feat(api-nodes): update xAI Grok nodes

.ci/windows_amd_base_files/run_amd_gpu_disable_smart_memory.bat

@@ -1,2 +1,2 @@
-.\python_embeded\python.exe -s ComfyUI\main.py --windows-standalone-build --enable-dynamic-vram
+.\python_embeded\python.exe -s ComfyUI\main.py --windows-standalone-build --disable-smart-memory
 pause

.ci/windows_intel_base_files/run_intel_gpu.bat

@@ -1,2 +0,0 @@
-.\python_embeded\python.exe -s ComfyUI\main.py --windows-standalone-build
-pause

.github/workflows/openapi-lint.yml

@@ -1,31 +0,0 @@
-name: OpenAPI Lint
-
-on:
-  pull_request:
-    paths:
-      - 'openapi.yaml'
-      - '.spectral.yaml'
-      - '.github/workflows/openapi-lint.yml'
-
-permissions:
-  contents: read
-
-jobs:
-  spectral:
-    name: Run Spectral
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-
-      - name: Set up Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: '20'
-
-      - name: Install Spectral
-        run: npm install -g @stoplight/spectral-cli@6
-
-      - name: Lint openapi.yaml
-        run: spectral lint openapi.yaml --ruleset .spectral.yaml --fail-severity=error

.github/workflows/release-stable-all.yml

@@ -20,12 +20,29 @@ jobs:
       git_tag: ${{ inputs.git_tag }}
       cache_tag: "cu130"
       python_minor: "13"
-      python_patch: "12"
+      python_patch: "11"
       rel_name: "nvidia"
       rel_extra_name: ""
       test_release: true
     secrets: inherit
 
+  release_nvidia_cu128:
+    permissions:
+      contents: "write"
+      packages: "write"
+      pull-requests: "read"
+    name: "Release NVIDIA cu128"
+    uses: ./.github/workflows/stable-release.yml
+    with:
+      git_tag: ${{ inputs.git_tag }}
+      cache_tag: "cu128"
+      python_minor: "12"
+      python_patch: "10"
+      rel_name: "nvidia"
+      rel_extra_name: "_cu128"
+      test_release: true
+    secrets: inherit
+
   release_nvidia_cu126:
     permissions:
       contents: "write"
@@ -59,20 +76,3 @@ jobs:
       rel_extra_name: ""
       test_release: false
     secrets: inherit
-
-  release_xpu:
-    permissions:
-      contents: "write"
-      packages: "write"
-      pull-requests: "read"
-    name: "Release Intel XPU"
-    uses: ./.github/workflows/stable-release.yml
-    with:
-      git_tag: ${{ inputs.git_tag }}
-      cache_tag: "xpu"
-      python_minor: "13"
-      python_patch: "12"
-      rel_name: "intel"
-      rel_extra_name: ""
-      test_release: true
-    secrets: inherit

.github/workflows/stable-release.yml

@@ -145,8 +145,6 @@ jobs:
           cp -r ComfyUI/.ci/windows_${{ inputs.rel_name }}_base_files/* ./
           cp ../update_comfyui_and_python_dependencies.bat ./update/
 
-          echo 'local-portable' > ComfyUI/.comfy_environment
-
           cd ..
 
           "C:\Program Files\7-Zip\7z.exe" a -t7z -m0=lzma2 -mx=9 -mfb=128 -md=768m -ms=on -mf=BCJ2 ComfyUI_windows_portable.7z ComfyUI_windows_portable

.github/workflows/tag-dispatch-cloud.yml

@@ -1,45 +0,0 @@
-name: Tag Dispatch to Cloud
-
-on:
-  push:
-    tags:
-      - 'v*'
-
-jobs:
-  dispatch-cloud:
-    runs-on: ubuntu-latest
-    steps:
-      - name: Send repository dispatch to cloud
-        env:
-          DISPATCH_TOKEN: ${{ secrets.CLOUD_REPO_DISPATCH_TOKEN }}
-          RELEASE_TAG: ${{ github.ref_name }}
-        run: |
-          set -euo pipefail
-
-          if [ -z "${DISPATCH_TOKEN:-}" ]; then
-            echo "::error::CLOUD_REPO_DISPATCH_TOKEN is required but not set."
-            exit 1
-          fi
-
-          RELEASE_URL="https://github.com/${{ github.repository }}/releases/tag/${RELEASE_TAG}"
-
-          PAYLOAD="$(jq -n \
-            --arg release_tag "$RELEASE_TAG" \
-            --arg release_url "$RELEASE_URL" \
-            '{
-              event_type: "comfyui_tag_pushed",
-              client_payload: {
-                release_tag: $release_tag,
-                release_url: $release_url
-              }
-            }')"
-
-          curl -fsSL \
-            -X POST \
-            -H "Accept: application/vnd.github+json" \
-            -H "Content-Type: application/json" \
-            -H "Authorization: Bearer ${DISPATCH_TOKEN}" \
-            https://api.github.com/repos/Comfy-Org/cloud/dispatches \
-            -d "$PAYLOAD"
-
-          echo "✅ Dispatched ComfyUI tag ${RELEASE_TAG} to Comfy-Org/cloud"

.gitignore

@@ -21,6 +21,6 @@ venv*/
 *.log
 web_custom_versions/
 .DS_Store
+openapi.yaml
 filtered-openapi.yaml
 uv.lock
-.comfy_environment

.spectral.yaml

@@ -1,91 +0,0 @@
-extends:
-  - spectral:oas
-
-# Severity levels: error, warn, info, hint, off
-# Rules from the built-in "spectral:oas" ruleset are active by default.
-# Below we tune severity and add custom rules for our conventions.
-#
-# This ruleset mirrors Comfy-Org/cloud/.spectral.yaml so specs across the
-# organization are linted against a single consistent standard.
-
-rules:
-  # -----------------------------------------------------------------------
-  # Built-in rule severity overrides
-  # -----------------------------------------------------------------------
-  operation-operationId: error
-  operation-description: warn
-  operation-tag-defined: error
-  info-contact: off
-  info-description: warn
-  no-eval-in-markdown: error
-  no-$ref-siblings: error
-
-  # -----------------------------------------------------------------------
-  # Custom rules: naming conventions
-  # -----------------------------------------------------------------------
-
-  # Property names should be snake_case
-  property-name-snake-case:
-    description: Property names must be snake_case
-    severity: warn
-    given: "$.components.schemas.*.properties[*]~"
-    then:
-      function: pattern
-      functionOptions:
-        match: "^[a-z][a-z0-9]*(_[a-z0-9]+)*$"
-
-  # Operation IDs should be camelCase
-  operation-id-camel-case:
-    description: Operation IDs must be camelCase
-    severity: warn
-    given: "$.paths.*.*.operationId"
-    then:
-      function: pattern
-      functionOptions:
-        match: "^[a-z][a-zA-Z0-9]*$"
-
-  # -----------------------------------------------------------------------
-  # Custom rules: response conventions
-  # -----------------------------------------------------------------------
-
-  # Error responses (4xx, 5xx) should use a consistent shape
-  error-response-schema:
-    description: Error responses should reference a standard error schema
-    severity: hint
-    given: "$.paths.*.*.responses[?(@property >= '400' && @property < '600')].content['application/json'].schema"
-    then:
-      field: "$ref"
-      function: truthy
-
-  # All 2xx responses with JSON body should have a schema
-  response-schema-defined:
-    description: Success responses with JSON content should define a schema
-    severity: warn
-    given: "$.paths.*.*.responses[?(@property >= '200' && @property < '300')].content['application/json']"
-    then:
-      field: schema
-      function: truthy
-
-  # -----------------------------------------------------------------------
-  # Custom rules: best practices
-  # -----------------------------------------------------------------------
-
-  # Path parameters must have a description
-  path-param-description:
-    description: Path parameters should have a description
-    severity: warn
-    given:
-      - "$.paths.*.parameters[?(@.in == 'path')]"
-      - "$.paths.*.*.parameters[?(@.in == 'path')]"
-    then:
-      field: description
-      function: truthy
-
-  # Schemas should have a description
-  schema-description:
-    description: Component schemas should have a description
-    severity: hint
-    given: "$.components.schemas.*"
-    then:
-      field: description
-      function: truthy

CODEOWNERS

@@ -1,2 +1,2 @@
 # Admins
-* @comfyanonymous @kosinkadink @guill @alexisrolland @rattus128 @kijai
+* @comfyanonymous @kosinkadink @guill

QUANTIZATION.md

@@ -139,9 +139,9 @@ Example:
   "_quantization_metadata": {
     "format_version": "1.0",
     "layers": {
-      "model.layers.0.mlp.up_proj": {"format": "float8_e4m3fn"},
-      "model.layers.0.mlp.down_proj": {"format": "float8_e4m3fn"},
-      "model.layers.1.mlp.up_proj": {"format": "float8_e4m3fn"}
+      "model.layers.0.mlp.up_proj": "float8_e4m3fn",
+      "model.layers.0.mlp.down_proj": "float8_e4m3fn",
+      "model.layers.1.mlp.up_proj": "float8_e4m3fn"
     }
   }
 }
@@ -165,4 +165,4 @@ Activation quantization (e.g., for FP8 Tensor Core operations) requires `input_s
 3. **Compute scales**: Derive `input_scale` from collected statistics
 4. **Store in checkpoint**: Save `input_scale` parameters alongside weights
 
-The calibration dataset should be representative of your target use case. For diffusion models, this typically means a diverse set of prompts and generation parameters.
+The calibration dataset should be representative of your target use case. For diffusion models, this typically means a diverse set of prompts and generation parameters.

README.md

@@ -1,7 +1,7 @@
 <div align="center">
 
 # ComfyUI
-**The most powerful and modular AI engine for content creation.**
+**The most powerful and modular visual AI engine and application.**
 
 
 [![Website][website-shield]][website-url]
@@ -31,16 +31,10 @@
 [github-downloads-latest-shield]: https://img.shields.io/github/downloads/comfyanonymous/ComfyUI/latest/total?style=flat&label=downloads%40latest
 [github-downloads-link]: https://github.com/comfyanonymous/ComfyUI/releases
 
-<img width="1590" height="795" alt="ComfyUI Screenshot" src="https://github.com/user-attachments/assets/36e065e0-bfae-4456-8c7f-8369d5ea48a2" />
-<br>
+![ComfyUI Screenshot](https://github.com/user-attachments/assets/7ccaf2c1-9b72-41ae-9a89-5688c94b7abe)
 </div>
 
-ComfyUI is the AI creation engine for visual professionals who demand control over every model, every parameter, and every output. Its powerful and modular node graph interface empowers creatives to generate images, videos, 3D models, audio, and more...
-- ComfyUI natively supports the latest open-source state of the art models.
-- API nodes provide access to the best closed source models such as Nano Banana, Seedance, Hunyuan3D, etc.
-- It is available on Windows, Linux, and macOS, locally with our desktop application or on our cloud.
-- The most sophisticated workflows can be exposed through a simple UI thanks to App Mode.
-- It integrates seamlessly into production pipelines with our API endpoints.
+ComfyUI lets you design and execute advanced stable diffusion pipelines using a graph/nodes/flowchart based interface. Available on Windows, Linux, and macOS.
 
 ## Get Started
 
@@ -67,7 +61,6 @@ See what ComfyUI can do with the [newer template workflows](https://comfy.org/wo
 
 ## Features
 - Nodes/graph/flowchart interface to experiment and create complex Stable Diffusion workflows without needing to code anything.
-- NOTE: There are many more models supported than the list below, if you want to see what is supported see our templates list inside ComfyUI.
 - Image Models
    - SD1.x, SD2.x ([unCLIP](https://comfyanonymous.github.io/ComfyUI_examples/unclip/))
    - [SDXL](https://comfyanonymous.github.io/ComfyUI_examples/sdxl/), [SDXL Turbo](https://comfyanonymous.github.io/ComfyUI_examples/sdturbo/)
@@ -83,7 +76,6 @@ See what ComfyUI can do with the [newer template workflows](https://comfy.org/wo
    - [Hunyuan Image 2.1](https://comfyanonymous.github.io/ComfyUI_examples/hunyuan_image/)
    - [Flux 2](https://comfyanonymous.github.io/ComfyUI_examples/flux2/)
    - [Z Image](https://comfyanonymous.github.io/ComfyUI_examples/z_image/)
-   - Ernie Image
 - Image Editing Models
    - [Omnigen 2](https://comfyanonymous.github.io/ComfyUI_examples/omnigen/)
    - [Flux Kontext](https://comfyanonymous.github.io/ComfyUI_examples/flux/#flux-kontext-image-editing-model)
@@ -133,7 +125,7 @@ Workflow examples can be found on the [Examples page](https://comfyanonymous.git
 ComfyUI follows a weekly release cycle targeting Monday but this regularly changes because of model releases or large changes to the codebase. There are three interconnected repositories:
 
 1. **[ComfyUI Core](https://github.com/comfyanonymous/ComfyUI)**
-   - Releases a new major stable version (e.g., v0.7.0) roughly every 2 weeks.
+   - Releases a new stable version (e.g., v0.7.0) roughly every week.
    - Starting from v0.4.0 patch versions will be used for fixes backported onto the current stable release.
    - Minor versions will be used for releases off the master branch.
    - Patch versions may still be used for releases on the master branch in cases where a backport would not make sense.
@@ -144,7 +136,7 @@ ComfyUI follows a weekly release cycle targeting Monday but this regularly chang
    - Builds a new release using the latest stable core version
 
 3. **[ComfyUI Frontend](https://github.com/Comfy-Org/ComfyUI_frontend)**
-   - Every 2+ weeks frontend updates are merged into the core repository
+   - Weekly frontend updates are merged into the core repository
    - Features are frozen for the upcoming core release
    - Development continues for the next release cycle
 
@@ -200,15 +192,11 @@ If you have trouble extracting it, right click the file -> properties -> unblock
 
 The portable above currently comes with python 3.13 and pytorch cuda 13.0. Update your Nvidia drivers if it doesn't start.
 
-#### All Official Portable Downloads:
+#### Alternative Downloads:
 
-[Portable for AMD GPUs](https://github.com/comfyanonymous/ComfyUI/releases/latest/download/ComfyUI_windows_portable_amd.7z)
+[Experimental portable for AMD GPUs](https://github.com/comfyanonymous/ComfyUI/releases/latest/download/ComfyUI_windows_portable_amd.7z)
 
-[Portable for Intel GPUs](https://github.com/comfyanonymous/ComfyUI/releases/latest/download/ComfyUI_windows_portable_intel.7z)
-
-[Portable for Nvidia GPUs](https://github.com/comfyanonymous/ComfyUI/releases/latest/download/ComfyUI_windows_portable_nvidia.7z) (supports 20 series and above).
-
-[Portable for Nvidia GPUs with pytorch cuda 12.6 and python 3.12](https://github.com/comfyanonymous/ComfyUI/releases/latest/download/ComfyUI_windows_portable_nvidia_cu126.7z) (Supports Nvidia 10 series and older GPUs).
+[Portable with pytorch cuda 12.6 and python 3.12](https://github.com/comfyanonymous/ComfyUI/releases/latest/download/ComfyUI_windows_portable_nvidia_cu126.7z) (Supports Nvidia 10 series and older GPUs).
 
 #### How do I share models between another UI and ComfyUI?
 
@@ -244,7 +232,7 @@ Put your VAE in: models/vae
 
 AMD users can install rocm and pytorch with pip if you don't have it already installed, this is the command to install the stable version:
 
-```pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm7.2```
+```pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm7.1```
 
 This is the command to install the nightly with ROCm 7.2 which might have some performance improvements:
 
@@ -287,7 +275,7 @@ Nvidia users should install stable pytorch using this command:
 
 This is the command to install pytorch nightly instead which might have performance improvements.
 
-```pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu132```
+```pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu130```
 
 #### Troubleshooting
 

api_server/routes/internal/internal_routes.py

@@ -67,7 +67,7 @@ class InternalRoutes:
                 (entry for entry in os.scandir(directory) if is_visible_file(entry)),
                 key=lambda entry: -entry.stat().st_mtime
             )
-            return web.json_response([f"{entry.name} [{directory_type}]" for entry in sorted_files], status=200)
+            return web.json_response([entry.name for entry in sorted_files], status=200)
 
 
     def get_app(self):

app/assets/database/queries/__init__.py

@@ -1,7 +1,6 @@
 from app.assets.database.queries.asset import (
     asset_exists_by_hash,
     bulk_insert_assets,
-    create_stub_asset,
     get_asset_by_hash,
     get_existing_asset_ids,
     reassign_asset_references,
@@ -13,7 +12,6 @@ from app.assets.database.queries.asset_reference import (
     UnenrichedReferenceRow,
     bulk_insert_references_ignore_conflicts,
     bulk_update_enrichment_level,
-    count_active_siblings,
     bulk_update_is_missing,
     bulk_update_needs_verify,
     convert_metadata_to_rows,
@@ -82,8 +80,6 @@ __all__ = [
     "bulk_insert_references_ignore_conflicts",
     "bulk_insert_tags_and_meta",
     "bulk_update_enrichment_level",
-    "count_active_siblings",
-    "create_stub_asset",
     "bulk_update_is_missing",
     "bulk_update_needs_verify",
     "convert_metadata_to_rows",

app/assets/database/queries/asset.py

@@ -78,18 +78,6 @@ def upsert_asset(
     return asset, created, updated
 
 
-def create_stub_asset(
-    session: Session,
-    size_bytes: int,
-    mime_type: str | None = None,
-) -> Asset:
-    """Create a new asset with no hash (stub for later enrichment)."""
-    asset = Asset(size_bytes=size_bytes, mime_type=mime_type, hash=None)
-    session.add(asset)
-    session.flush()
-    return asset
-
-
 def bulk_insert_assets(
     session: Session,
     rows: list[dict],

app/assets/database/queries/asset_reference.py

@@ -114,23 +114,6 @@ def get_reference_by_file_path(
     )
 
 
-def count_active_siblings(
-    session: Session,
-    asset_id: str,
-    exclude_reference_id: str,
-) -> int:
-    """Count active (non-deleted) references to an asset, excluding one reference."""
-    return (
-        session.query(AssetReference)
-        .filter(
-            AssetReference.asset_id == asset_id,
-            AssetReference.id != exclude_reference_id,
-            AssetReference.deleted_at.is_(None),
-        )
-        .count()
-    )
-
-
 def reference_exists_for_asset_id(
     session: Session,
     asset_id: str,

app/assets/scanner.py

@@ -13,7 +13,6 @@ from app.assets.database.queries import (
     delete_references_by_ids,
     ensure_tags_exist,
     get_asset_by_hash,
-    get_reference_by_id,
     get_references_for_prefixes,
     get_unenriched_references,
     mark_references_missing_outside_prefixes,
@@ -339,7 +338,6 @@ def build_asset_specs(
                 "metadata": metadata,
                 "hash": asset_hash,
                 "mime_type": mime_type,
-                "job_id": None,
             }
         )
         tag_pool.update(tags)
@@ -428,7 +426,6 @@ def enrich_asset(
     except OSError:
         return new_level
 
-    initial_mtime_ns = get_mtime_ns(stat_p)
     rel_fname = compute_relative_filename(file_path)
     mime_type: str | None = None
     metadata = None
@@ -492,18 +489,6 @@ def enrich_asset(
         except Exception as e:
             logging.warning("Failed to hash %s: %s", file_path, e)
 
-    # Optimistic guard: if the reference's mtime_ns changed since we
-    # started (e.g. ingest_existing_file updated it), our results are
-    # stale — discard them to avoid overwriting fresh registration data.
-    ref = get_reference_by_id(session, reference_id)
-    if ref is None or ref.mtime_ns != initial_mtime_ns:
-        session.rollback()
-        logging.info(
-            "Ref %s mtime changed during enrichment, discarding stale result",
-            reference_id,
-        )
-        return ENRICHMENT_STUB
-
     if extract_metadata and metadata:
         system_metadata = metadata.to_user_metadata()
         set_reference_system_metadata(session, reference_id, system_metadata)

app/assets/seeder.py

@@ -77,9 +77,7 @@ class _AssetSeeder:
     """
 
     def __init__(self) -> None:
-        # RLock is required because _run_scan() drains pending work while
-        # holding _lock and re-enters start() which also acquires _lock.
-        self._lock = threading.RLock()
+        self._lock = threading.Lock()
         self._state = State.IDLE
         self._progress: Progress | None = None
         self._last_progress: Progress | None = None
@@ -94,7 +92,6 @@ class _AssetSeeder:
         self._prune_first: bool = False
         self._progress_callback: ProgressCallback | None = None
         self._disabled: bool = False
-        self._pending_enrich: dict | None = None
 
     def disable(self) -> None:
         """Disable the asset seeder, preventing any scans from starting."""
@@ -199,42 +196,6 @@ class _AssetSeeder:
             compute_hashes=compute_hashes,
         )
 
-    def enqueue_enrich(
-        self,
-        roots: tuple[RootType, ...] = ("models", "input", "output"),
-        compute_hashes: bool = False,
-    ) -> bool:
-        """Start an enrichment scan now, or queue it for after the current scan.
-
-        If the seeder is idle, starts immediately. Otherwise, the enrich
-        request is stored and will run automatically when the current scan
-        finishes.
-
-        Args:
-            roots: Tuple of root types to scan
-            compute_hashes: If True, compute blake3 hashes
-
-        Returns:
-            True if started immediately, False if queued for later
-        """
-        with self._lock:
-            if self.start_enrich(roots=roots, compute_hashes=compute_hashes):
-                return True
-            if self._pending_enrich is not None:
-                existing_roots = set(self._pending_enrich["roots"])
-                existing_roots.update(roots)
-                self._pending_enrich["roots"] = tuple(existing_roots)
-                self._pending_enrich["compute_hashes"] = (
-                    self._pending_enrich["compute_hashes"] or compute_hashes
-                )
-            else:
-                self._pending_enrich = {
-                    "roots": roots,
-                    "compute_hashes": compute_hashes,
-                }
-            logging.info("Enrich scan queued (roots=%s)", self._pending_enrich["roots"])
-        return False
-
     def cancel(self) -> bool:
         """Request cancellation of the current scan.
 
@@ -420,13 +381,9 @@ class _AssetSeeder:
             return marked
         finally:
             with self._lock:
-                self._reset_to_idle()
-
-    def _reset_to_idle(self) -> None:
-        """Reset state to IDLE, preserving last progress. Caller must hold _lock."""
-        self._last_progress = self._progress
-        self._state = State.IDLE
-        self._progress = None
+                self._last_progress = self._progress
+                self._state = State.IDLE
+                self._progress = None
 
     def _is_cancelled(self) -> bool:
         """Check if cancellation has been requested."""
@@ -637,18 +594,9 @@ class _AssetSeeder:
                     },
                 )
             with self._lock:
-                self._reset_to_idle()
-                pending = self._pending_enrich
-                if pending is not None:
-                    self._pending_enrich = None
-                    if not self.start_enrich(
-                        roots=pending["roots"],
-                        compute_hashes=pending["compute_hashes"],
-                    ):
-                        logging.warning(
-                            "Pending enrich scan could not start (roots=%s)",
-                            pending["roots"],
-                        )
+                self._last_progress = self._progress
+                self._state = State.IDLE
+                self._progress = None
 
     def _run_fast_phase(self, roots: tuple[RootType, ...]) -> tuple[int, int, int]:
         """Run phase 1: fast scan to create stub records.

app/assets/services/__init__.py

@@ -23,8 +23,6 @@ from app.assets.services.ingest import (
     DependencyMissingError,
     HashMismatchError,
     create_from_hash,
-    ingest_existing_file,
-    register_output_files,
     upload_from_temp_path,
 )
 from app.assets.database.queries import (
@@ -74,8 +72,6 @@ __all__ = [
     "delete_asset_reference",
     "get_asset_by_hash",
     "get_asset_detail",
-    "ingest_existing_file",
-    "register_output_files",
     "get_mtime_ns",
     "get_size_and_mtime_ns",
     "list_assets_page",

app/assets/services/bulk_ingest.py

@@ -37,7 +37,6 @@ class SeedAssetSpec(TypedDict):
     metadata: ExtractedMetadata | None
     hash: str | None
     mime_type: str | None
-    job_id: str | None
 
 
 class AssetRow(TypedDict):
@@ -61,7 +60,6 @@ class ReferenceRow(TypedDict):
     name: str
     preview_id: str | None
     user_metadata: dict[str, Any] | None
-    job_id: str | None
     created_at: datetime
     updated_at: datetime
     last_access_time: datetime
@@ -169,7 +167,6 @@ def batch_insert_seed_assets(
                 "name": spec["info_name"],
                 "preview_id": None,
                 "user_metadata": user_metadata,
-                "job_id": spec.get("job_id"),
                 "created_at": current_time,
                 "updated_at": current_time,
                 "last_access_time": current_time,

app/assets/services/ingest.py

@@ -9,9 +9,6 @@ from sqlalchemy.orm import Session
 import app.assets.services.hashing as hashing
 from app.assets.database.queries import (
     add_tags_to_reference,
-    count_active_siblings,
-    create_stub_asset,
-    ensure_tags_exist,
     fetch_reference_and_asset,
     get_asset_by_hash,
     get_reference_by_file_path,
@@ -26,8 +23,7 @@ from app.assets.database.queries import (
     upsert_reference,
     validate_tags_exist,
 )
-from app.assets.helpers import get_utc_now, normalize_tags
-from app.assets.services.bulk_ingest import batch_insert_seed_assets
+from app.assets.helpers import normalize_tags
 from app.assets.services.file_utils import get_size_and_mtime_ns
 from app.assets.services.path_utils import (
     compute_relative_filename,
@@ -134,102 +130,6 @@ def _ingest_file_from_path(
     )
 
 
-def register_output_files(
-    file_paths: Sequence[str],
-    user_metadata: UserMetadata = None,
-    job_id: str | None = None,
-) -> int:
-    """Register a batch of output file paths as assets.
-
-    Returns the number of files successfully registered.
-    """
-    registered = 0
-    for abs_path in file_paths:
-        if not os.path.isfile(abs_path):
-            continue
-        try:
-            if ingest_existing_file(
-                abs_path, user_metadata=user_metadata, job_id=job_id
-            ):
-                registered += 1
-        except Exception:
-            logging.exception("Failed to register output: %s", abs_path)
-    return registered
-
-
-def ingest_existing_file(
-    abs_path: str,
-    user_metadata: UserMetadata = None,
-    extra_tags: Sequence[str] = (),
-    owner_id: str = "",
-    job_id: str | None = None,
-) -> bool:
-    """Register an existing on-disk file as an asset stub.
-
-    If a reference already exists for this path, updates mtime_ns, job_id,
-    size_bytes, and resets enrichment so the enricher will re-hash it.
-
-    For brand-new paths, inserts a stub record (hash=NULL) for immediate
-    UX visibility.
-
-    Returns True if a row was inserted or updated, False otherwise.
-    """
-    locator = os.path.abspath(abs_path)
-    size_bytes, mtime_ns = get_size_and_mtime_ns(abs_path)
-    mime_type = mimetypes.guess_type(abs_path, strict=False)[0]
-    name, path_tags = get_name_and_tags_from_asset_path(abs_path)
-    tags = list(dict.fromkeys(path_tags + list(extra_tags)))
-
-    with create_session() as session:
-        existing_ref = get_reference_by_file_path(session, locator)
-        if existing_ref is not None:
-            now = get_utc_now()
-            existing_ref.mtime_ns = mtime_ns
-            existing_ref.job_id = job_id
-            existing_ref.is_missing = False
-            existing_ref.deleted_at = None
-            existing_ref.updated_at = now
-            existing_ref.enrichment_level = 0
-
-            asset = existing_ref.asset
-            if asset:
-                # If other refs share this asset, detach to a new stub
-                # instead of mutating the shared row.
-                siblings = count_active_siblings(session, asset.id, existing_ref.id)
-                if siblings > 0:
-                    new_asset = create_stub_asset(
-                        session,
-                        size_bytes=size_bytes,
-                        mime_type=mime_type or asset.mime_type,
-                    )
-                    existing_ref.asset_id = new_asset.id
-                else:
-                    asset.hash = None
-                    asset.size_bytes = size_bytes
-                    if mime_type:
-                        asset.mime_type = mime_type
-            session.commit()
-            return True
-
-        spec = {
-            "abs_path": abs_path,
-            "size_bytes": size_bytes,
-            "mtime_ns": mtime_ns,
-            "info_name": name,
-            "tags": tags,
-            "fname": os.path.basename(abs_path),
-            "metadata": None,
-            "hash": None,
-            "mime_type": mime_type,
-            "job_id": job_id,
-        }
-        if tags:
-            ensure_tags_exist(session, tags)
-        result = batch_insert_seed_assets(session, [spec], owner_id=owner_id)
-        session.commit()
-        return result.won_paths > 0
-
-
 def _register_existing_asset(
     asset_hash: str,
     name: str,

app/assets/services/path_utils.py

@@ -93,13 +93,12 @@ def compute_relative_filename(file_path: str) -> str | None:
 
 def get_asset_category_and_relative_path(
     file_path: str,
-) -> tuple[Literal["input", "output", "temp", "models"], str]:
+) -> tuple[Literal["input", "output", "models"], str]:
     """Determine which root category a file path belongs to.
 
     Categories:
       - 'input': under folder_paths.get_input_directory()
       - 'output': under folder_paths.get_output_directory()
-      - 'temp': under folder_paths.get_temp_directory()
       - 'models': under any base path from get_comfy_models_folders()
 
     Returns:
@@ -130,12 +129,7 @@ def get_asset_category_and_relative_path(
     if _check_is_within(fp_abs, output_base):
         return "output", _compute_relative(fp_abs, output_base)
 
-    # 3) temp
-    temp_base = os.path.abspath(folder_paths.get_temp_directory())
-    if _check_is_within(fp_abs, temp_base):
-        return "temp", _compute_relative(fp_abs, temp_base)
-
-    # 4) models (check deepest matching base to avoid ambiguity)
+    # 3) models (check deepest matching base to avoid ambiguity)
     best: tuple[int, str, str] | None = None  # (base_len, bucket, rel_inside_bucket)
     for bucket, bases in get_comfy_models_folders():
         for b in bases:
@@ -152,7 +146,7 @@ def get_asset_category_and_relative_path(
         return "models", os.path.relpath(os.path.join(os.sep, combined), os.sep)
 
     raise ValueError(
-        f"Path is not within input, output, temp, or configured model bases: {file_path}"
+        f"Path is not within input, output, or configured model bases: {file_path}"
     )
 
 

app/frontend_management.py

@@ -27,7 +27,7 @@ def frontend_install_warning_message():
     return f"""
 {get_missing_requirements_message()}
 
-The ComfyUI frontend is shipped in a pip package so it needs to be updated separately from the ComfyUI code.
+This error is happening because the ComfyUI frontend is no longer shipped as part of the main repo but as a pip package instead.
 """.strip()
 
 def parse_version(version: str) -> tuple[int, int, int]:

app/node_replace_manager.py

@@ -1,7 +1,5 @@
 from __future__ import annotations
 
-import logging
-
 from aiohttp import web
 
 from typing import TYPE_CHECKING, TypedDict
@@ -33,22 +31,8 @@ class NodeReplaceManager:
         self._replacements: dict[str, list[NodeReplace]] = {}
 
     def register(self, node_replace: NodeReplace):
-        """Register a node replacement mapping.
-
-        Idempotent: if a replacement with the same (old_node_id, new_node_id)
-        is already registered, the duplicate is ignored. This prevents stale
-        entries from accumulating when custom nodes are reloaded in the same
-        process (e.g. via ComfyUI-Manager).
-        """
-        existing = self._replacements.setdefault(node_replace.old_node_id, [])
-        for entry in existing:
-            if entry.new_node_id == node_replace.new_node_id:
-                logging.debug(
-                    "Node replacement %s -> %s already registered, ignoring duplicate.",
-                    node_replace.old_node_id, node_replace.new_node_id,
-                )
-                return
-        existing.append(node_replace)
+        """Register a node replacement mapping."""
+        self._replacements.setdefault(node_replace.old_node_id, []).append(node_replace)
 
     def get_replacement(self, old_node_id: str) -> list[NodeReplace] | None:
         """Get replacements for an old node ID."""

app/user_manager.py

@@ -28,8 +28,8 @@ def get_file_info(path: str, relative_to: str) -> FileInfo:
     return {
         "path": os.path.relpath(path, relative_to).replace(os.sep, '/'),
         "size": os.path.getsize(path),
-        "modified": int(os.path.getmtime(path) * 1000),
-        "created": int(os.path.getctime(path) * 1000),
+        "modified": os.path.getmtime(path),
+        "created": os.path.getctime(path)
     }
 
 

blueprints/.glsl/Color_Balance_15.frag

@@ -1,90 +0,0 @@
-#version 300 es
-precision highp float;
-
-uniform sampler2D u_image0;
-uniform float u_float0;
-uniform float u_float1;
-uniform float u_float2;
-uniform float u_float3;
-uniform float u_float4;
-uniform float u_float5;
-uniform float u_float6;
-uniform float u_float7;
-uniform float u_float8;
-uniform bool u_bool0;
-
-in vec2 v_texCoord;
-out vec4 fragColor;
-
-vec3 rgb2hsl(vec3 c) {
-    float maxC = max(c.r, max(c.g, c.b));
-    float minC = min(c.r, min(c.g, c.b));
-    float l = (maxC + minC) * 0.5;
-    if (maxC == minC) return vec3(0.0, 0.0, l);
-    float d = maxC - minC;
-    float s = l > 0.5 ? d / (2.0 - maxC - minC) : d / (maxC + minC);
-    float h;
-    if (maxC == c.r) {
-        h = (c.g - c.b) / d + (c.g < c.b ? 6.0 : 0.0);
-    } else if (maxC == c.g) {
-        h = (c.b - c.r) / d + 2.0;
-    } else {
-        h = (c.r - c.g) / d + 4.0;
-    }
-    h /= 6.0;
-    return vec3(h, s, l);
-}
-
-float hue2rgb(float p, float q, float t) {
-    if (t < 0.0) t += 1.0;
-    if (t > 1.0) t -= 1.0;
-    if (t < 1.0 / 6.0) return p + (q - p) * 6.0 * t;
-    if (t < 1.0 / 2.0) return q;
-    if (t < 2.0 / 3.0) return p + (q - p) * (2.0 / 3.0 - t) * 6.0;
-    return p;
-}
-
-vec3 hsl2rgb(vec3 hsl) {
-    float h = hsl.x, s = hsl.y, l = hsl.z;
-    if (s == 0.0) return vec3(l);
-    float q = l < 0.5 ? l * (1.0 + s) : l + s - l * s;
-    float p = 2.0 * l - q;
-    return vec3(
-        hue2rgb(p, q, h + 1.0 / 3.0),
-        hue2rgb(p, q, h),
-        hue2rgb(p, q, h - 1.0 / 3.0)
-    );
-}
-
-void main() {
-    vec4 tex = texture(u_image0, v_texCoord);
-    vec3 color = tex.rgb;
-
-    vec3 shadows = vec3(u_float0, u_float1, u_float2) * 0.01;
-    vec3 midtones = vec3(u_float3, u_float4, u_float5) * 0.01;
-    vec3 highlights = vec3(u_float6, u_float7, u_float8) * 0.01;
-
-    float maxC = max(color.r, max(color.g, color.b));
-    float minC = min(color.r, min(color.g, color.b));
-    float lightness = (maxC + minC) * 0.5;
-
-    // GIMP weight curves: linear ramps with constants a=0.25, b=0.333, scale=0.7
-    const float a = 0.25;
-    const float b = 0.333;
-    const float scale = 0.7;
-
-    float sw = clamp((lightness - b) / -a + 0.5, 0.0, 1.0) * scale;
-    float mw = clamp((lightness - b) / a + 0.5, 0.0, 1.0) *
-               clamp((lightness + b - 1.0) / -a + 0.5, 0.0, 1.0) * scale;
-    float hw = clamp((lightness + b - 1.0) / a + 0.5, 0.0, 1.0) * scale;
-
-    color += sw * shadows + mw * midtones + hw * highlights;
-
-    if (u_bool0) {
-        vec3 hsl = rgb2hsl(clamp(color, 0.0, 1.0));
-        hsl.z = lightness;
-        color = hsl2rgb(hsl);
-    }
-
-    fragColor = vec4(clamp(color, 0.0, 1.0), tex.a);
-}

blueprints/.glsl/Color_Curves_8.frag

@@ -1,49 +0,0 @@
-#version 300 es
-precision highp float;
-
-uniform sampler2D u_image0;
-uniform sampler2D u_curve0;  // RGB master curve (256x1 LUT)
-uniform sampler2D u_curve1;  // Red channel curve
-uniform sampler2D u_curve2;  // Green channel curve
-uniform sampler2D u_curve3;  // Blue channel curve
-
-in vec2 v_texCoord;
-layout(location = 0) out vec4 fragColor0;
-
-// GIMP-compatible curve lookup with manual linear interpolation.
-// Matches gimp_curve_map_value_inline() from gimpcurve-map.c:
-//   index = value * (n_samples - 1)
-//   f = fract(index)
-//   result = (1-f) * samples[floor] + f * samples[ceil]
-//
-// Uses texelFetch (NEAREST) to avoid GPU half-texel offset issues
-// that occur with texture() + GL_LINEAR on small 256x1 LUTs.
-float applyCurve(sampler2D curve, float value) {
-    value = clamp(value, 0.0, 1.0);
-
-    float pos = value * 255.0;
-    int lo = int(floor(pos));
-    int hi = min(lo + 1, 255);
-    float f = pos - float(lo);
-
-    float a = texelFetch(curve, ivec2(lo, 0), 0).r;
-    float b = texelFetch(curve, ivec2(hi, 0), 0).r;
-
-    return a + f * (b - a);
-}
-
-void main() {
-    vec4 color = texture(u_image0, v_texCoord);
-
-    // GIMP order: per-channel curves first, then RGB master curve.
-    // See gimp_curve_map_pixels() default case in gimpcurve-map.c:
-    //   dest = colors_curve( channel_curve( src ) )
-    float tmp_r = applyCurve(u_curve1, color.r);
-    float tmp_g = applyCurve(u_curve2, color.g);
-    float tmp_b = applyCurve(u_curve3, color.b);
-    color.r = applyCurve(u_curve0, tmp_r);
-    color.g = applyCurve(u_curve0, tmp_g);
-    color.b = applyCurve(u_curve0, tmp_b);
-
-    fragColor0 = vec4(color.rgb, color.a);
-}

blueprints/.glsl/Glow_30.frag

@@ -2,6 +2,7 @@
 precision mediump float;
 
 uniform sampler2D u_image0;
+uniform vec2 u_resolution;
 uniform int u_int0;      // Blend mode
 uniform int u_int1;      // Color tint
 uniform float u_float0;  // Intensity
@@ -74,7 +75,7 @@ void main() {
     float t0 = threshold - 0.15;
     float t1 = threshold + 0.15;
     
-    vec2 texelSize = 1.0 / vec2(textureSize(u_image0, 0));
+    vec2 texelSize = 1.0 / u_resolution;
     float radius2 = radius * radius;
     
     float sampleScale = clamp(radius * 0.75, 0.35, 1.0);

blueprints/.glsl/Image_Blur_1.frag

@@ -12,6 +12,7 @@ const int RADIAL_SAMPLES = 12;
 const float RADIAL_STRENGTH = 0.0003;
 
 uniform sampler2D u_image0;
+uniform vec2 u_resolution;
 uniform int u_int0;      // Blur type (BLUR_GAUSSIAN, BLUR_BOX, BLUR_RADIAL)
 uniform float u_float0;  // Blur radius/amount
 uniform int u_pass;      // Pass index (0 = horizontal, 1 = vertical)
@@ -24,7 +25,7 @@ float gaussian(float x, float sigma) {
 }
 
 void main() {
-    vec2 texelSize = 1.0 / vec2(textureSize(u_image0, 0));
+    vec2 texelSize = 1.0 / u_resolution;
     float radius = max(u_float0, 0.0);
 
     // Radial (angular) blur - single pass, doesn't use separable

blueprints/.glsl/Sharpen_23.frag

@@ -2,13 +2,14 @@
 precision highp float;
 
 uniform sampler2D u_image0;
+uniform vec2 u_resolution;
 uniform float u_float0;  // strength [0.0 – 2.0] typical: 0.3–1.0
 
 in vec2 v_texCoord;
 layout(location = 0) out vec4 fragColor0;
 
 void main() {
-    vec2 texel = 1.0 / vec2(textureSize(u_image0, 0));
+    vec2 texel = 1.0 / u_resolution;
     
     // Sample center and neighbors
     vec4 center = texture(u_image0, v_texCoord);

blueprints/.glsl/Unsharp_Mask_26.frag

@@ -2,6 +2,7 @@
 precision highp float;
 
 uniform sampler2D u_image0;
+uniform vec2 u_resolution;
 uniform float u_float0;  // amount    [0.0 - 3.0]  typical: 0.5-1.5
 uniform float u_float1;  // radius    [0.5 - 10.0] blur radius in pixels
 uniform float u_float2;  // threshold [0.0 - 0.1]  min difference to sharpen
@@ -18,7 +19,7 @@ float getLuminance(vec3 color) {
 }
 
 void main() {
-    vec2 texel = 1.0 / vec2(textureSize(u_image0, 0));
+    vec2 texel = 1.0 / u_resolution;
     float radius = max(u_float1, 0.5);
     float amount = u_float0;
     float threshold = u_float2;

blueprints/Color Curves.json

@@ -1,616 +0,0 @@
-{
-  "revision": 0,
-  "last_node_id": 10,
-  "last_link_id": 0,
-  "nodes": [
-    {
-      "id": 10,
-      "type": "d5c462c8-1372-4af8-84f2-547c83470d04",
-      "pos": [
-        3610,
-        -2630
-      ],
-      "size": [
-        270,
-        420
-      ],
-      "flags": {},
-      "order": 0,
-      "mode": 0,
-      "inputs": [
-        {
-          "label": "image",
-          "localized_name": "images.image0",
-          "name": "images.image0",
-          "type": "IMAGE",
-          "link": null
-        }
-      ],
-      "outputs": [
-        {
-          "label": "IMAGE",
-          "localized_name": "IMAGE0",
-          "name": "IMAGE0",
-          "type": "IMAGE",
-          "links": []
-        }
-      ],
-      "properties": {
-        "proxyWidgets": [
-          [
-            "4",
-            "curve"
-          ],
-          [
-            "5",
-            "curve"
-          ],
-          [
-            "6",
-            "curve"
-          ],
-          [
-            "7",
-            "curve"
-          ]
-        ]
-      },
-      "widgets_values": [],
-      "title": "Color Curves"
-    }
-  ],
-  "links": [],
-  "version": 0.4,
-  "definitions": {
-    "subgraphs": [
-      {
-        "id": "d5c462c8-1372-4af8-84f2-547c83470d04",
-        "version": 1,
-        "state": {
-          "lastGroupId": 0,
-          "lastNodeId": 9,
-          "lastLinkId": 38,
-          "lastRerouteId": 0
-        },
-        "revision": 0,
-        "config": {},
-        "name": "Color Curves",
-        "inputNode": {
-          "id": -10,
-          "bounding": [
-            2660,
-            -4500,
-            120,
-            60
-          ]
-        },
-        "outputNode": {
-          "id": -20,
-          "bounding": [
-            4270,
-            -4500,
-            120,
-            60
-          ]
-        },
-        "inputs": [
-          {
-            "id": "abc345b7-f55e-4f32-a11d-3aa4c2b0936b",
-            "name": "images.image0",
-            "type": "IMAGE",
-            "linkIds": [
-              29,
-              34
-            ],
-            "localized_name": "images.image0",
-            "label": "image",
-            "pos": [
-              2760,
-              -4480
-            ]
-          }
-        ],
-        "outputs": [
-          {
-            "id": "eb0ec079-46da-4408-8263-9ef85569d33d",
-            "name": "IMAGE0",
-            "type": "IMAGE",
-            "linkIds": [
-              28
-            ],
-            "localized_name": "IMAGE0",
-            "label": "IMAGE",
-            "pos": [
-              4290,
-              -4480
-            ]
-          }
-        ],
-        "widgets": [],
-        "nodes": [
-          {
-            "id": 4,
-            "type": "CurveEditor",
-            "pos": [
-              3060,
-              -4500
-            ],
-            "size": [
-              270,
-              200
-            ],
-            "flags": {},
-            "order": 0,
-            "mode": 0,
-            "inputs": [
-              {
-                "label": "curve",
-                "localized_name": "curve",
-                "name": "curve",
-                "type": "CURVE",
-                "widget": {
-                  "name": "curve"
-                },
-                "link": null
-              },
-              {
-                "label": "histogram",
-                "localized_name": "histogram",
-                "name": "histogram",
-                "type": "HISTOGRAM",
-                "shape": 7,
-                "link": 35
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "CURVE",
-                "name": "CURVE",
-                "type": "CURVE",
-                "links": [
-                  30
-                ]
-              }
-            ],
-            "title": "RGB Master",
-            "properties": {
-              "Node name for S&R": "CurveEditor"
-            },
-            "widgets_values": []
-          },
-          {
-            "id": 5,
-            "type": "CurveEditor",
-            "pos": [
-              3060,
-              -4250
-            ],
-            "size": [
-              270,
-              200
-            ],
-            "flags": {},
-            "order": 1,
-            "mode": 0,
-            "inputs": [
-              {
-                "label": "curve",
-                "localized_name": "curve",
-                "name": "curve",
-                "type": "CURVE",
-                "widget": {
-                  "name": "curve"
-                },
-                "link": null
-              },
-              {
-                "label": "histogram",
-                "localized_name": "histogram",
-                "name": "histogram",
-                "type": "HISTOGRAM",
-                "shape": 7,
-                "link": 36
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "CURVE",
-                "name": "CURVE",
-                "type": "CURVE",
-                "links": [
-                  31
-                ]
-              }
-            ],
-            "title": "Red",
-            "properties": {
-              "Node name for S&R": "CurveEditor"
-            },
-            "widgets_values": []
-          },
-          {
-            "id": 6,
-            "type": "CurveEditor",
-            "pos": [
-              3060,
-              -4000
-            ],
-            "size": [
-              270,
-              200
-            ],
-            "flags": {},
-            "order": 2,
-            "mode": 0,
-            "inputs": [
-              {
-                "label": "curve",
-                "localized_name": "curve",
-                "name": "curve",
-                "type": "CURVE",
-                "widget": {
-                  "name": "curve"
-                },
-                "link": null
-              },
-              {
-                "label": "histogram",
-                "localized_name": "histogram",
-                "name": "histogram",
-                "type": "HISTOGRAM",
-                "shape": 7,
-                "link": 37
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "CURVE",
-                "name": "CURVE",
-                "type": "CURVE",
-                "links": [
-                  32
-                ]
-              }
-            ],
-            "title": "Green",
-            "properties": {
-              "Node name for S&R": "CurveEditor"
-            },
-            "widgets_values": []
-          },
-          {
-            "id": 7,
-            "type": "CurveEditor",
-            "pos": [
-              3060,
-              -3750
-            ],
-            "size": [
-              270,
-              200
-            ],
-            "flags": {},
-            "order": 3,
-            "mode": 0,
-            "inputs": [
-              {
-                "label": "curve",
-                "localized_name": "curve",
-                "name": "curve",
-                "type": "CURVE",
-                "widget": {
-                  "name": "curve"
-                },
-                "link": null
-              },
-              {
-                "label": "histogram",
-                "localized_name": "histogram",
-                "name": "histogram",
-                "type": "HISTOGRAM",
-                "shape": 7,
-                "link": 38
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "CURVE",
-                "name": "CURVE",
-                "type": "CURVE",
-                "links": [
-                  33
-                ]
-              }
-            ],
-            "title": "Blue",
-            "properties": {
-              "Node name for S&R": "CurveEditor"
-            },
-            "widgets_values": []
-          },
-          {
-            "id": 8,
-            "type": "GLSLShader",
-            "pos": [
-              3590,
-              -4500
-            ],
-            "size": [
-              420,
-              500
-            ],
-            "flags": {},
-            "order": 4,
-            "mode": 0,
-            "inputs": [
-              {
-                "label": "image0",
-                "localized_name": "images.image0",
-                "name": "images.image0",
-                "type": "IMAGE",
-                "link": 29
-              },
-              {
-                "label": "image1",
-                "localized_name": "images.image1",
-                "name": "images.image1",
-                "shape": 7,
-                "type": "IMAGE",
-                "link": null
-              },
-              {
-                "label": "u_curve0",
-                "localized_name": "curves.u_curve0",
-                "name": "curves.u_curve0",
-                "shape": 7,
-                "type": "CURVE",
-                "link": 30
-              },
-              {
-                "label": "u_curve1",
-                "localized_name": "curves.u_curve1",
-                "name": "curves.u_curve1",
-                "shape": 7,
-                "type": "CURVE",
-                "link": 31
-              },
-              {
-                "label": "u_curve2",
-                "localized_name": "curves.u_curve2",
-                "name": "curves.u_curve2",
-                "shape": 7,
-                "type": "CURVE",
-                "link": 32
-              },
-              {
-                "label": "u_curve3",
-                "localized_name": "curves.u_curve3",
-                "name": "curves.u_curve3",
-                "shape": 7,
-                "type": "CURVE",
-                "link": 33
-              },
-              {
-                "localized_name": "fragment_shader",
-                "name": "fragment_shader",
-                "type": "STRING",
-                "widget": {
-                  "name": "fragment_shader"
-                },
-                "link": null
-              },
-              {
-                "localized_name": "size_mode",
-                "name": "size_mode",
-                "type": "COMFY_DYNAMICCOMBO_V3",
-                "widget": {
-                  "name": "size_mode"
-                },
-                "link": null
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "IMAGE0",
-                "name": "IMAGE0",
-                "type": "IMAGE",
-                "links": [
-                  28
-                ]
-              },
-              {
-                "localized_name": "IMAGE1",
-                "name": "IMAGE1",
-                "type": "IMAGE",
-                "links": null
-              },
-              {
-                "localized_name": "IMAGE2",
-                "name": "IMAGE2",
-                "type": "IMAGE",
-                "links": null
-              },
-              {
-                "localized_name": "IMAGE3",
-                "name": "IMAGE3",
-                "type": "IMAGE",
-                "links": null
-              }
-            ],
-            "properties": {
-              "Node name for S&R": "GLSLShader"
-            },
-            "widgets_values": [
-              "#version 300 es\nprecision highp float;\n\nuniform sampler2D u_image0;\nuniform sampler2D u_curve0;  // RGB master curve (256x1 LUT)\nuniform sampler2D u_curve1;  // Red channel curve\nuniform sampler2D u_curve2;  // Green channel curve\nuniform sampler2D u_curve3;  // Blue channel curve\n\nin vec2 v_texCoord;\nlayout(location = 0) out vec4 fragColor0;\n\n// GIMP-compatible curve lookup with manual linear interpolation.\n// Matches gimp_curve_map_value_inline() from gimpcurve-map.c:\n//   index = value * (n_samples - 1)\n//   f = fract(index)\n//   result = (1-f) * samples[floor] + f * samples[ceil]\n//\n// Uses texelFetch (NEAREST) to avoid GPU half-texel offset issues\n// that occur with texture() + GL_LINEAR on small 256x1 LUTs.\nfloat applyCurve(sampler2D curve, float value) {\n    value = clamp(value, 0.0, 1.0);\n\n    float pos = value * 255.0;\n    int lo = int(floor(pos));\n    int hi = min(lo + 1, 255);\n    float f = pos - float(lo);\n\n    float a = texelFetch(curve, ivec2(lo, 0), 0).r;\n    float b = texelFetch(curve, ivec2(hi, 0), 0).r;\n\n    return a + f * (b - a);\n}\n\nvoid main() {\n    vec4 color = texture(u_image0, v_texCoord);\n\n    // GIMP order: per-channel curves first, then RGB master curve.\n    // See gimp_curve_map_pixels() default case in gimpcurve-map.c:\n    //   dest = colors_curve( channel_curve( src ) )\n    float tmp_r = applyCurve(u_curve1, color.r);\n    float tmp_g = applyCurve(u_curve2, color.g);\n    float tmp_b = applyCurve(u_curve3, color.b);\n    color.r = applyCurve(u_curve0, tmp_r);\n    color.g = applyCurve(u_curve0, tmp_g);\n    color.b = applyCurve(u_curve0, tmp_b);\n\n    fragColor0 = vec4(color.rgb, color.a);\n}\n",
-              "from_input"
-            ]
-          },
-          {
-            "id": 9,
-            "type": "ImageHistogram",
-            "pos": [
-              2800,
-              -4300
-            ],
-            "size": [
-              210,
-              150
-            ],
-            "flags": {},
-            "order": 5,
-            "mode": 0,
-            "inputs": [
-              {
-                "label": "image",
-                "localized_name": "image",
-                "name": "image",
-                "type": "IMAGE",
-                "link": 34
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "HISTOGRAM",
-                "name": "rgb",
-                "type": "HISTOGRAM",
-                "links": [
-                  35
-                ]
-              },
-              {
-                "localized_name": "HISTOGRAM",
-                "name": "luminance",
-                "type": "HISTOGRAM",
-                "links": []
-              },
-              {
-                "localized_name": "HISTOGRAM",
-                "name": "red",
-                "type": "HISTOGRAM",
-                "links": [
-                  36
-                ]
-              },
-              {
-                "localized_name": "HISTOGRAM",
-                "name": "green",
-                "type": "HISTOGRAM",
-                "links": [
-                  37
-                ]
-              },
-              {
-                "localized_name": "HISTOGRAM",
-                "name": "blue",
-                "type": "HISTOGRAM",
-                "links": [
-                  38
-                ]
-              }
-            ],
-            "properties": {
-              "Node name for S&R": "ImageHistogram"
-            },
-            "widgets_values": []
-          }
-        ],
-        "groups": [],
-        "links": [
-          {
-            "id": 29,
-            "origin_id": -10,
-            "origin_slot": 0,
-            "target_id": 8,
-            "target_slot": 0,
-            "type": "IMAGE"
-          },
-          {
-            "id": 28,
-            "origin_id": 8,
-            "origin_slot": 0,
-            "target_id": -20,
-            "target_slot": 0,
-            "type": "IMAGE"
-          },
-          {
-            "id": 30,
-            "origin_id": 4,
-            "origin_slot": 0,
-            "target_id": 8,
-            "target_slot": 2,
-            "type": "CURVE"
-          },
-          {
-            "id": 31,
-            "origin_id": 5,
-            "origin_slot": 0,
-            "target_id": 8,
-            "target_slot": 3,
-            "type": "CURVE"
-          },
-          {
-            "id": 32,
-            "origin_id": 6,
-            "origin_slot": 0,
-            "target_id": 8,
-            "target_slot": 4,
-            "type": "CURVE"
-          },
-          {
-            "id": 33,
-            "origin_id": 7,
-            "origin_slot": 0,
-            "target_id": 8,
-            "target_slot": 5,
-            "type": "CURVE"
-          },
-          {
-            "id": 34,
-            "origin_id": -10,
-            "origin_slot": 0,
-            "target_id": 9,
-            "target_slot": 0,
-            "type": "IMAGE"
-          },
-          {
-            "id": 35,
-            "origin_id": 9,
-            "origin_slot": 0,
-            "target_id": 4,
-            "target_slot": 1,
-            "type": "HISTOGRAM"
-          },
-          {
-            "id": 36,
-            "origin_id": 9,
-            "origin_slot": 2,
-            "target_id": 5,
-            "target_slot": 1,
-            "type": "HISTOGRAM"
-          },
-          {
-            "id": 37,
-            "origin_id": 9,
-            "origin_slot": 3,
-            "target_id": 6,
-            "target_slot": 1,
-            "type": "HISTOGRAM"
-          },
-          {
-            "id": 38,
-            "origin_id": 9,
-            "origin_slot": 4,
-            "target_id": 7,
-            "target_slot": 1,
-            "type": "HISTOGRAM"
-          }
-        ],
-        "extra": {
-          "workflowRendererVersion": "LG"
-        },
-        "category": "Image Tools/Color adjust",
-        "description": "Fine-tunes tone and color with per-channel curve adjustments using a real-time GPU fragment shader."
-      }
-    ]
-  }
-}

blueprints/Frame Interpolation.json

@@ -1,858 +0,0 @@
-{
-  "revision": 0,
-  "last_node_id": 16,
-  "last_link_id": 0,
-  "nodes": [
-    {
-      "id": 16,
-      "type": "022693be-2baa-4009-870a-28921508a7ef",
-      "pos": [
-        -2990,
-        -3240
-      ],
-      "size": [
-        410,
-        200
-      ],
-      "flags": {},
-      "order": 2,
-      "mode": 0,
-      "inputs": [
-        {
-          "localized_name": "video",
-          "name": "video",
-          "type": "VIDEO",
-          "link": null
-        },
-        {
-          "label": "multiplier",
-          "name": "value",
-          "type": "INT",
-          "widget": {
-            "name": "value"
-          },
-          "link": null
-        },
-        {
-          "label": "enable_fps_multiplier",
-          "name": "value_1",
-          "type": "BOOLEAN",
-          "widget": {
-            "name": "value_1"
-          },
-          "link": null
-        },
-        {
-          "name": "model_name",
-          "type": "COMBO",
-          "widget": {
-            "name": "model_name"
-          },
-          "link": null
-        }
-      ],
-      "outputs": [
-        {
-          "label": "VIDEO",
-          "name": "VIDEO_1",
-          "type": "VIDEO",
-          "links": []
-        },
-        {
-          "name": "IMAGE",
-          "type": "IMAGE",
-          "links": null
-        }
-      ],
-      "properties": {
-        "proxyWidgets": [
-          [
-            "9",
-            "value"
-          ],
-          [
-            "13",
-            "value"
-          ],
-          [
-            "1",
-            "model_name"
-          ]
-        ],
-        "enableTabs": false,
-        "tabWidth": 65,
-        "tabXOffset": 10,
-        "hasSecondTab": false,
-        "secondTabText": "Send Back",
-        "secondTabOffset": 80,
-        "secondTabWidth": 65,
-        "cnr_id": "comfy-core",
-        "ver": "0.19.3"
-      },
-      "widgets_values": [],
-      "title": "Frame Interpolation"
-    }
-  ],
-  "links": [],
-  "version": 0.4,
-  "definitions": {
-    "subgraphs": [
-      {
-        "id": "022693be-2baa-4009-870a-28921508a7ef",
-        "version": 1,
-        "state": {
-          "lastGroupId": 0,
-          "lastNodeId": 17,
-          "lastLinkId": 28,
-          "lastRerouteId": 0
-        },
-        "revision": 0,
-        "config": {},
-        "name": "Frame Interpolation",
-        "inputNode": {
-          "id": -10,
-          "bounding": [
-            -2810,
-            -3070,
-            159.7421875,
-            120
-          ]
-        },
-        "outputNode": {
-          "id": -20,
-          "bounding": [
-            -1270,
-            -3075,
-            120,
-            80
-          ]
-        },
-        "inputs": [
-          {
-            "id": "05e31c51-dcb6-4a1e-9651-1b9ad4f7a287",
-            "name": "video",
-            "type": "VIDEO",
-            "linkIds": [
-              2
-            ],
-            "localized_name": "video",
-            "pos": [
-              -2670.2578125,
-              -3050
-            ]
-          },
-          {
-            "id": "feecb409-7d1c-4a99-9c63-50c5fecdd3c9",
-            "name": "value",
-            "type": "INT",
-            "linkIds": [
-              22
-            ],
-            "label": "multiplier",
-            "pos": [
-              -2670.2578125,
-              -3030
-            ]
-          },
-          {
-            "id": "0b8a861b-b581-4068-9e8c-f8d15daf1ca6",
-            "name": "value_1",
-            "type": "BOOLEAN",
-            "linkIds": [
-              23
-            ],
-            "label": "enable_fps_multiplier",
-            "pos": [
-              -2670.2578125,
-              -3010
-            ]
-          },
-          {
-            "id": "a22b101e-8773-4e17-a297-7ee3aae09162",
-            "name": "model_name",
-            "type": "COMBO",
-            "linkIds": [
-              24
-            ],
-            "pos": [
-              -2670.2578125,
-              -2990
-            ]
-          }
-        ],
-        "outputs": [
-          {
-            "id": "ef2ada05-d5aa-492a-9394-6c3e71e39ebb",
-            "name": "VIDEO_1",
-            "type": "VIDEO",
-            "linkIds": [
-              26
-            ],
-            "label": "VIDEO",
-            "pos": [
-              -1250,
-              -3055
-            ]
-          },
-          {
-            "id": "5aacc622-2a07-4983-b31c-e04461f7f953",
-            "name": "IMAGE",
-            "type": "IMAGE",
-            "linkIds": [
-              28
-            ],
-            "pos": [
-              -1250,
-              -3035
-            ]
-          }
-        ],
-        "widgets": [],
-        "nodes": [
-          {
-            "id": 1,
-            "type": "FrameInterpolationModelLoader",
-            "pos": [
-              -2510,
-              -3370
-            ],
-            "size": [
-              370,
-              90
-            ],
-            "flags": {},
-            "order": 0,
-            "mode": 0,
-            "inputs": [
-              {
-                "localized_name": "model_name",
-                "name": "model_name",
-                "type": "COMBO",
-                "widget": {
-                  "name": "model_name"
-                },
-                "link": 24
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "INTERP_MODEL",
-                "name": "INTERP_MODEL",
-                "type": "INTERP_MODEL",
-                "links": [
-                  1
-                ]
-              }
-            ],
-            "properties": {
-              "Node name for S&R": "FrameInterpolationModelLoader",
-              "enableTabs": false,
-              "tabWidth": 65,
-              "tabXOffset": 10,
-              "hasSecondTab": false,
-              "secondTabText": "Send Back",
-              "secondTabOffset": 80,
-              "secondTabWidth": 65,
-              "cnr_id": "comfy-core",
-              "ver": "0.19.3",
-              "models": [
-                {
-                  "name": "film_net_fp16.safetensors",
-                  "url": "https://huggingface.co/Comfy-Org/frame_interpolation/resolve/main/frame_interpolation/film_net_fp16.safetensors",
-                  "directory": "frame_interpolation"
-                }
-              ]
-            },
-            "widgets_values": [
-              "film_net_fp16.safetensors"
-            ]
-          },
-          {
-            "id": 2,
-            "type": "FrameInterpolate",
-            "pos": [
-              -2040,
-              -3370
-            ],
-            "size": [
-              270,
-              110
-            ],
-            "flags": {},
-            "order": 1,
-            "mode": 0,
-            "inputs": [
-              {
-                "localized_name": "interp_model",
-                "name": "interp_model",
-                "type": "INTERP_MODEL",
-                "link": 1
-              },
-              {
-                "localized_name": "images",
-                "name": "images",
-                "type": "IMAGE",
-                "link": 3
-              },
-              {
-                "localized_name": "multiplier",
-                "name": "multiplier",
-                "type": "INT",
-                "widget": {
-                  "name": "multiplier"
-                },
-                "link": 8
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "IMAGE",
-                "name": "IMAGE",
-                "type": "IMAGE",
-                "links": [
-                  4,
-                  28
-                ]
-              }
-            ],
-            "properties": {
-              "Node name for S&R": "FrameInterpolate",
-              "enableTabs": false,
-              "tabWidth": 65,
-              "tabXOffset": 10,
-              "hasSecondTab": false,
-              "secondTabText": "Send Back",
-              "secondTabOffset": 80,
-              "secondTabWidth": 65,
-              "cnr_id": "comfy-core",
-              "ver": "0.19.3"
-            },
-            "widgets_values": [
-              2
-            ]
-          },
-          {
-            "id": 5,
-            "type": "CreateVideo",
-            "pos": [
-              -1600,
-              -3370
-            ],
-            "size": [
-              270,
-              110
-            ],
-            "flags": {},
-            "order": 3,
-            "mode": 0,
-            "inputs": [
-              {
-                "localized_name": "images",
-                "name": "images",
-                "type": "IMAGE",
-                "link": 4
-              },
-              {
-                "localized_name": "audio",
-                "name": "audio",
-                "shape": 7,
-                "type": "AUDIO",
-                "link": 5
-              },
-              {
-                "localized_name": "fps",
-                "name": "fps",
-                "type": "FLOAT",
-                "widget": {
-                  "name": "fps"
-                },
-                "link": 12
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "VIDEO",
-                "name": "VIDEO",
-                "type": "VIDEO",
-                "links": [
-                  26
-                ]
-              }
-            ],
-            "properties": {
-              "Node name for S&R": "CreateVideo",
-              "enableTabs": false,
-              "tabWidth": 65,
-              "tabXOffset": 10,
-              "hasSecondTab": false,
-              "secondTabText": "Send Back",
-              "secondTabOffset": 80,
-              "secondTabWidth": 65,
-              "cnr_id": "comfy-core",
-              "ver": "0.19.3"
-            },
-            "widgets_values": [
-              30
-            ]
-          },
-          {
-            "id": 9,
-            "type": "PrimitiveInt",
-            "pos": [
-              -2500,
-              -2970
-            ],
-            "size": [
-              270,
-              90
-            ],
-            "flags": {},
-            "order": 4,
-            "mode": 0,
-            "inputs": [
-              {
-                "localized_name": "value",
-                "name": "value",
-                "type": "INT",
-                "widget": {
-                  "name": "value"
-                },
-                "link": 22
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "INT",
-                "name": "INT",
-                "type": "INT",
-                "links": [
-                  8,
-                  19
-                ]
-              }
-            ],
-            "title": "Int (Multiplier)",
-            "properties": {
-              "Node name for S&R": "PrimitiveInt",
-              "enableTabs": false,
-              "tabWidth": 65,
-              "tabXOffset": 10,
-              "hasSecondTab": false,
-              "secondTabText": "Send Back",
-              "secondTabOffset": 80,
-              "secondTabWidth": 65,
-              "cnr_id": "comfy-core",
-              "ver": "0.19.3"
-            },
-            "widgets_values": [
-              2,
-              "fixed"
-            ]
-          },
-          {
-            "id": 10,
-            "type": "ComfySwitchNode",
-            "pos": [
-              -1610,
-              -3120
-            ],
-            "size": [
-              270,
-              130
-            ],
-            "flags": {},
-            "order": 5,
-            "mode": 0,
-            "inputs": [
-              {
-                "localized_name": "on_false",
-                "name": "on_false",
-                "type": "*",
-                "link": 11
-              },
-              {
-                "localized_name": "on_true",
-                "name": "on_true",
-                "type": "*",
-                "link": 13
-              },
-              {
-                "localized_name": "switch",
-                "name": "switch",
-                "type": "BOOLEAN",
-                "widget": {
-                  "name": "switch"
-                },
-                "link": 15
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "output",
-                "name": "output",
-                "type": "*",
-                "links": [
-                  12
-                ]
-              }
-            ],
-            "properties": {
-              "Node name for S&R": "ComfySwitchNode",
-              "enableTabs": false,
-              "tabWidth": 65,
-              "tabXOffset": 10,
-              "hasSecondTab": false,
-              "secondTabText": "Send Back",
-              "secondTabOffset": 80,
-              "secondTabWidth": 65,
-              "cnr_id": "comfy-core",
-              "ver": "0.19.3"
-            },
-            "widgets_values": [
-              true
-            ]
-          },
-          {
-            "id": 13,
-            "type": "PrimitiveBoolean",
-            "pos": [
-              -2500,
-              -2770
-            ],
-            "size": [
-              310,
-              90
-            ],
-            "flags": {},
-            "order": 7,
-            "mode": 0,
-            "inputs": [
-              {
-                "localized_name": "value",
-                "name": "value",
-                "type": "BOOLEAN",
-                "widget": {
-                  "name": "value"
-                },
-                "link": 23
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "BOOLEAN",
-                "name": "BOOLEAN",
-                "type": "BOOLEAN",
-                "links": [
-                  15
-                ]
-              }
-            ],
-            "title": "Boolean (Apply multiplier to FPS?)",
-            "properties": {
-              "Node name for S&R": "PrimitiveBoolean",
-              "enableTabs": false,
-              "tabWidth": 65,
-              "tabXOffset": 10,
-              "hasSecondTab": false,
-              "secondTabText": "Send Back",
-              "secondTabOffset": 80,
-              "secondTabWidth": 65,
-              "cnr_id": "comfy-core",
-              "ver": "0.19.3"
-            },
-            "widgets_values": [
-              true
-            ]
-          },
-          {
-            "id": 3,
-            "type": "GetVideoComponents",
-            "pos": [
-              -2500,
-              -3170
-            ],
-            "size": [
-              230,
-              100
-            ],
-            "flags": {},
-            "order": 2,
-            "mode": 0,
-            "inputs": [
-              {
-                "localized_name": "video",
-                "name": "video",
-                "type": "VIDEO",
-                "link": 2
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "images",
-                "name": "images",
-                "type": "IMAGE",
-                "links": [
-                  3
-                ]
-              },
-              {
-                "localized_name": "audio",
-                "name": "audio",
-                "type": "AUDIO",
-                "links": [
-                  5
-                ]
-              },
-              {
-                "localized_name": "fps",
-                "name": "fps",
-                "type": "FLOAT",
-                "links": [
-                  11,
-                  18
-                ]
-              }
-            ],
-            "properties": {
-              "Node name for S&R": "GetVideoComponents",
-              "enableTabs": false,
-              "tabWidth": 65,
-              "tabXOffset": 10,
-              "hasSecondTab": false,
-              "secondTabText": "Send Back",
-              "secondTabOffset": 80,
-              "secondTabWidth": 65,
-              "cnr_id": "comfy-core",
-              "ver": "0.19.3"
-            }
-          },
-          {
-            "id": 11,
-            "type": "ComfyMathExpression",
-            "pos": [
-              -2090,
-              -3070
-            ],
-            "size": [
-              400,
-              210
-            ],
-            "flags": {
-              "collapsed": false
-            },
-            "order": 6,
-            "mode": 0,
-            "inputs": [
-              {
-                "label": "a",
-                "localized_name": "values.a",
-                "name": "values.a",
-                "type": "FLOAT,INT",
-                "link": 18
-              },
-              {
-                "label": "b",
-                "localized_name": "values.b",
-                "name": "values.b",
-                "shape": 7,
-                "type": "FLOAT,INT",
-                "link": 19
-              },
-              {
-                "label": "c",
-                "localized_name": "values.c",
-                "name": "values.c",
-                "shape": 7,
-                "type": "FLOAT,INT",
-                "link": null
-              },
-              {
-                "localized_name": "expression",
-                "name": "expression",
-                "type": "STRING",
-                "widget": {
-                  "name": "expression"
-                },
-                "link": null
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "FLOAT",
-                "name": "FLOAT",
-                "type": "FLOAT",
-                "links": [
-                  13
-                ]
-              },
-              {
-                "localized_name": "INT",
-                "name": "INT",
-                "type": "INT",
-                "links": null
-              }
-            ],
-            "properties": {
-              "Node name for S&R": "ComfyMathExpression",
-              "enableTabs": false,
-              "tabWidth": 65,
-              "tabXOffset": 10,
-              "hasSecondTab": false,
-              "secondTabText": "Send Back",
-              "secondTabOffset": 80,
-              "secondTabWidth": 65,
-              "cnr_id": "comfy-core",
-              "ver": "0.19.3"
-            },
-            "widgets_values": [
-              "min(abs(b), 16) * a"
-            ]
-          }
-        ],
-        "groups": [],
-        "links": [
-          {
-            "id": 1,
-            "origin_id": 1,
-            "origin_slot": 0,
-            "target_id": 2,
-            "target_slot": 0,
-            "type": "INTERP_MODEL"
-          },
-          {
-            "id": 3,
-            "origin_id": 3,
-            "origin_slot": 0,
-            "target_id": 2,
-            "target_slot": 1,
-            "type": "IMAGE"
-          },
-          {
-            "id": 8,
-            "origin_id": 9,
-            "origin_slot": 0,
-            "target_id": 2,
-            "target_slot": 2,
-            "type": "INT"
-          },
-          {
-            "id": 4,
-            "origin_id": 2,
-            "origin_slot": 0,
-            "target_id": 5,
-            "target_slot": 0,
-            "type": "IMAGE"
-          },
-          {
-            "id": 5,
-            "origin_id": 3,
-            "origin_slot": 1,
-            "target_id": 5,
-            "target_slot": 1,
-            "type": "AUDIO"
-          },
-          {
-            "id": 12,
-            "origin_id": 10,
-            "origin_slot": 0,
-            "target_id": 5,
-            "target_slot": 2,
-            "type": "FLOAT"
-          },
-          {
-            "id": 11,
-            "origin_id": 3,
-            "origin_slot": 2,
-            "target_id": 10,
-            "target_slot": 0,
-            "type": "FLOAT"
-          },
-          {
-            "id": 13,
-            "origin_id": 11,
-            "origin_slot": 0,
-            "target_id": 10,
-            "target_slot": 1,
-            "type": "FLOAT"
-          },
-          {
-            "id": 15,
-            "origin_id": 13,
-            "origin_slot": 0,
-            "target_id": 10,
-            "target_slot": 2,
-            "type": "BOOLEAN"
-          },
-          {
-            "id": 18,
-            "origin_id": 3,
-            "origin_slot": 2,
-            "target_id": 11,
-            "target_slot": 0,
-            "type": "FLOAT"
-          },
-          {
-            "id": 19,
-            "origin_id": 9,
-            "origin_slot": 0,
-            "target_id": 11,
-            "target_slot": 1,
-            "type": "INT"
-          },
-          {
-            "id": 2,
-            "origin_id": -10,
-            "origin_slot": 0,
-            "target_id": 3,
-            "target_slot": 0,
-            "type": "VIDEO"
-          },
-          {
-            "id": 22,
-            "origin_id": -10,
-            "origin_slot": 1,
-            "target_id": 9,
-            "target_slot": 0,
-            "type": "INT"
-          },
-          {
-            "id": 23,
-            "origin_id": -10,
-            "origin_slot": 2,
-            "target_id": 13,
-            "target_slot": 0,
-            "type": "BOOLEAN"
-          },
-          {
-            "id": 24,
-            "origin_id": -10,
-            "origin_slot": 3,
-            "target_id": 1,
-            "target_slot": 0,
-            "type": "COMBO"
-          },
-          {
-            "id": 26,
-            "origin_id": 5,
-            "origin_slot": 0,
-            "target_id": -20,
-            "target_slot": 0,
-            "type": "VIDEO"
-          },
-          {
-            "id": 28,
-            "origin_id": 2,
-            "origin_slot": 0,
-            "target_id": -20,
-            "target_slot": 1,
-            "type": "IMAGE"
-          }
-        ],
-        "extra": {},
-        "category": "Video Tools",
-        "description": "Increases video frame rate by synthesizing intermediate frames with a frame interpolation model."
-      }
-    ]
-  },
-  "extra": {}
-}

blueprints/Get Any Video Frame.json

@@ -1,485 +0,0 @@
-{
-  "revision": 0,
-  "last_node_id": 98,
-  "last_link_id": 0,
-  "nodes": [
-    {
-      "id": 98,
-      "type": "dca6e78d-fb06-421e-97f7-6ce17a665260",
-      "pos": [
-        -410,
-        -2230
-      ],
-      "size": [
-        270,
-        104
-      ],
-      "flags": {},
-      "order": 7,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "video",
-          "type": "VIDEO",
-          "link": null
-        },
-        {
-          "label": "frame_index",
-          "name": "value",
-          "type": "INT",
-          "widget": {
-            "name": "value"
-          },
-          "link": null
-        }
-      ],
-      "outputs": [
-        {
-          "name": "IMAGE",
-          "type": "IMAGE",
-          "links": []
-        }
-      ],
-      "title": "Get Any Video Frame",
-      "properties": {
-        "proxyWidgets": [
-          [
-            "100",
-            "value"
-          ]
-        ]
-      },
-      "widgets_values": []
-    }
-  ],
-  "links": [],
-  "version": 0.4,
-  "definitions": {
-    "subgraphs": [
-      {
-        "id": "dca6e78d-fb06-421e-97f7-6ce17a665260",
-        "version": 1,
-        "state": {
-          "lastGroupId": 1,
-          "lastNodeId": 136,
-          "lastLinkId": 302,
-          "lastRerouteId": 0
-        },
-        "revision": 0,
-        "config": {},
-        "name": "Get Any Video Frame",
-        "inputNode": {
-          "id": -10,
-          "bounding": [
-            380,
-            -57,
-            120,
-            80
-          ]
-        },
-        "outputNode": {
-          "id": -20,
-          "bounding": [
-            1460,
-            -57,
-            120,
-            60
-          ]
-        },
-        "inputs": [
-          {
-            "id": "2ceec378-8dcf-4340-8570-155967f59a93",
-            "name": "video",
-            "type": "VIDEO",
-            "linkIds": [
-              4
-            ],
-            "pos": [
-              480,
-              -37
-            ]
-          },
-          {
-            "id": "819955f6-c686-4896-8032-ff2d0059109a",
-            "name": "value",
-            "type": "INT",
-            "linkIds": [
-              283
-            ],
-            "label": "frame_index",
-            "pos": [
-              480,
-              -17
-            ]
-          }
-        ],
-        "outputs": [
-          {
-            "id": "1ab0684d-6a44-45b6-8aa4-a0b971a1d41e",
-            "name": "IMAGE",
-            "type": "IMAGE",
-            "linkIds": [
-              5
-            ],
-            "pos": [
-              1480,
-              -37
-            ]
-          }
-        ],
-        "widgets": [],
-        "nodes": [
-          {
-            "id": 1,
-            "type": "GetVideoComponents",
-            "pos": [
-              560,
-              -150
-            ],
-            "size": [
-              230,
-              120
-            ],
-            "flags": {},
-            "order": 0,
-            "mode": 0,
-            "inputs": [
-              {
-                "localized_name": "video",
-                "name": "video",
-                "type": "VIDEO",
-                "link": 4
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "images",
-                "name": "images",
-                "type": "IMAGE",
-                "links": [
-                  1,
-                  2
-                ]
-              },
-              {
-                "localized_name": "audio",
-                "name": "audio",
-                "type": "AUDIO",
-                "links": null
-              },
-              {
-                "localized_name": "fps",
-                "name": "fps",
-                "type": "FLOAT",
-                "links": null
-              }
-            ],
-            "properties": {
-              "Node name for S&R": "GetVideoComponents"
-            }
-          },
-          {
-            "id": 2,
-            "type": "GetImageSize",
-            "pos": [
-              560,
-              50
-            ],
-            "size": [
-              230,
-              120
-            ],
-            "flags": {},
-            "order": 1,
-            "mode": 0,
-            "inputs": [
-              {
-                "localized_name": "image",
-                "name": "image",
-                "type": "IMAGE",
-                "link": 1
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "width",
-                "name": "width",
-                "type": "INT",
-                "links": null
-              },
-              {
-                "localized_name": "height",
-                "name": "height",
-                "type": "INT",
-                "links": null
-              },
-              {
-                "localized_name": "batch_size",
-                "name": "batch_size",
-                "type": "INT",
-                "links": [
-                  285
-                ]
-              }
-            ],
-            "properties": {
-              "Node name for S&R": "GetImageSize"
-            }
-          },
-          {
-            "id": 3,
-            "type": "ImageFromBatch",
-            "pos": [
-              1130,
-              -150
-            ],
-            "size": [
-              270,
-              140
-            ],
-            "flags": {},
-            "order": 2,
-            "mode": 0,
-            "inputs": [
-              {
-                "localized_name": "image",
-                "name": "image",
-                "type": "IMAGE",
-                "link": 2
-              },
-              {
-                "localized_name": "batch_index",
-                "name": "batch_index",
-                "type": "INT",
-                "widget": {
-                  "name": "batch_index"
-                },
-                "link": 286
-              },
-              {
-                "localized_name": "length",
-                "name": "length",
-                "type": "INT",
-                "widget": {
-                  "name": "length"
-                },
-                "link": null
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "IMAGE",
-                "name": "IMAGE",
-                "type": "IMAGE",
-                "links": [
-                  5
-                ]
-              }
-            ],
-            "properties": {
-              "Node name for S&R": "ImageFromBatch"
-            },
-            "widgets_values": [
-              0,
-              1
-            ]
-          },
-          {
-            "id": 99,
-            "type": "ComfyMathExpression",
-            "pos": [
-              910,
-              100
-            ],
-            "size": [
-              400,
-              200
-            ],
-            "flags": {},
-            "order": 3,
-            "mode": 0,
-            "inputs": [
-              {
-                "label": "a",
-                "localized_name": "values.a",
-                "name": "values.a",
-                "type": "FLOAT,INT",
-                "link": 284
-              },
-              {
-                "label": "b",
-                "localized_name": "values.b",
-                "name": "values.b",
-                "shape": 7,
-                "type": "FLOAT,INT",
-                "link": 285
-              },
-              {
-                "label": "c",
-                "localized_name": "values.c",
-                "name": "values.c",
-                "shape": 7,
-                "type": "FLOAT,INT",
-                "link": null
-              },
-              {
-                "localized_name": "expression",
-                "name": "expression",
-                "type": "STRING",
-                "widget": {
-                  "name": "expression"
-                },
-                "link": null
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "FLOAT",
-                "name": "FLOAT",
-                "type": "FLOAT",
-                "links": null
-              },
-              {
-                "localized_name": "INT",
-                "name": "INT",
-                "type": "INT",
-                "links": [
-                  286
-                ]
-              }
-            ],
-            "properties": {
-              "Node name for S&R": "ComfyMathExpression"
-            },
-            "widgets_values": [
-              "min(max(int(a if a >= 0 else b + a), 0), b - 1)"
-            ]
-          },
-          {
-            "id": 100,
-            "type": "PrimitiveInt",
-            "pos": [
-              560,
-              250
-            ],
-            "size": [
-              270,
-              110
-            ],
-            "flags": {},
-            "order": 4,
-            "mode": 0,
-            "inputs": [
-              {
-                "localized_name": "value",
-                "name": "value",
-                "type": "INT",
-                "widget": {
-                  "name": "value"
-                },
-                "link": 283
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "INT",
-                "name": "INT",
-                "type": "INT",
-                "links": [
-                  284
-                ]
-              }
-            ],
-            "properties": {
-              "Node name for S&R": "PrimitiveInt"
-            },
-            "widgets_values": [
-              0,
-              "fixed"
-            ]
-          }
-        ],
-        "groups": [],
-        "links": [
-          {
-            "id": 1,
-            "origin_id": 1,
-            "origin_slot": 0,
-            "target_id": 2,
-            "target_slot": 0,
-            "type": "IMAGE"
-          },
-          {
-            "id": 2,
-            "origin_id": 1,
-            "origin_slot": 0,
-            "target_id": 3,
-            "target_slot": 0,
-            "type": "IMAGE"
-          },
-          {
-            "id": 4,
-            "origin_id": -10,
-            "origin_slot": 0,
-            "target_id": 1,
-            "target_slot": 0,
-            "type": "VIDEO"
-          },
-          {
-            "id": 5,
-            "origin_id": 3,
-            "origin_slot": 0,
-            "target_id": -20,
-            "target_slot": 0,
-            "type": "IMAGE"
-          },
-          {
-            "id": 283,
-            "origin_id": -10,
-            "origin_slot": 1,
-            "target_id": 100,
-            "target_slot": 0,
-            "type": "INT"
-          },
-          {
-            "id": 284,
-            "origin_id": 100,
-            "origin_slot": 0,
-            "target_id": 99,
-            "target_slot": 0,
-            "type": "INT"
-          },
-          {
-            "id": 285,
-            "origin_id": 2,
-            "origin_slot": 2,
-            "target_id": 99,
-            "target_slot": 1,
-            "type": "INT"
-          },
-          {
-            "id": 286,
-            "origin_id": 99,
-            "origin_slot": 1,
-            "target_id": 3,
-            "target_slot": 1,
-            "type": "INT"
-          }
-        ],
-        "extra": {},
-        "category": "Video Tools",
-        "description": "Extracts one image frame from a video at a chosen index, with optional trim and FPS control."
-      }
-    ]
-  },
-  "extra": {
-    "ds": {
-      "scale": 1.197015527856339,
-      "offset": [
-        -168.76833554248222,
-        540.6638955283997
-      ]
-    },
-    "frontendVersion": "1.42.8"
-  }
-}

blueprints/Image Channels.json

@@ -1,323 +1 @@
-{
-  "revision": 0,
-  "last_node_id": 29,
-  "last_link_id": 0,
-  "nodes": [
-    {
-      "id": 29,
-      "type": "4c9d6ea4-b912-40e5-8766-6793a9758c53",
-      "pos": [
-        1970,
-        -230
-      ],
-      "size": [
-        180,
-        86
-      ],
-      "flags": {},
-      "order": 5,
-      "mode": 0,
-      "inputs": [
-        {
-          "label": "image",
-          "localized_name": "images.image0",
-          "name": "images.image0",
-          "type": "IMAGE",
-          "link": null
-        }
-      ],
-      "outputs": [
-        {
-          "label": "R",
-          "localized_name": "IMAGE0",
-          "name": "IMAGE0",
-          "type": "IMAGE",
-          "links": []
-        },
-        {
-          "label": "G",
-          "localized_name": "IMAGE1",
-          "name": "IMAGE1",
-          "type": "IMAGE",
-          "links": []
-        },
-        {
-          "label": "B",
-          "localized_name": "IMAGE2",
-          "name": "IMAGE2",
-          "type": "IMAGE",
-          "links": []
-        },
-        {
-          "label": "A",
-          "localized_name": "IMAGE3",
-          "name": "IMAGE3",
-          "type": "IMAGE",
-          "links": []
-        }
-      ],
-      "title": "Image Channels",
-      "properties": {
-        "proxyWidgets": []
-      },
-      "widgets_values": []
-    }
-  ],
-  "links": [],
-  "version": 0.4,
-  "definitions": {
-    "subgraphs": [
-      {
-        "id": "4c9d6ea4-b912-40e5-8766-6793a9758c53",
-        "version": 1,
-        "state": {
-          "lastGroupId": 0,
-          "lastNodeId": 28,
-          "lastLinkId": 39,
-          "lastRerouteId": 0
-        },
-        "revision": 0,
-        "config": {},
-        "name": "Image Channels",
-        "inputNode": {
-          "id": -10,
-          "bounding": [
-            1820,
-            -185,
-            120,
-            60
-          ]
-        },
-        "outputNode": {
-          "id": -20,
-          "bounding": [
-            2460,
-            -215,
-            120,
-            120
-          ]
-        },
-        "inputs": [
-          {
-            "id": "3522932b-2d86-4a1f-a02a-cb29f3a9d7fe",
-            "name": "images.image0",
-            "type": "IMAGE",
-            "linkIds": [
-              39
-            ],
-            "localized_name": "images.image0",
-            "label": "image",
-            "pos": [
-              1920,
-              -165
-            ]
-          }
-        ],
-        "outputs": [
-          {
-            "id": "605cb9c3-b065-4d9b-81d2-3ec331889b2b",
-            "name": "IMAGE0",
-            "type": "IMAGE",
-            "linkIds": [
-              26
-            ],
-            "localized_name": "IMAGE0",
-            "label": "R",
-            "pos": [
-              2480,
-              -195
-            ]
-          },
-          {
-            "id": "fb44a77e-0522-43e9-9527-82e7465b3596",
-            "name": "IMAGE1",
-            "type": "IMAGE",
-            "linkIds": [
-              27
-            ],
-            "localized_name": "IMAGE1",
-            "label": "G",
-            "pos": [
-              2480,
-              -175
-            ]
-          },
-          {
-            "id": "81460ee6-0131-402a-874f-6bf3001fc4ff",
-            "name": "IMAGE2",
-            "type": "IMAGE",
-            "linkIds": [
-              28
-            ],
-            "localized_name": "IMAGE2",
-            "label": "B",
-            "pos": [
-              2480,
-              -155
-            ]
-          },
-          {
-            "id": "ae690246-80d4-4951-b1d9-9306d8a77417",
-            "name": "IMAGE3",
-            "type": "IMAGE",
-            "linkIds": [
-              29
-            ],
-            "localized_name": "IMAGE3",
-            "label": "A",
-            "pos": [
-              2480,
-              -135
-            ]
-          }
-        ],
-        "widgets": [],
-        "nodes": [
-          {
-            "id": 23,
-            "type": "GLSLShader",
-            "pos": [
-              2000,
-              -330
-            ],
-            "size": [
-              400,
-              172
-            ],
-            "flags": {},
-            "order": 0,
-            "mode": 0,
-            "inputs": [
-              {
-                "label": "image",
-                "localized_name": "images.image0",
-                "name": "images.image0",
-                "type": "IMAGE",
-                "link": 39
-              },
-              {
-                "localized_name": "fragment_shader",
-                "name": "fragment_shader",
-                "type": "STRING",
-                "widget": {
-                  "name": "fragment_shader"
-                },
-                "link": null
-              },
-              {
-                "localized_name": "size_mode",
-                "name": "size_mode",
-                "type": "COMFY_DYNAMICCOMBO_V3",
-                "widget": {
-                  "name": "size_mode"
-                },
-                "link": null
-              },
-              {
-                "label": "image1",
-                "localized_name": "images.image1",
-                "name": "images.image1",
-                "shape": 7,
-                "type": "IMAGE",
-                "link": null
-              }
-            ],
-            "outputs": [
-              {
-                "label": "R",
-                "localized_name": "IMAGE0",
-                "name": "IMAGE0",
-                "type": "IMAGE",
-                "links": [
-                  26
-                ]
-              },
-              {
-                "label": "G",
-                "localized_name": "IMAGE1",
-                "name": "IMAGE1",
-                "type": "IMAGE",
-                "links": [
-                  27
-                ]
-              },
-              {
-                "label": "B",
-                "localized_name": "IMAGE2",
-                "name": "IMAGE2",
-                "type": "IMAGE",
-                "links": [
-                  28
-                ]
-              },
-              {
-                "label": "A",
-                "localized_name": "IMAGE3",
-                "name": "IMAGE3",
-                "type": "IMAGE",
-                "links": [
-                  29
-                ]
-              }
-            ],
-            "properties": {
-              "Node name for S&R": "GLSLShader"
-            },
-            "widgets_values": [
-              "#version 300 es\nprecision highp float;\n\nuniform sampler2D u_image0;\n\nin vec2 v_texCoord;\nlayout(location = 0) out vec4 fragColor0;\nlayout(location = 1) out vec4 fragColor1;\nlayout(location = 2) out vec4 fragColor2;\nlayout(location = 3) out vec4 fragColor3;\n\nvoid main() {\n  vec4 color = texture(u_image0, v_texCoord);\n  // Output each channel as grayscale to separate render targets\n  fragColor0 = vec4(vec3(color.r), 1.0);  // Red channel\n  fragColor1 = vec4(vec3(color.g), 1.0);  // Green channel\n  fragColor2 = vec4(vec3(color.b), 1.0);  // Blue channel\n  fragColor3 = vec4(vec3(color.a), 1.0);  // Alpha channel\n}\n",
-              "from_input"
-            ]
-          }
-        ],
-        "groups": [],
-        "links": [
-          {
-            "id": 39,
-            "origin_id": -10,
-            "origin_slot": 0,
-            "target_id": 23,
-            "target_slot": 0,
-            "type": "IMAGE"
-          },
-          {
-            "id": 26,
-            "origin_id": 23,
-            "origin_slot": 0,
-            "target_id": -20,
-            "target_slot": 0,
-            "type": "IMAGE"
-          },
-          {
-            "id": 27,
-            "origin_id": 23,
-            "origin_slot": 1,
-            "target_id": -20,
-            "target_slot": 1,
-            "type": "IMAGE"
-          },
-          {
-            "id": 28,
-            "origin_id": 23,
-            "origin_slot": 2,
-            "target_id": -20,
-            "target_slot": 2,
-            "type": "IMAGE"
-          },
-          {
-            "id": 29,
-            "origin_id": 23,
-            "origin_slot": 3,
-            "target_id": -20,
-            "target_slot": 3,
-            "type": "IMAGE"
-          }
-        ],
-        "extra": {
-          "workflowRendererVersion": "LG"
-        },
-        "category": "Image Tools/Color adjust",
-        "description": "Manipulates individual RGBA channels for masking, compositing, and channel effects."
-      }
-    ]
-  }
-}
+{"revision": 0, "last_node_id": 29, "last_link_id": 0, "nodes": [{"id": 29, "type": "4c9d6ea4-b912-40e5-8766-6793a9758c53", "pos": [1970, -230], "size": [180, 86], "flags": {}, "order": 5, "mode": 0, "inputs": [{"label": "image", "localized_name": "images.image0", "name": "images.image0", "type": "IMAGE", "link": null}], "outputs": [{"label": "R", "localized_name": "IMAGE0", "name": "IMAGE0", "type": "IMAGE", "links": []}, {"label": "G", "localized_name": "IMAGE1", "name": "IMAGE1", "type": "IMAGE", "links": []}, {"label": "B", "localized_name": "IMAGE2", "name": "IMAGE2", "type": "IMAGE", "links": []}, {"label": "A", "localized_name": "IMAGE3", "name": "IMAGE3", "type": "IMAGE", "links": []}], "title": "Image Channels", "properties": {"proxyWidgets": []}, "widgets_values": []}], "links": [], "version": 0.4, "definitions": {"subgraphs": [{"id": "4c9d6ea4-b912-40e5-8766-6793a9758c53", "version": 1, "state": {"lastGroupId": 0, "lastNodeId": 28, "lastLinkId": 39, "lastRerouteId": 0}, "revision": 0, "config": {}, "name": "Image Channels", "inputNode": {"id": -10, "bounding": [1820, -185, 120, 60]}, "outputNode": {"id": -20, "bounding": [2460, -215, 120, 120]}, "inputs": [{"id": "3522932b-2d86-4a1f-a02a-cb29f3a9d7fe", "name": "images.image0", "type": "IMAGE", "linkIds": [39], "localized_name": "images.image0", "label": "image", "pos": [1920, -165]}], "outputs": [{"id": "605cb9c3-b065-4d9b-81d2-3ec331889b2b", "name": "IMAGE0", "type": "IMAGE", "linkIds": [26], "localized_name": "IMAGE0", "label": "R", "pos": [2480, -195]}, {"id": "fb44a77e-0522-43e9-9527-82e7465b3596", "name": "IMAGE1", "type": "IMAGE", "linkIds": [27], "localized_name": "IMAGE1", "label": "G", "pos": [2480, -175]}, {"id": "81460ee6-0131-402a-874f-6bf3001fc4ff", "name": "IMAGE2", "type": "IMAGE", "linkIds": [28], "localized_name": "IMAGE2", "label": "B", "pos": [2480, -155]}, {"id": "ae690246-80d4-4951-b1d9-9306d8a77417", "name": "IMAGE3", "type": "IMAGE", "linkIds": [29], "localized_name": "IMAGE3", "label": "A", "pos": [2480, -135]}], "widgets": [], "nodes": [{"id": 23, "type": "GLSLShader", "pos": [2000, -330], "size": [400, 172], "flags": {}, "order": 0, "mode": 0, "inputs": [{"label": "image", "localized_name": "images.image0", "name": "images.image0", "type": "IMAGE", "link": 39}, {"localized_name": "fragment_shader", "name": "fragment_shader", "type": "STRING", "widget": {"name": "fragment_shader"}, "link": null}, {"localized_name": "size_mode", "name": "size_mode", "type": "COMFY_DYNAMICCOMBO_V3", "widget": {"name": "size_mode"}, "link": null}, {"label": "image1", "localized_name": "images.image1", "name": "images.image1", "shape": 7, "type": "IMAGE", "link": null}], "outputs": [{"label": "R", "localized_name": "IMAGE0", "name": "IMAGE0", "type": "IMAGE", "links": [26]}, {"label": "G", "localized_name": "IMAGE1", "name": "IMAGE1", "type": "IMAGE", "links": [27]}, {"label": "B", "localized_name": "IMAGE2", "name": "IMAGE2", "type": "IMAGE", "links": [28]}, {"label": "A", "localized_name": "IMAGE3", "name": "IMAGE3", "type": "IMAGE", "links": [29]}], "properties": {"Node name for S&R": "GLSLShader"}, "widgets_values": ["#version 300 es\nprecision highp float;\n\nuniform sampler2D u_image0;\n\nin vec2 v_texCoord;\nlayout(location = 0) out vec4 fragColor0;\nlayout(location = 1) out vec4 fragColor1;\nlayout(location = 2) out vec4 fragColor2;\nlayout(location = 3) out vec4 fragColor3;\n\nvoid main() {\n  vec4 color = texture(u_image0, v_texCoord);\n  // Output each channel as grayscale to separate render targets\n  fragColor0 = vec4(vec3(color.r), 1.0);  // Red channel\n  fragColor1 = vec4(vec3(color.g), 1.0);  // Green channel\n  fragColor2 = vec4(vec3(color.b), 1.0);  // Blue channel\n  fragColor3 = vec4(vec3(color.a), 1.0);  // Alpha channel\n}\n", "from_input"]}], "groups": [], "links": [{"id": 39, "origin_id": -10, "origin_slot": 0, "target_id": 23, "target_slot": 0, "type": "IMAGE"}, {"id": 26, "origin_id": 23, "origin_slot": 0, "target_id": -20, "target_slot": 0, "type": "IMAGE"}, {"id": 27, "origin_id": 23, "origin_slot": 1, "target_id": -20, "target_slot": 1, "type": "IMAGE"}, {"id": 28, "origin_id": 23, "origin_slot": 2, "target_id": -20, "target_slot": 2, "type": "IMAGE"}, {"id": 29, "origin_id": 23, "origin_slot": 3, "target_id": -20, "target_slot": 3, "type": "IMAGE"}], "extra": {"workflowRendererVersion": "LG"}, "category": "Image Tools/Color adjust"}]}}

blueprints/Image Segmentation (SAM3).json

@@ -1,714 +0,0 @@
-{
-  "revision": 0,
-  "last_node_id": 99,
-  "last_link_id": 0,
-  "nodes": [
-    {
-      "id": 99,
-      "type": "6e7ab3ea-96aa-470f-9b94-3d9d0e01f481",
-      "pos": [
-        -1630,
-        -3270
-      ],
-      "size": [
-        290,
-        370
-      ],
-      "flags": {},
-      "order": 3,
-      "mode": 0,
-      "inputs": [
-        {
-          "label": "image",
-          "localized_name": "image",
-          "name": "image",
-          "type": "IMAGE",
-          "link": null
-        },
-        {
-          "label": "object",
-          "name": "text",
-          "type": "STRING",
-          "widget": {
-            "name": "text"
-          },
-          "link": null
-        },
-        {
-          "name": "bboxes",
-          "type": "BOUNDING_BOX",
-          "link": null
-        },
-        {
-          "name": "positive_coords",
-          "type": "STRING",
-          "link": null
-        },
-        {
-          "name": "negative_coords",
-          "type": "STRING",
-          "link": null
-        },
-        {
-          "name": "threshold",
-          "type": "FLOAT",
-          "widget": {
-            "name": "threshold"
-          },
-          "link": null
-        },
-        {
-          "name": "refine_iterations",
-          "type": "INT",
-          "widget": {
-            "name": "refine_iterations"
-          },
-          "link": null
-        },
-        {
-          "name": "individual_masks",
-          "type": "BOOLEAN",
-          "widget": {
-            "name": "individual_masks"
-          },
-          "link": null
-        },
-        {
-          "name": "ckpt_name",
-          "type": "COMBO",
-          "widget": {
-            "name": "ckpt_name"
-          },
-          "link": null
-        }
-      ],
-      "outputs": [
-        {
-          "localized_name": "masks",
-          "name": "masks",
-          "type": "MASK",
-          "links": []
-        },
-        {
-          "localized_name": "bboxes",
-          "name": "bboxes",
-          "type": "BOUNDING_BOX",
-          "links": []
-        }
-      ],
-      "properties": {
-        "proxyWidgets": [
-          [
-            "78",
-            "text"
-          ],
-          [
-            "75",
-            "threshold"
-          ],
-          [
-            "75",
-            "refine_iterations"
-          ],
-          [
-            "75",
-            "individual_masks"
-          ],
-          [
-            "77",
-            "ckpt_name"
-          ]
-        ],
-        "ue_properties": {
-          "widget_ue_connectable": {
-            "text": true
-          },
-          "version": "7.7",
-          "input_ue_unconnectable": {}
-        },
-        "cnr_id": "comfy-core",
-        "ver": "0.19.3",
-        "enableTabs": false,
-        "tabWidth": 65,
-        "tabXOffset": 10,
-        "hasSecondTab": false,
-        "secondTabText": "Send Back",
-        "secondTabOffset": 80,
-        "secondTabWidth": 65
-      },
-      "widgets_values": [],
-      "title": "Image Segmentation (SAM3)"
-    }
-  ],
-  "links": [],
-  "version": 0.4,
-  "definitions": {
-    "subgraphs": [
-      {
-        "id": "6e7ab3ea-96aa-470f-9b94-3d9d0e01f481",
-        "version": 1,
-        "state": {
-          "lastGroupId": 0,
-          "lastNodeId": 113,
-          "lastLinkId": 283,
-          "lastRerouteId": 0
-        },
-        "revision": 0,
-        "config": {},
-        "name": "Image Segmentation (SAM3)",
-        "inputNode": {
-          "id": -10,
-          "bounding": [
-            -2260,
-            -3450,
-            136.369140625,
-            220
-          ]
-        },
-        "outputNode": {
-          "id": -20,
-          "bounding": [
-            -1130,
-            -3305,
-            120,
-            80
-          ]
-        },
-        "inputs": [
-          {
-            "id": "a6e75fa2-162a-4af0-a2fd-1e9c899a5ab6",
-            "name": "image",
-            "type": "IMAGE",
-            "linkIds": [
-              264
-            ],
-            "localized_name": "image",
-            "label": "image",
-            "pos": [
-              -2143.630859375,
-              -3430
-            ]
-          },
-          {
-            "id": "3cefd304-7631-4ff6-a5a0-5a0ffb120745",
-            "name": "text",
-            "type": "STRING",
-            "linkIds": [
-              265
-            ],
-            "label": "object",
-            "pos": [
-              -2143.630859375,
-              -3410
-            ]
-          },
-          {
-            "id": "1aec91c5-d8d2-441c-928c-49c14e7e80ed",
-            "name": "bboxes",
-            "type": "BOUNDING_BOX",
-            "linkIds": [
-              266
-            ],
-            "pos": [
-              -2143.630859375,
-              -3390
-            ]
-          },
-          {
-            "id": "1ec7ce1a-8257-4719-8a81-60ebc8a98899",
-            "name": "positive_coords",
-            "type": "STRING",
-            "linkIds": [
-              267
-            ],
-            "pos": [
-              -2143.630859375,
-              -3370
-            ]
-          },
-          {
-            "id": "c65f8b87-9bd7-48be-9fc2-823431e95019",
-            "name": "negative_coords",
-            "type": "STRING",
-            "linkIds": [
-              268
-            ],
-            "pos": [
-              -2143.630859375,
-              -3350
-            ]
-          },
-          {
-            "id": "bb4ba35a-ccfe-4c37-98e5-d9b0d69585fb",
-            "name": "threshold",
-            "type": "FLOAT",
-            "linkIds": [
-              269
-            ],
-            "pos": [
-              -2143.630859375,
-              -3330
-            ]
-          },
-          {
-            "id": "b1439668-b050-490b-a5dc-fc4052c55666",
-            "name": "refine_iterations",
-            "type": "INT",
-            "linkIds": [
-              270
-            ],
-            "pos": [
-              -2143.630859375,
-              -3310
-            ]
-          },
-          {
-            "id": "86e239e5-c098-4302-b54d-d42a38bc0f89",
-            "name": "individual_masks",
-            "type": "BOOLEAN",
-            "linkIds": [
-              271
-            ],
-            "pos": [
-              -2143.630859375,
-              -3290
-            ]
-          },
-          {
-            "id": "f9e0b9d4-b2f1-4907-a4a5-305656576706",
-            "name": "ckpt_name",
-            "type": "COMBO",
-            "linkIds": [
-              272
-            ],
-            "pos": [
-              -2143.630859375,
-              -3270
-            ]
-          }
-        ],
-        "outputs": [
-          {
-            "id": "ff50da09-1e59-4a58-9b7f-be1a00aa5913",
-            "name": "masks",
-            "type": "MASK",
-            "linkIds": [
-              231
-            ],
-            "localized_name": "masks",
-            "pos": [
-              -1110,
-              -3285
-            ]
-          },
-          {
-            "id": "8f622e40-8528-4078-b7d3-147e9f872194",
-            "name": "bboxes",
-            "type": "BOUNDING_BOX",
-            "linkIds": [
-              232
-            ],
-            "localized_name": "bboxes",
-            "pos": [
-              -1110,
-              -3265
-            ]
-          }
-        ],
-        "widgets": [],
-        "nodes": [
-          {
-            "id": 75,
-            "type": "SAM3_Detect",
-            "pos": [
-              -1470,
-              -3460
-            ],
-            "size": [
-              270,
-              260
-            ],
-            "flags": {},
-            "order": 0,
-            "mode": 0,
-            "inputs": [
-              {
-                "label": "model",
-                "localized_name": "model",
-                "name": "model",
-                "type": "MODEL",
-                "link": 237
-              },
-              {
-                "label": "image",
-                "localized_name": "image",
-                "name": "image",
-                "type": "IMAGE",
-                "link": 264
-              },
-              {
-                "label": "conditioning",
-                "localized_name": "conditioning",
-                "name": "conditioning",
-                "shape": 7,
-                "type": "CONDITIONING",
-                "link": 200
-              },
-              {
-                "label": "bboxes",
-                "localized_name": "bboxes",
-                "name": "bboxes",
-                "shape": 7,
-                "type": "BOUNDING_BOX",
-                "link": 266
-              },
-              {
-                "label": "positive_coords",
-                "localized_name": "positive_coords",
-                "name": "positive_coords",
-                "shape": 7,
-                "type": "STRING",
-                "link": 267
-              },
-              {
-                "label": "negative_coords",
-                "localized_name": "negative_coords",
-                "name": "negative_coords",
-                "shape": 7,
-                "type": "STRING",
-                "link": 268
-              },
-              {
-                "localized_name": "threshold",
-                "name": "threshold",
-                "type": "FLOAT",
-                "widget": {
-                  "name": "threshold"
-                },
-                "link": 269
-              },
-              {
-                "localized_name": "refine_iterations",
-                "name": "refine_iterations",
-                "type": "INT",
-                "widget": {
-                  "name": "refine_iterations"
-                },
-                "link": 270
-              },
-              {
-                "localized_name": "individual_masks",
-                "name": "individual_masks",
-                "type": "BOOLEAN",
-                "widget": {
-                  "name": "individual_masks"
-                },
-                "link": 271
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "masks",
-                "name": "masks",
-                "type": "MASK",
-                "links": [
-                  231
-                ]
-              },
-              {
-                "localized_name": "bboxes",
-                "name": "bboxes",
-                "type": "BOUNDING_BOX",
-                "links": [
-                  232
-                ]
-              }
-            ],
-            "properties": {
-              "ue_properties": {
-                "widget_ue_connectable": {},
-                "version": "7.7",
-                "input_ue_unconnectable": {}
-              },
-              "cnr_id": "comfy-core",
-              "ver": "0.19.3",
-              "Node name for S&R": "SAM3_Detect",
-              "enableTabs": false,
-              "tabWidth": 65,
-              "tabXOffset": 10,
-              "hasSecondTab": false,
-              "secondTabText": "Send Back",
-              "secondTabOffset": 80,
-              "secondTabWidth": 65
-            },
-            "widgets_values": [
-              0.5,
-              2,
-              false
-            ]
-          },
-          {
-            "id": 77,
-            "type": "CheckpointLoaderSimple",
-            "pos": [
-              -1970,
-              -3200
-            ],
-            "size": [
-              330,
-              140
-            ],
-            "flags": {},
-            "order": 1,
-            "mode": 0,
-            "inputs": [
-              {
-                "localized_name": "ckpt_name",
-                "name": "ckpt_name",
-                "type": "COMBO",
-                "widget": {
-                  "name": "ckpt_name"
-                },
-                "link": 272
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "MODEL",
-                "name": "MODEL",
-                "type": "MODEL",
-                "links": [
-                  237
-                ]
-              },
-              {
-                "localized_name": "CLIP",
-                "name": "CLIP",
-                "type": "CLIP",
-                "links": [
-                  240
-                ]
-              },
-              {
-                "localized_name": "VAE",
-                "name": "VAE",
-                "type": "VAE",
-                "links": null
-              }
-            ],
-            "properties": {
-              "ue_properties": {
-                "widget_ue_connectable": {},
-                "version": "7.7",
-                "input_ue_unconnectable": {}
-              },
-              "cnr_id": "comfy-core",
-              "ver": "0.19.3",
-              "Node name for S&R": "CheckpointLoaderSimple",
-              "enableTabs": false,
-              "tabWidth": 65,
-              "tabXOffset": 10,
-              "hasSecondTab": false,
-              "secondTabText": "Send Back",
-              "secondTabOffset": 80,
-              "secondTabWidth": 65,
-              "models": [
-                {
-                  "name": "sam3.1_multiplex_fp16.safetensors",
-                  "url": "https://huggingface.co/Comfy-Org/sam3.1/resolve/main/checkpoints/sam3.1_multiplex_fp16.safetensors",
-                  "directory": "checkpoints"
-                }
-              ]
-            },
-            "widgets_values": [
-              "sam3.1_multiplex_fp16.safetensors"
-            ]
-          },
-          {
-            "id": 78,
-            "type": "CLIPTextEncode",
-            "pos": [
-              -2000,
-              -3000
-            ],
-            "size": [
-              400,
-              200
-            ],
-            "flags": {},
-            "order": 2,
-            "mode": 0,
-            "inputs": [
-              {
-                "localized_name": "clip",
-                "name": "clip",
-                "type": "CLIP",
-                "link": 240
-              },
-              {
-                "localized_name": "text",
-                "name": "text",
-                "type": "STRING",
-                "widget": {
-                  "name": "text"
-                },
-                "link": 265
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "CONDITIONING",
-                "name": "CONDITIONING",
-                "type": "CONDITIONING",
-                "links": [
-                  200
-                ]
-              }
-            ],
-            "properties": {
-              "ue_properties": {
-                "widget_ue_connectable": {},
-                "version": "7.7",
-                "input_ue_unconnectable": {}
-              },
-              "cnr_id": "comfy-core",
-              "ver": "0.19.3",
-              "Node name for S&R": "CLIPTextEncode",
-              "enableTabs": false,
-              "tabWidth": 65,
-              "tabXOffset": 10,
-              "hasSecondTab": false,
-              "secondTabText": "Send Back",
-              "secondTabOffset": 80,
-              "secondTabWidth": 65
-            },
-            "widgets_values": [
-              ""
-            ]
-          }
-        ],
-        "groups": [],
-        "links": [
-          {
-            "id": 237,
-            "origin_id": 77,
-            "origin_slot": 0,
-            "target_id": 75,
-            "target_slot": 0,
-            "type": "MODEL"
-          },
-          {
-            "id": 200,
-            "origin_id": 78,
-            "origin_slot": 0,
-            "target_id": 75,
-            "target_slot": 2,
-            "type": "CONDITIONING"
-          },
-          {
-            "id": 240,
-            "origin_id": 77,
-            "origin_slot": 1,
-            "target_id": 78,
-            "target_slot": 0,
-            "type": "CLIP"
-          },
-          {
-            "id": 231,
-            "origin_id": 75,
-            "origin_slot": 0,
-            "target_id": -20,
-            "target_slot": 0,
-            "type": "MASK"
-          },
-          {
-            "id": 232,
-            "origin_id": 75,
-            "origin_slot": 1,
-            "target_id": -20,
-            "target_slot": 1,
-            "type": "BOUNDING_BOX"
-          },
-          {
-            "id": 264,
-            "origin_id": -10,
-            "origin_slot": 0,
-            "target_id": 75,
-            "target_slot": 1,
-            "type": "IMAGE"
-          },
-          {
-            "id": 265,
-            "origin_id": -10,
-            "origin_slot": 1,
-            "target_id": 78,
-            "target_slot": 1,
-            "type": "STRING"
-          },
-          {
-            "id": 266,
-            "origin_id": -10,
-            "origin_slot": 2,
-            "target_id": 75,
-            "target_slot": 3,
-            "type": "BOUNDING_BOX"
-          },
-          {
-            "id": 267,
-            "origin_id": -10,
-            "origin_slot": 3,
-            "target_id": 75,
-            "target_slot": 4,
-            "type": "STRING"
-          },
-          {
-            "id": 268,
-            "origin_id": -10,
-            "origin_slot": 4,
-            "target_id": 75,
-            "target_slot": 5,
-            "type": "STRING"
-          },
-          {
-            "id": 269,
-            "origin_id": -10,
-            "origin_slot": 5,
-            "target_id": 75,
-            "target_slot": 6,
-            "type": "FLOAT"
-          },
-          {
-            "id": 270,
-            "origin_id": -10,
-            "origin_slot": 6,
-            "target_id": 75,
-            "target_slot": 7,
-            "type": "INT"
-          },
-          {
-            "id": 271,
-            "origin_id": -10,
-            "origin_slot": 7,
-            "target_id": 75,
-            "target_slot": 8,
-            "type": "BOOLEAN"
-          },
-          {
-            "id": 272,
-            "origin_id": -10,
-            "origin_slot": 8,
-            "target_id": 77,
-            "target_slot": 0,
-            "type": "COMBO"
-          }
-        ],
-        "extra": {},
-        "category": "Image Tools/Image Segmentation",
-        "description": "Segments images into masks using Meta SAM3 from text prompts, points, or boxes."
-      }
-    ]
-  },
-  "extra": {
-    "ue_links": []
-  }
-}

blueprints/Prompt Enhance.json

@@ -1,279 +1 @@
-{
-  "revision": 0,
-  "last_node_id": 15,
-  "last_link_id": 0,
-  "nodes": [
-    {
-      "id": 15,
-      "type": "24d8bbfd-39d4-4774-bff0-3de40cc7a471",
-      "pos": [
-        -1490,
-        2040
-      ],
-      "size": [
-        400,
-        260
-      ],
-      "flags": {},
-      "order": 0,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "prompt",
-          "type": "STRING",
-          "widget": {
-            "name": "prompt"
-          },
-          "link": null
-        },
-        {
-          "label": "reference images",
-          "name": "images",
-          "type": "IMAGE",
-          "link": null
-        }
-      ],
-      "outputs": [
-        {
-          "name": "STRING",
-          "type": "STRING",
-          "links": null
-        }
-      ],
-      "title": "Prompt Enhance",
-      "properties": {
-        "proxyWidgets": [
-          [
-            "-1",
-            "prompt"
-          ]
-        ],
-        "cnr_id": "comfy-core",
-        "ver": "0.14.1"
-      },
-      "widgets_values": [
-        ""
-      ]
-    }
-  ],
-  "links": [],
-  "version": 0.4,
-  "definitions": {
-    "subgraphs": [
-      {
-        "id": "24d8bbfd-39d4-4774-bff0-3de40cc7a471",
-        "version": 1,
-        "state": {
-          "lastGroupId": 0,
-          "lastNodeId": 15,
-          "lastLinkId": 14,
-          "lastRerouteId": 0
-        },
-        "revision": 0,
-        "config": {},
-        "name": "Prompt Enhance",
-        "inputNode": {
-          "id": -10,
-          "bounding": [
-            -2170,
-            2110,
-            138.876953125,
-            80
-          ]
-        },
-        "outputNode": {
-          "id": -20,
-          "bounding": [
-            -640,
-            2110,
-            120,
-            60
-          ]
-        },
-        "inputs": [
-          {
-            "id": "aeab7216-00e0-4528-a09b-bba50845c5a6",
-            "name": "prompt",
-            "type": "STRING",
-            "linkIds": [
-              11
-            ],
-            "pos": [
-              -2051.123046875,
-              2130
-            ]
-          },
-          {
-            "id": "7b73fd36-aa31-4771-9066-f6c83879994b",
-            "name": "images",
-            "type": "IMAGE",
-            "linkIds": [
-              14
-            ],
-            "label": "reference images",
-            "pos": [
-              -2051.123046875,
-              2150
-            ]
-          }
-        ],
-        "outputs": [
-          {
-            "id": "c7b0d930-68a1-48d1-b496-0519e5837064",
-            "name": "STRING",
-            "type": "STRING",
-            "linkIds": [
-              13
-            ],
-            "pos": [
-              -620,
-              2130
-            ]
-          }
-        ],
-        "widgets": [],
-        "nodes": [
-          {
-            "id": 11,
-            "type": "GeminiNode",
-            "pos": [
-              -1560,
-              1990
-            ],
-            "size": [
-              470,
-              470
-            ],
-            "flags": {},
-            "order": 0,
-            "mode": 0,
-            "inputs": [
-              {
-                "localized_name": "images",
-                "name": "images",
-                "shape": 7,
-                "type": "IMAGE",
-                "link": 14
-              },
-              {
-                "localized_name": "audio",
-                "name": "audio",
-                "shape": 7,
-                "type": "AUDIO",
-                "link": null
-              },
-              {
-                "localized_name": "video",
-                "name": "video",
-                "shape": 7,
-                "type": "VIDEO",
-                "link": null
-              },
-              {
-                "localized_name": "files",
-                "name": "files",
-                "shape": 7,
-                "type": "GEMINI_INPUT_FILES",
-                "link": null
-              },
-              {
-                "localized_name": "prompt",
-                "name": "prompt",
-                "type": "STRING",
-                "widget": {
-                  "name": "prompt"
-                },
-                "link": 11
-              },
-              {
-                "localized_name": "model",
-                "name": "model",
-                "type": "COMBO",
-                "widget": {
-                  "name": "model"
-                },
-                "link": null
-              },
-              {
-                "localized_name": "seed",
-                "name": "seed",
-                "type": "INT",
-                "widget": {
-                  "name": "seed"
-                },
-                "link": null
-              },
-              {
-                "localized_name": "system_prompt",
-                "name": "system_prompt",
-                "shape": 7,
-                "type": "STRING",
-                "widget": {
-                  "name": "system_prompt"
-                },
-                "link": null
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "STRING",
-                "name": "STRING",
-                "type": "STRING",
-                "links": [
-                  13
-                ]
-              }
-            ],
-            "properties": {
-              "cnr_id": "comfy-core",
-              "ver": "0.14.1",
-              "Node name for S&R": "GeminiNode"
-            },
-            "widgets_values": [
-              "",
-              "gemini-3-pro-preview",
-              42,
-              "randomize",
-              "You are an expert in prompt writing.\nBased on the input, rewrite the user's input into a detailed prompt.\nincluding camera settings, lighting, composition, and style.\nReturn the prompt only"
-            ],
-            "color": "#432",
-            "bgcolor": "#653"
-          }
-        ],
-        "groups": [],
-        "links": [
-          {
-            "id": 11,
-            "origin_id": -10,
-            "origin_slot": 0,
-            "target_id": 11,
-            "target_slot": 4,
-            "type": "STRING"
-          },
-          {
-            "id": 13,
-            "origin_id": 11,
-            "origin_slot": 0,
-            "target_id": -20,
-            "target_slot": 0,
-            "type": "STRING"
-          },
-          {
-            "id": 14,
-            "origin_id": -10,
-            "origin_slot": 1,
-            "target_id": 11,
-            "target_slot": 0,
-            "type": "IMAGE"
-          }
-        ],
-        "extra": {
-          "workflowRendererVersion": "LG"
-        },
-        "category": "Text generation/Prompt enhance",
-        "description": "Expands short text prompts into detailed descriptions using a text generation model for better generation quality."
-      }
-    ]
-  },
-  "extra": {}
-}
+{"revision": 0, "last_node_id": 15, "last_link_id": 0, "nodes": [{"id": 15, "type": "24d8bbfd-39d4-4774-bff0-3de40cc7a471", "pos": [-1490, 2040], "size": [400, 260], "flags": {}, "order": 0, "mode": 0, "inputs": [{"name": "prompt", "type": "STRING", "widget": {"name": "prompt"}, "link": null}, {"label": "reference images", "name": "images", "type": "IMAGE", "link": null}], "outputs": [{"name": "STRING", "type": "STRING", "links": null}], "title": "Prompt Enhance", "properties": {"proxyWidgets": [["-1", "prompt"]], "cnr_id": "comfy-core", "ver": "0.14.1"}, "widgets_values": [""]}], "links": [], "version": 0.4, "definitions": {"subgraphs": [{"id": "24d8bbfd-39d4-4774-bff0-3de40cc7a471", "version": 1, "state": {"lastGroupId": 0, "lastNodeId": 15, "lastLinkId": 14, "lastRerouteId": 0}, "revision": 0, "config": {}, "name": "Prompt Enhance", "inputNode": {"id": -10, "bounding": [-2170, 2110, 138.876953125, 80]}, "outputNode": {"id": -20, "bounding": [-640, 2110, 120, 60]}, "inputs": [{"id": "aeab7216-00e0-4528-a09b-bba50845c5a6", "name": "prompt", "type": "STRING", "linkIds": [11], "pos": [-2051.123046875, 2130]}, {"id": "7b73fd36-aa31-4771-9066-f6c83879994b", "name": "images", "type": "IMAGE", "linkIds": [14], "label": "reference images", "pos": [-2051.123046875, 2150]}], "outputs": [{"id": "c7b0d930-68a1-48d1-b496-0519e5837064", "name": "STRING", "type": "STRING", "linkIds": [13], "pos": [-620, 2130]}], "widgets": [], "nodes": [{"id": 11, "type": "GeminiNode", "pos": [-1560, 1990], "size": [470, 470], "flags": {}, "order": 0, "mode": 0, "inputs": [{"localized_name": "images", "name": "images", "shape": 7, "type": "IMAGE", "link": 14}, {"localized_name": "audio", "name": "audio", "shape": 7, "type": "AUDIO", "link": null}, {"localized_name": "video", "name": "video", "shape": 7, "type": "VIDEO", "link": null}, {"localized_name": "files", "name": "files", "shape": 7, "type": "GEMINI_INPUT_FILES", "link": null}, {"localized_name": "prompt", "name": "prompt", "type": "STRING", "widget": {"name": "prompt"}, "link": 11}, {"localized_name": "model", "name": "model", "type": "COMBO", "widget": {"name": "model"}, "link": null}, {"localized_name": "seed", "name": "seed", "type": "INT", "widget": {"name": "seed"}, "link": null}, {"localized_name": "system_prompt", "name": "system_prompt", "shape": 7, "type": "STRING", "widget": {"name": "system_prompt"}, "link": null}], "outputs": [{"localized_name": "STRING", "name": "STRING", "type": "STRING", "links": [13]}], "properties": {"cnr_id": "comfy-core", "ver": "0.14.1", "Node name for S&R": "GeminiNode"}, "widgets_values": ["", "gemini-3-pro-preview", 42, "randomize", "You are an expert in prompt writing.\nBased on the input, rewrite the user's input into a detailed prompt.\nincluding camera settings, lighting, composition, and style.\nReturn the prompt only"], "color": "#432", "bgcolor": "#653"}], "groups": [], "links": [{"id": 11, "origin_id": -10, "origin_slot": 0, "target_id": 11, "target_slot": 4, "type": "STRING"}, {"id": 13, "origin_id": 11, "origin_slot": 0, "target_id": -20, "target_slot": 0, "type": "STRING"}, {"id": 14, "origin_id": -10, "origin_slot": 1, "target_id": 11, "target_slot": 0, "type": "IMAGE"}], "extra": {"workflowRendererVersion": "LG"}, "category": "Text generation/Prompt enhance"}]}, "extra": {}}

blueprints/Remove Background (BiRefNet).json

@@ -1,397 +0,0 @@
-{
-  "revision": 0,
-  "last_node_id": 19,
-  "last_link_id": 0,
-  "nodes": [
-    {
-      "id": 19,
-      "type": "5b40ca21-ba1a-41d5-b403-4d2d7acdc195",
-      "pos": [
-        -6411.330578108367,
-        1940.2638932730042
-      ],
-      "size": [
-        349.609375,
-        145.9375
-      ],
-      "flags": {},
-      "order": 2,
-      "mode": 0,
-      "inputs": [
-        {
-          "localized_name": "image",
-          "name": "image",
-          "type": "IMAGE",
-          "link": null
-        },
-        {
-          "name": "bg_removal_name",
-          "type": "COMBO",
-          "widget": {
-            "name": "bg_removal_name"
-          },
-          "link": null
-        }
-      ],
-      "outputs": [
-        {
-          "localized_name": "IMAGE",
-          "name": "IMAGE",
-          "type": "IMAGE",
-          "links": []
-        },
-        {
-          "name": "mask",
-          "type": "MASK",
-          "links": []
-        }
-      ],
-      "properties": {
-        "proxyWidgets": [
-          [
-            "14",
-            "bg_removal_name"
-          ]
-        ]
-      },
-      "widgets_values": [],
-      "title": "Remove Background (BiRefNet)"
-    }
-  ],
-  "links": [],
-  "version": 0.4,
-  "definitions": {
-    "subgraphs": [
-      {
-        "id": "5b40ca21-ba1a-41d5-b403-4d2d7acdc195",
-        "version": 1,
-        "state": {
-          "lastGroupId": 0,
-          "lastNodeId": 21,
-          "lastLinkId": 16,
-          "lastRerouteId": 0
-        },
-        "revision": 0,
-        "config": {},
-        "name": "Remove Background (BiRefNet)",
-        "description": "Removes or replaces image backgrounds using BiRefNet segmentation and alpha compositing.",
-        "inputNode": {
-          "id": -10,
-          "bounding": [
-            -6728.534070722246,
-            1475.2619799128663,
-            150.9140625,
-            88
-          ]
-        },
-        "outputNode": {
-          "id": -20,
-          "bounding": [
-            -6169.049695722246,
-            1475.2619799128663,
-            128,
-            88
-          ]
-        },
-        "inputs": [
-          {
-            "id": "7bc321cd-df31-4c39-aaf7-7f0d01326189",
-            "name": "image",
-            "type": "IMAGE",
-            "linkIds": [
-              5,
-              7
-            ],
-            "localized_name": "image",
-            "pos": [
-              -6601.620008222246,
-              1499.2619799128663
-            ]
-          },
-          {
-            "id": "e89d2cd8-daa3-4e29-8a69-851db85072cb",
-            "name": "bg_removal_name",
-            "type": "COMBO",
-            "linkIds": [
-              12
-            ],
-            "pos": [
-              -6601.620008222246,
-              1519.2619799128663
-            ]
-          }
-        ],
-        "outputs": [
-          {
-            "id": "16e7863c-4c38-46c2-aa74-e82991fbfe8d",
-            "name": "IMAGE",
-            "type": "IMAGE",
-            "linkIds": [
-              8
-            ],
-            "localized_name": "IMAGE",
-            "pos": [
-              -6145.049695722246,
-              1499.2619799128663
-            ]
-          },
-          {
-            "id": "f7240c19-5b80-406e-a8e2-9b12440ee2d6",
-            "name": "mask",
-            "type": "MASK",
-            "linkIds": [
-              11
-            ],
-            "pos": [
-              -6145.049695722246,
-              1519.2619799128663
-            ]
-          }
-        ],
-        "widgets": [],
-        "nodes": [
-          {
-            "id": 13,
-            "type": "RemoveBackground",
-            "pos": [
-              -6536.764823982709,
-              1444.9963409012412
-            ],
-            "size": [
-              302.25,
-              72
-            ],
-            "flags": {},
-            "order": 0,
-            "mode": 0,
-            "inputs": [
-              {
-                "localized_name": "image",
-                "name": "image",
-                "type": "IMAGE",
-                "link": 5
-              },
-              {
-                "localized_name": "bg_removal_model",
-                "name": "bg_removal_model",
-                "type": "BACKGROUND_REMOVAL",
-                "link": 3
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "mask",
-                "name": "mask",
-                "type": "MASK",
-                "links": [
-                  4,
-                  11
-                ]
-              }
-            ],
-            "properties": {
-              "Node name for S&R": "RemoveBackground"
-            }
-          },
-          {
-            "id": 14,
-            "type": "LoadBackgroundRemovalModel",
-            "pos": [
-              -6540.534070722246,
-              1302.223464635445
-            ],
-            "size": [
-              311.484375,
-              85.515625
-            ],
-            "flags": {},
-            "order": 1,
-            "mode": 0,
-            "inputs": [
-              {
-                "localized_name": "bg_removal_name",
-                "name": "bg_removal_name",
-                "type": "COMBO",
-                "widget": {
-                  "name": "bg_removal_name"
-                },
-                "link": 12
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "bg_model",
-                "name": "bg_model",
-                "type": "BACKGROUND_REMOVAL",
-                "links": [
-                  3
-                ]
-              }
-            ],
-            "properties": {
-              "Node name for S&R": "LoadBackgroundRemovalModel",
-              "models": [
-                {
-                  "name": "birefnet.safetensors",
-                  "url": "https://huggingface.co/Comfy-Org/BiRefNet/resolve/main/background_removal/birefnet.safetensors",
-                  "directory": "background_removal"
-                }
-              ]
-            },
-            "widgets_values": [
-              "birefnet.safetensors"
-            ]
-          },
-          {
-            "id": 15,
-            "type": "InvertMask",
-            "pos": [
-              -6532.446160529669,
-              1571.1111286839914
-            ],
-            "size": [
-              285.984375,
-              48
-            ],
-            "flags": {},
-            "order": 2,
-            "mode": 0,
-            "inputs": [
-              {
-                "localized_name": "mask",
-                "name": "mask",
-                "type": "MASK",
-                "link": 4
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "MASK",
-                "name": "MASK",
-                "type": "MASK",
-                "links": [
-                  6
-                ]
-              }
-            ],
-            "properties": {
-              "Node name for S&R": "InvertMask"
-            }
-          },
-          {
-            "id": 16,
-            "type": "JoinImageWithAlpha",
-            "pos": [
-              -6527.4370171636665,
-              1674.3004951902876
-            ],
-            "size": [
-              284.96875,
-              72
-            ],
-            "flags": {},
-            "order": 3,
-            "mode": 0,
-            "inputs": [
-              {
-                "localized_name": "image",
-                "name": "image",
-                "type": "IMAGE",
-                "link": 7
-              },
-              {
-                "localized_name": "alpha",
-                "name": "alpha",
-                "type": "MASK",
-                "link": 6
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "IMAGE",
-                "name": "IMAGE",
-                "type": "IMAGE",
-                "links": [
-                  8
-                ]
-              }
-            ],
-            "properties": {
-              "Node name for S&R": "JoinImageWithAlpha"
-            }
-          }
-        ],
-        "groups": [],
-        "links": [
-          {
-            "id": 3,
-            "origin_id": 14,
-            "origin_slot": 0,
-            "target_id": 13,
-            "target_slot": 1,
-            "type": "BACKGROUND_REMOVAL"
-          },
-          {
-            "id": 4,
-            "origin_id": 13,
-            "origin_slot": 0,
-            "target_id": 15,
-            "target_slot": 0,
-            "type": "MASK"
-          },
-          {
-            "id": 6,
-            "origin_id": 15,
-            "origin_slot": 0,
-            "target_id": 16,
-            "target_slot": 1,
-            "type": "MASK"
-          },
-          {
-            "id": 5,
-            "origin_id": -10,
-            "origin_slot": 0,
-            "target_id": 13,
-            "target_slot": 0,
-            "type": "IMAGE"
-          },
-          {
-            "id": 7,
-            "origin_id": -10,
-            "origin_slot": 0,
-            "target_id": 16,
-            "target_slot": 0,
-            "type": "IMAGE"
-          },
-          {
-            "id": 8,
-            "origin_id": 16,
-            "origin_slot": 0,
-            "target_id": -20,
-            "target_slot": 0,
-            "type": "IMAGE"
-          },
-          {
-            "id": 11,
-            "origin_id": 13,
-            "origin_slot": 0,
-            "target_id": -20,
-            "target_slot": 1,
-            "type": "MASK"
-          },
-          {
-            "id": 12,
-            "origin_id": -10,
-            "origin_slot": 1,
-            "target_id": 14,
-            "target_slot": 0,
-            "type": "COMBO"
-          }
-        ],
-        "extra": {},
-        "category": "Image generation and editing/Background Removal"
-      }
-    ]
-  },
-  "extra": {}
-}

blueprints/Sharpen.json

@@ -1,310 +1 @@
-{
-  "revision": 0,
-  "last_node_id": 25,
-  "last_link_id": 0,
-  "nodes": [
-    {
-      "id": 25,
-      "type": "621ba4e2-22a8-482d-a369-023753198b7b",
-      "pos": [
-        4610,
-        -790
-      ],
-      "size": [
-        230,
-        58
-      ],
-      "flags": {},
-      "order": 4,
-      "mode": 0,
-      "inputs": [
-        {
-          "label": "image",
-          "localized_name": "images.image0",
-          "name": "images.image0",
-          "type": "IMAGE",
-          "link": null
-        }
-      ],
-      "outputs": [
-        {
-          "label": "IMAGE",
-          "localized_name": "IMAGE0",
-          "name": "IMAGE0",
-          "type": "IMAGE",
-          "links": []
-        }
-      ],
-      "title": "Sharpen",
-      "properties": {
-        "proxyWidgets": [
-          [
-            "24",
-            "value"
-          ]
-        ]
-      },
-      "widgets_values": []
-    }
-  ],
-  "links": [],
-  "version": 0.4,
-  "definitions": {
-    "subgraphs": [
-      {
-        "id": "621ba4e2-22a8-482d-a369-023753198b7b",
-        "version": 1,
-        "state": {
-          "lastGroupId": 0,
-          "lastNodeId": 24,
-          "lastLinkId": 36,
-          "lastRerouteId": 0
-        },
-        "revision": 0,
-        "config": {},
-        "name": "Sharpen",
-        "inputNode": {
-          "id": -10,
-          "bounding": [
-            4090,
-            -825,
-            120,
-            60
-          ]
-        },
-        "outputNode": {
-          "id": -20,
-          "bounding": [
-            5150,
-            -825,
-            120,
-            60
-          ]
-        },
-        "inputs": [
-          {
-            "id": "37011fb7-14b7-4e0e-b1a0-6a02e8da1fd7",
-            "name": "images.image0",
-            "type": "IMAGE",
-            "linkIds": [
-              34
-            ],
-            "localized_name": "images.image0",
-            "label": "image",
-            "pos": [
-              4190,
-              -805
-            ]
-          }
-        ],
-        "outputs": [
-          {
-            "id": "e9182b3f-635c-4cd4-a152-4b4be17ae4b9",
-            "name": "IMAGE0",
-            "type": "IMAGE",
-            "linkIds": [
-              35
-            ],
-            "localized_name": "IMAGE0",
-            "label": "IMAGE",
-            "pos": [
-              5170,
-              -805
-            ]
-          }
-        ],
-        "widgets": [],
-        "nodes": [
-          {
-            "id": 24,
-            "type": "PrimitiveFloat",
-            "pos": [
-              4280,
-              -1240
-            ],
-            "size": [
-              270,
-              58
-            ],
-            "flags": {},
-            "order": 0,
-            "mode": 0,
-            "inputs": [
-              {
-                "label": "strength",
-                "localized_name": "value",
-                "name": "value",
-                "type": "FLOAT",
-                "widget": {
-                  "name": "value"
-                },
-                "link": null
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "FLOAT",
-                "name": "FLOAT",
-                "type": "FLOAT",
-                "links": [
-                  36
-                ]
-              }
-            ],
-            "properties": {
-              "Node name for S&R": "PrimitiveFloat",
-              "min": 0,
-              "max": 3,
-              "precision": 2,
-              "step": 0.05
-            },
-            "widgets_values": [
-              0.5
-            ]
-          },
-          {
-            "id": 23,
-            "type": "GLSLShader",
-            "pos": [
-              4570,
-              -1240
-            ],
-            "size": [
-              370,
-              192
-            ],
-            "flags": {},
-            "order": 1,
-            "mode": 0,
-            "inputs": [
-              {
-                "label": "image0",
-                "localized_name": "images.image0",
-                "name": "images.image0",
-                "type": "IMAGE",
-                "link": 34
-              },
-              {
-                "label": "image1",
-                "localized_name": "images.image1",
-                "name": "images.image1",
-                "shape": 7,
-                "type": "IMAGE",
-                "link": null
-              },
-              {
-                "label": "u_float0",
-                "localized_name": "floats.u_float0",
-                "name": "floats.u_float0",
-                "shape": 7,
-                "type": "FLOAT",
-                "link": 36
-              },
-              {
-                "label": "u_float1",
-                "localized_name": "floats.u_float1",
-                "name": "floats.u_float1",
-                "shape": 7,
-                "type": "FLOAT",
-                "link": null
-              },
-              {
-                "label": "u_int0",
-                "localized_name": "ints.u_int0",
-                "name": "ints.u_int0",
-                "shape": 7,
-                "type": "INT",
-                "link": null
-              },
-              {
-                "localized_name": "fragment_shader",
-                "name": "fragment_shader",
-                "type": "STRING",
-                "widget": {
-                  "name": "fragment_shader"
-                },
-                "link": null
-              },
-              {
-                "localized_name": "size_mode",
-                "name": "size_mode",
-                "type": "COMFY_DYNAMICCOMBO_V3",
-                "widget": {
-                  "name": "size_mode"
-                },
-                "link": null
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "IMAGE0",
-                "name": "IMAGE0",
-                "type": "IMAGE",
-                "links": [
-                  35
-                ]
-              },
-              {
-                "localized_name": "IMAGE1",
-                "name": "IMAGE1",
-                "type": "IMAGE",
-                "links": null
-              },
-              {
-                "localized_name": "IMAGE2",
-                "name": "IMAGE2",
-                "type": "IMAGE",
-                "links": null
-              },
-              {
-                "localized_name": "IMAGE3",
-                "name": "IMAGE3",
-                "type": "IMAGE",
-                "links": null
-              }
-            ],
-            "properties": {
-              "Node name for S&R": "GLSLShader"
-            },
-            "widgets_values": [
-              "#version 300 es\nprecision highp float;\n\nuniform sampler2D u_image0;\nuniform float u_float0;  // strength [0.0 – 2.0] typical: 0.3–1.0\n\nin vec2 v_texCoord;\nlayout(location = 0) out vec4 fragColor0;\n\nvoid main() {\n    vec2 texel = 1.0 / vec2(textureSize(u_image0, 0));\n    \n    // Sample center and neighbors\n    vec4 center = texture(u_image0, v_texCoord);\n    vec4 top    = texture(u_image0, v_texCoord + vec2( 0.0, -texel.y));\n    vec4 bottom = texture(u_image0, v_texCoord + vec2( 0.0,  texel.y));\n    vec4 left   = texture(u_image0, v_texCoord + vec2(-texel.x,  0.0));\n    vec4 right  = texture(u_image0, v_texCoord + vec2( texel.x,  0.0));\n    \n    // Edge enhancement (Laplacian)\n    vec4 edges = center * 4.0 - top - bottom - left - right;\n    \n    // Add edges back scaled by strength\n    vec4 sharpened = center + edges * u_float0;\n    \n    fragColor0 = vec4(clamp(sharpened.rgb, 0.0, 1.0), center.a);\n}",
-              "from_input"
-            ]
-          }
-        ],
-        "groups": [],
-        "links": [
-          {
-            "id": 36,
-            "origin_id": 24,
-            "origin_slot": 0,
-            "target_id": 23,
-            "target_slot": 2,
-            "type": "FLOAT"
-          },
-          {
-            "id": 34,
-            "origin_id": -10,
-            "origin_slot": 0,
-            "target_id": 23,
-            "target_slot": 0,
-            "type": "IMAGE"
-          },
-          {
-            "id": 35,
-            "origin_id": 23,
-            "origin_slot": 0,
-            "target_id": -20,
-            "target_slot": 0,
-            "type": "IMAGE"
-          }
-        ],
-        "extra": {
-          "workflowRendererVersion": "LG"
-        },
-        "category": "Image Tools/Sharpen",
-        "description": "Sharpens image details using a GPU fragment shader for enhanced clarity."
-      }
-    ]
-  }
-}
+{"revision": 0, "last_node_id": 25, "last_link_id": 0, "nodes": [{"id": 25, "type": "621ba4e2-22a8-482d-a369-023753198b7b", "pos": [4610, -790], "size": [230, 58], "flags": {}, "order": 4, "mode": 0, "inputs": [{"label": "image", "localized_name": "images.image0", "name": "images.image0", "type": "IMAGE", "link": null}], "outputs": [{"label": "IMAGE", "localized_name": "IMAGE0", "name": "IMAGE0", "type": "IMAGE", "links": []}], "title": "Sharpen", "properties": {"proxyWidgets": [["24", "value"]]}, "widgets_values": []}], "links": [], "version": 0.4, "definitions": {"subgraphs": [{"id": "621ba4e2-22a8-482d-a369-023753198b7b", "version": 1, "state": {"lastGroupId": 0, "lastNodeId": 24, "lastLinkId": 36, "lastRerouteId": 0}, "revision": 0, "config": {}, "name": "Sharpen", "inputNode": {"id": -10, "bounding": [4090, -825, 120, 60]}, "outputNode": {"id": -20, "bounding": [5150, -825, 120, 60]}, "inputs": [{"id": "37011fb7-14b7-4e0e-b1a0-6a02e8da1fd7", "name": "images.image0", "type": "IMAGE", "linkIds": [34], "localized_name": "images.image0", "label": "image", "pos": [4190, -805]}], "outputs": [{"id": "e9182b3f-635c-4cd4-a152-4b4be17ae4b9", "name": "IMAGE0", "type": "IMAGE", "linkIds": [35], "localized_name": "IMAGE0", "label": "IMAGE", "pos": [5170, -805]}], "widgets": [], "nodes": [{"id": 24, "type": "PrimitiveFloat", "pos": [4280, -1240], "size": [270, 58], "flags": {}, "order": 0, "mode": 0, "inputs": [{"label": "strength", "localized_name": "value", "name": "value", "type": "FLOAT", "widget": {"name": "value"}, "link": null}], "outputs": [{"localized_name": "FLOAT", "name": "FLOAT", "type": "FLOAT", "links": [36]}], "properties": {"Node name for S&R": "PrimitiveFloat", "min": 0, "max": 3, "precision": 2, "step": 0.05}, "widgets_values": [0.5]}, {"id": 23, "type": "GLSLShader", "pos": [4570, -1240], "size": [370, 192], "flags": {}, "order": 1, "mode": 0, "inputs": [{"label": "image0", "localized_name": "images.image0", "name": "images.image0", "type": "IMAGE", "link": 34}, {"label": "image1", "localized_name": "images.image1", "name": "images.image1", "shape": 7, "type": "IMAGE", "link": null}, {"label": "u_float0", "localized_name": "floats.u_float0", "name": "floats.u_float0", "shape": 7, "type": "FLOAT", "link": 36}, {"label": "u_float1", "localized_name": "floats.u_float1", "name": "floats.u_float1", "shape": 7, "type": "FLOAT", "link": null}, {"label": "u_int0", "localized_name": "ints.u_int0", "name": "ints.u_int0", "shape": 7, "type": "INT", "link": null}, {"localized_name": "fragment_shader", "name": "fragment_shader", "type": "STRING", "widget": {"name": "fragment_shader"}, "link": null}, {"localized_name": "size_mode", "name": "size_mode", "type": "COMFY_DYNAMICCOMBO_V3", "widget": {"name": "size_mode"}, "link": null}], "outputs": [{"localized_name": "IMAGE0", "name": "IMAGE0", "type": "IMAGE", "links": [35]}, {"localized_name": "IMAGE1", "name": "IMAGE1", "type": "IMAGE", "links": null}, {"localized_name": "IMAGE2", "name": "IMAGE2", "type": "IMAGE", "links": null}, {"localized_name": "IMAGE3", "name": "IMAGE3", "type": "IMAGE", "links": null}], "properties": {"Node name for S&R": "GLSLShader"}, "widgets_values": ["#version 300 es\nprecision highp float;\n\nuniform sampler2D u_image0;\nuniform vec2 u_resolution;\nuniform float u_float0;  // strength [0.0 – 2.0] typical: 0.3–1.0\n\nin vec2 v_texCoord;\nlayout(location = 0) out vec4 fragColor0;\n\nvoid main() {\n    vec2 texel = 1.0 / u_resolution;\n    \n    // Sample center and neighbors\n    vec4 center = texture(u_image0, v_texCoord);\n    vec4 top    = texture(u_image0, v_texCoord + vec2( 0.0, -texel.y));\n    vec4 bottom = texture(u_image0, v_texCoord + vec2( 0.0,  texel.y));\n    vec4 left   = texture(u_image0, v_texCoord + vec2(-texel.x,  0.0));\n    vec4 right  = texture(u_image0, v_texCoord + vec2( texel.x,  0.0));\n    \n    // Edge enhancement (Laplacian)\n    vec4 edges = center * 4.0 - top - bottom - left - right;\n    \n    // Add edges back scaled by strength\n    vec4 sharpened = center + edges * u_float0;\n    \n    fragColor0 = vec4(clamp(sharpened.rgb, 0.0, 1.0), center.a);\n}", "from_input"]}], "groups": [], "links": [{"id": 36, "origin_id": 24, "origin_slot": 0, "target_id": 23, "target_slot": 2, "type": "FLOAT"}, {"id": 34, "origin_id": -10, "origin_slot": 0, "target_id": 23, "target_slot": 0, "type": "IMAGE"}, {"id": 35, "origin_id": 23, "origin_slot": 0, "target_id": -20, "target_slot": 0, "type": "IMAGE"}], "extra": {"workflowRendererVersion": "LG"}, "category": "Image Tools/Sharpen"}]}}

blueprints/Video Segmentation (SAM3).json

@@ -1,827 +0,0 @@
-{
-  "revision": 0,
-  "last_node_id": 130,
-  "last_link_id": 0,
-  "nodes": [
-    {
-      "id": 130,
-      "type": "7937cf78-b52b-40a3-93b2-b4e2e5f98df1",
-      "pos": [
-        -1210,
-        -2780
-      ],
-      "size": [
-        300,
-        370
-      ],
-      "flags": {},
-      "order": 3,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "video",
-          "type": "VIDEO",
-          "link": null
-        },
-        {
-          "name": "text",
-          "type": "STRING",
-          "widget": {
-            "name": "text"
-          },
-          "link": null
-        },
-        {
-          "name": "bboxes",
-          "type": "BOUNDING_BOX",
-          "link": null
-        },
-        {
-          "name": "positive_coords",
-          "type": "STRING",
-          "link": null
-        },
-        {
-          "name": "negative_coords",
-          "type": "STRING",
-          "link": null
-        },
-        {
-          "name": "threshold",
-          "type": "FLOAT",
-          "widget": {
-            "name": "threshold"
-          },
-          "link": null
-        },
-        {
-          "name": "refine_iterations",
-          "type": "INT",
-          "widget": {
-            "name": "refine_iterations"
-          },
-          "link": null
-        },
-        {
-          "name": "individual_masks",
-          "type": "BOOLEAN",
-          "widget": {
-            "name": "individual_masks"
-          },
-          "link": null
-        },
-        {
-          "name": "ckpt_name",
-          "type": "COMBO",
-          "widget": {
-            "name": "ckpt_name"
-          },
-          "link": null
-        }
-      ],
-      "outputs": [
-        {
-          "localized_name": "masks",
-          "name": "masks",
-          "type": "MASK",
-          "links": []
-        },
-        {
-          "localized_name": "bboxes",
-          "name": "bboxes",
-          "type": "BOUNDING_BOX",
-          "links": []
-        },
-        {
-          "name": "audio",
-          "type": "AUDIO",
-          "links": null
-        },
-        {
-          "name": "fps",
-          "type": "FLOAT",
-          "links": null
-        }
-      ],
-      "properties": {
-        "proxyWidgets": [
-          [
-            "125",
-            "text"
-          ],
-          [
-            "126",
-            "threshold"
-          ],
-          [
-            "126",
-            "refine_iterations"
-          ],
-          [
-            "126",
-            "individual_masks"
-          ],
-          [
-            "127",
-            "ckpt_name"
-          ]
-        ],
-        "cnr_id": "comfy-core",
-        "ver": "0.19.3",
-        "enableTabs": false,
-        "tabWidth": 65,
-        "tabXOffset": 10,
-        "hasSecondTab": false,
-        "secondTabText": "Send Back",
-        "secondTabOffset": 80,
-        "secondTabWidth": 65
-      },
-      "widgets_values": [],
-      "title": "Video Segmentation (SAM3)"
-    }
-  ],
-  "links": [],
-  "version": 0.4,
-  "definitions": {
-    "subgraphs": [
-      {
-        "id": "7937cf78-b52b-40a3-93b2-b4e2e5f98df1",
-        "version": 1,
-        "state": {
-          "lastGroupId": 0,
-          "lastNodeId": 130,
-          "lastLinkId": 299,
-          "lastRerouteId": 0
-        },
-        "revision": 0,
-        "config": {},
-        "name": "Video Segmentation (SAM3)",
-        "inputNode": {
-          "id": -10,
-          "bounding": [
-            -2260,
-            -3450,
-            136.369140625,
-            220
-          ]
-        },
-        "outputNode": {
-          "id": -20,
-          "bounding": [
-            -1050,
-            -3510,
-            120,
-            120
-          ]
-        },
-        "inputs": [
-          {
-            "id": "680ffd88-32fe-48be-88d6-91ea44d5eaee",
-            "name": "video",
-            "type": "VIDEO",
-            "linkIds": [
-              252
-            ],
-            "pos": [
-              -2143.630859375,
-              -3430
-            ]
-          },
-          {
-            "id": "ceaf249c-32d7-4624-8bf6-e590e347ed90",
-            "name": "text",
-            "type": "STRING",
-            "linkIds": [
-              254
-            ],
-            "pos": [
-              -2143.630859375,
-              -3410
-            ]
-          },
-          {
-            "id": "1ffbff36-da0c-4854-8cb4-88ad31e64f99",
-            "name": "bboxes",
-            "type": "BOUNDING_BOX",
-            "linkIds": [
-              255
-            ],
-            "pos": [
-              -2143.630859375,
-              -3390
-            ]
-          },
-          {
-            "id": "67b7f4c7-cec0-4e00-b154-23cc1abf880e",
-            "name": "positive_coords",
-            "type": "STRING",
-            "linkIds": [
-              256
-            ],
-            "pos": [
-              -2143.630859375,
-              -3370
-            ]
-          },
-          {
-            "id": "b090a498-2bde-46b9-9554-18501401d687",
-            "name": "negative_coords",
-            "type": "STRING",
-            "linkIds": [
-              257
-            ],
-            "pos": [
-              -2143.630859375,
-              -3350
-            ]
-          },
-          {
-            "id": "1a76dfcf-ce95-46af-bba5-c42160c683dd",
-            "name": "threshold",
-            "type": "FLOAT",
-            "linkIds": [
-              261
-            ],
-            "pos": [
-              -2143.630859375,
-              -3330
-            ]
-          },
-          {
-            "id": "999523fa-c476-4c53-80c3-0a2f554d18ab",
-            "name": "refine_iterations",
-            "type": "INT",
-            "linkIds": [
-              262
-            ],
-            "pos": [
-              -2143.630859375,
-              -3310
-            ]
-          },
-          {
-            "id": "d2371011-7fe5-4a39-b0c1-df2e0bbd6ece",
-            "name": "individual_masks",
-            "type": "BOOLEAN",
-            "linkIds": [
-              263
-            ],
-            "pos": [
-              -2143.630859375,
-              -3290
-            ]
-          },
-          {
-            "id": "675a8b37-17db-48d1-853c-2fe5d6a74582",
-            "name": "ckpt_name",
-            "type": "COMBO",
-            "linkIds": [
-              273
-            ],
-            "pos": [
-              -2143.630859375,
-              -3270
-            ]
-          }
-        ],
-        "outputs": [
-          {
-            "id": "ff50da09-1e59-4a58-9b7f-be1a00aa5913",
-            "name": "masks",
-            "type": "MASK",
-            "linkIds": [
-              231
-            ],
-            "localized_name": "masks",
-            "pos": [
-              -1030,
-              -3490
-            ]
-          },
-          {
-            "id": "8f622e40-8528-4078-b7d3-147e9f872194",
-            "name": "bboxes",
-            "type": "BOUNDING_BOX",
-            "linkIds": [
-              232
-            ],
-            "localized_name": "bboxes",
-            "pos": [
-              -1030,
-              -3470
-            ]
-          },
-          {
-            "id": "6c9924ec-f0fa-4509-83ea-8f97f5889bcc",
-            "name": "audio",
-            "type": "AUDIO",
-            "linkIds": [
-              259
-            ],
-            "pos": [
-              -1030,
-              -3450
-            ]
-          },
-          {
-            "id": "82c1cddc-ab11-44eb-9e2f-1a5c7ea5645b",
-            "name": "fps",
-            "type": "FLOAT",
-            "linkIds": [
-              260
-            ],
-            "pos": [
-              -1030,
-              -3430
-            ]
-          }
-        ],
-        "widgets": [],
-        "nodes": [
-          {
-            "id": 125,
-            "type": "CLIPTextEncode",
-            "pos": [
-              -2010,
-              -3040
-            ],
-            "size": [
-              400,
-              200
-            ],
-            "flags": {},
-            "order": 1,
-            "mode": 0,
-            "inputs": [
-              {
-                "localized_name": "clip",
-                "name": "clip",
-                "type": "CLIP",
-                "link": 240
-              },
-              {
-                "localized_name": "text",
-                "name": "text",
-                "type": "STRING",
-                "widget": {
-                  "name": "text"
-                },
-                "link": 254
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "CONDITIONING",
-                "name": "CONDITIONING",
-                "type": "CONDITIONING",
-                "links": [
-                  200
-                ]
-              }
-            ],
-            "properties": {
-              "Node name for S&R": "CLIPTextEncode",
-              "cnr_id": "comfy-core",
-              "ver": "0.19.3",
-              "enableTabs": false,
-              "tabWidth": 65,
-              "tabXOffset": 10,
-              "hasSecondTab": false,
-              "secondTabText": "Send Back",
-              "secondTabOffset": 80,
-              "secondTabWidth": 65
-            },
-            "widgets_values": [
-              ""
-            ]
-          },
-          {
-            "id": 126,
-            "type": "SAM3_Detect",
-            "pos": [
-              -1520,
-              -3520
-            ],
-            "size": [
-              270,
-              290
-            ],
-            "flags": {},
-            "order": 2,
-            "mode": 0,
-            "inputs": [
-              {
-                "label": "model",
-                "localized_name": "model",
-                "name": "model",
-                "type": "MODEL",
-                "link": 237
-              },
-              {
-                "label": "image",
-                "localized_name": "image",
-                "name": "image",
-                "type": "IMAGE",
-                "link": 253
-              },
-              {
-                "label": "conditioning",
-                "localized_name": "conditioning",
-                "name": "conditioning",
-                "shape": 7,
-                "type": "CONDITIONING",
-                "link": 200
-              },
-              {
-                "label": "bboxes",
-                "localized_name": "bboxes",
-                "name": "bboxes",
-                "shape": 7,
-                "type": "BOUNDING_BOX",
-                "link": 255
-              },
-              {
-                "label": "positive_coords",
-                "localized_name": "positive_coords",
-                "name": "positive_coords",
-                "shape": 7,
-                "type": "STRING",
-                "link": 256
-              },
-              {
-                "label": "negative_coords",
-                "localized_name": "negative_coords",
-                "name": "negative_coords",
-                "shape": 7,
-                "type": "STRING",
-                "link": 257
-              },
-              {
-                "localized_name": "threshold",
-                "name": "threshold",
-                "type": "FLOAT",
-                "widget": {
-                  "name": "threshold"
-                },
-                "link": 261
-              },
-              {
-                "localized_name": "refine_iterations",
-                "name": "refine_iterations",
-                "type": "INT",
-                "widget": {
-                  "name": "refine_iterations"
-                },
-                "link": 262
-              },
-              {
-                "localized_name": "individual_masks",
-                "name": "individual_masks",
-                "type": "BOOLEAN",
-                "widget": {
-                  "name": "individual_masks"
-                },
-                "link": 263
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "masks",
-                "name": "masks",
-                "type": "MASK",
-                "links": [
-                  231
-                ]
-              },
-              {
-                "localized_name": "bboxes",
-                "name": "bboxes",
-                "type": "BOUNDING_BOX",
-                "links": [
-                  232
-                ]
-              }
-            ],
-            "properties": {
-              "Node name for S&R": "SAM3_Detect",
-              "cnr_id": "comfy-core",
-              "ver": "0.19.3",
-              "enableTabs": false,
-              "tabWidth": 65,
-              "tabXOffset": 10,
-              "hasSecondTab": false,
-              "secondTabText": "Send Back",
-              "secondTabOffset": 80,
-              "secondTabWidth": 65
-            },
-            "widgets_values": [
-              0.5,
-              2,
-              false
-            ]
-          },
-          {
-            "id": 127,
-            "type": "CheckpointLoaderSimple",
-            "pos": [
-              -1970,
-              -3310
-            ],
-            "size": [
-              330,
-              160
-            ],
-            "flags": {},
-            "order": 3,
-            "mode": 0,
-            "inputs": [
-              {
-                "localized_name": "ckpt_name",
-                "name": "ckpt_name",
-                "type": "COMBO",
-                "widget": {
-                  "name": "ckpt_name"
-                },
-                "link": 273
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "MODEL",
-                "name": "MODEL",
-                "type": "MODEL",
-                "links": [
-                  237
-                ]
-              },
-              {
-                "localized_name": "CLIP",
-                "name": "CLIP",
-                "type": "CLIP",
-                "links": [
-                  240
-                ]
-              },
-              {
-                "localized_name": "VAE",
-                "name": "VAE",
-                "type": "VAE",
-                "links": null
-              }
-            ],
-            "properties": {
-              "Node name for S&R": "CheckpointLoaderSimple",
-              "cnr_id": "comfy-core",
-              "ver": "0.19.3",
-              "enableTabs": false,
-              "tabWidth": 65,
-              "tabXOffset": 10,
-              "hasSecondTab": false,
-              "secondTabText": "Send Back",
-              "secondTabOffset": 80,
-              "secondTabWidth": 65,
-              "models": [
-                {
-                  "name": "sam3.1_multiplex_fp16.safetensors",
-                  "url": "https://huggingface.co/Comfy-Org/sam3.1/resolve/main/checkpoints/sam3.1_multiplex_fp16.safetensors",
-                  "directory": "checkpoints"
-                }
-              ]
-            },
-            "widgets_values": [
-              "sam3.1_multiplex_fp16.safetensors"
-            ]
-          },
-          {
-            "id": 128,
-            "type": "GetVideoComponents",
-            "pos": [
-              -1910,
-              -3540
-            ],
-            "size": [
-              230,
-              120
-            ],
-            "flags": {},
-            "order": 4,
-            "mode": 0,
-            "inputs": [
-              {
-                "localized_name": "video",
-                "name": "video",
-                "type": "VIDEO",
-                "link": 252
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "images",
-                "name": "images",
-                "type": "IMAGE",
-                "links": [
-                  253
-                ]
-              },
-              {
-                "localized_name": "audio",
-                "name": "audio",
-                "type": "AUDIO",
-                "links": [
-                  259
-                ]
-              },
-              {
-                "localized_name": "fps",
-                "name": "fps",
-                "type": "FLOAT",
-                "links": [
-                  260
-                ]
-              }
-            ],
-            "properties": {
-              "Node name for S&R": "GetVideoComponents",
-              "cnr_id": "comfy-core",
-              "ver": "0.19.3",
-              "enableTabs": false,
-              "tabWidth": 65,
-              "tabXOffset": 10,
-              "hasSecondTab": false,
-              "secondTabText": "Send Back",
-              "secondTabOffset": 80,
-              "secondTabWidth": 65
-            }
-          },
-          {
-            "id": 129,
-            "type": "Note",
-            "pos": [
-              -1980,
-              -2790
-            ],
-            "size": [
-              370,
-              250
-            ],
-            "flags": {},
-            "order": 0,
-            "mode": 0,
-            "inputs": [],
-            "outputs": [],
-            "title": "Note: Prompt format",
-            "properties": {},
-            "widgets_values": [
-              "Max tokens for this model is only 32, to separately prompt multiple subjects you can separate prompts with comma, and set the max amount of objects detected for each prompt with :N\n\nFor example above test prompt finds 2 cakes, one apron, 4 window panels"
-            ],
-            "color": "#432",
-            "bgcolor": "#653"
-          }
-        ],
-        "groups": [],
-        "links": [
-          {
-            "id": 237,
-            "origin_id": 127,
-            "origin_slot": 0,
-            "target_id": 126,
-            "target_slot": 0,
-            "type": "MODEL"
-          },
-          {
-            "id": 200,
-            "origin_id": 125,
-            "origin_slot": 0,
-            "target_id": 126,
-            "target_slot": 2,
-            "type": "CONDITIONING"
-          },
-          {
-            "id": 240,
-            "origin_id": 127,
-            "origin_slot": 1,
-            "target_id": 125,
-            "target_slot": 0,
-            "type": "CLIP"
-          },
-          {
-            "id": 231,
-            "origin_id": 126,
-            "origin_slot": 0,
-            "target_id": -20,
-            "target_slot": 0,
-            "type": "MASK"
-          },
-          {
-            "id": 232,
-            "origin_id": 126,
-            "origin_slot": 1,
-            "target_id": -20,
-            "target_slot": 1,
-            "type": "BOUNDING_BOX"
-          },
-          {
-            "id": 252,
-            "origin_id": -10,
-            "origin_slot": 0,
-            "target_id": 128,
-            "target_slot": 0,
-            "type": "VIDEO"
-          },
-          {
-            "id": 253,
-            "origin_id": 128,
-            "origin_slot": 0,
-            "target_id": 126,
-            "target_slot": 1,
-            "type": "IMAGE"
-          },
-          {
-            "id": 254,
-            "origin_id": -10,
-            "origin_slot": 1,
-            "target_id": 125,
-            "target_slot": 1,
-            "type": "STRING"
-          },
-          {
-            "id": 255,
-            "origin_id": -10,
-            "origin_slot": 2,
-            "target_id": 126,
-            "target_slot": 3,
-            "type": "BOUNDING_BOX"
-          },
-          {
-            "id": 256,
-            "origin_id": -10,
-            "origin_slot": 3,
-            "target_id": 126,
-            "target_slot": 4,
-            "type": "STRING"
-          },
-          {
-            "id": 257,
-            "origin_id": -10,
-            "origin_slot": 4,
-            "target_id": 126,
-            "target_slot": 5,
-            "type": "STRING"
-          },
-          {
-            "id": 259,
-            "origin_id": 128,
-            "origin_slot": 1,
-            "target_id": -20,
-            "target_slot": 2,
-            "type": "AUDIO"
-          },
-          {
-            "id": 260,
-            "origin_id": 128,
-            "origin_slot": 2,
-            "target_id": -20,
-            "target_slot": 3,
-            "type": "FLOAT"
-          },
-          {
-            "id": 261,
-            "origin_id": -10,
-            "origin_slot": 5,
-            "target_id": 126,
-            "target_slot": 6,
-            "type": "FLOAT"
-          },
-          {
-            "id": 262,
-            "origin_id": -10,
-            "origin_slot": 6,
-            "target_id": 126,
-            "target_slot": 7,
-            "type": "INT"
-          },
-          {
-            "id": 263,
-            "origin_id": -10,
-            "origin_slot": 7,
-            "target_id": 126,
-            "target_slot": 8,
-            "type": "BOOLEAN"
-          },
-          {
-            "id": 273,
-            "origin_id": -10,
-            "origin_slot": 8,
-            "target_id": 127,
-            "target_slot": 0,
-            "type": "COMBO"
-          }
-        ],
-        "extra": {},
-        "category": "Video Tools",
-        "description": "Segments video into temporally consistent masks using Meta SAM3 from text or interactive prompts."
-      }
-    ]
-  },
-  "extra": {}
-}

blueprints/Video Upscale(GAN x4).json

@@ -1,421 +1 @@
-{
-  "revision": 0,
-  "last_node_id": 13,
-  "last_link_id": 0,
-  "nodes": [
-    {
-      "id": 13,
-      "type": "cf95b747-3e17-46cb-8097-cac60ff9b2e1",
-      "pos": [
-        1120,
-        330
-      ],
-      "size": [
-        240,
-        58
-      ],
-      "flags": {},
-      "order": 3,
-      "mode": 0,
-      "inputs": [
-        {
-          "localized_name": "video",
-          "name": "video",
-          "type": "VIDEO",
-          "link": null
-        },
-        {
-          "name": "model_name",
-          "type": "COMBO",
-          "widget": {
-            "name": "model_name"
-          },
-          "link": null
-        }
-      ],
-      "outputs": [
-        {
-          "localized_name": "VIDEO",
-          "name": "VIDEO",
-          "type": "VIDEO",
-          "links": []
-        }
-      ],
-      "title": "Video Upscale(GAN x4)",
-      "properties": {
-        "proxyWidgets": [
-          [
-            "-1",
-            "model_name"
-          ]
-        ],
-        "cnr_id": "comfy-core",
-        "ver": "0.14.1"
-      },
-      "widgets_values": [
-        "RealESRGAN_x4plus.safetensors"
-      ]
-    }
-  ],
-  "links": [],
-  "version": 0.4,
-  "definitions": {
-    "subgraphs": [
-      {
-        "id": "cf95b747-3e17-46cb-8097-cac60ff9b2e1",
-        "version": 1,
-        "state": {
-          "lastGroupId": 0,
-          "lastNodeId": 13,
-          "lastLinkId": 19,
-          "lastRerouteId": 0
-        },
-        "revision": 0,
-        "config": {},
-        "name": "Video Upscale(GAN x4)",
-        "inputNode": {
-          "id": -10,
-          "bounding": [
-            550,
-            460,
-            120,
-            80
-          ]
-        },
-        "outputNode": {
-          "id": -20,
-          "bounding": [
-            1490,
-            460,
-            120,
-            60
-          ]
-        },
-        "inputs": [
-          {
-            "id": "666d633e-93e7-42dc-8d11-2b7b99b0f2a6",
-            "name": "video",
-            "type": "VIDEO",
-            "linkIds": [
-              10
-            ],
-            "localized_name": "video",
-            "pos": [
-              650,
-              480
-            ]
-          },
-          {
-            "id": "2e23a087-caa8-4d65-99e6-662761aa905a",
-            "name": "model_name",
-            "type": "COMBO",
-            "linkIds": [
-              19
-            ],
-            "pos": [
-              650,
-              500
-            ]
-          }
-        ],
-        "outputs": [
-          {
-            "id": "0c1768ea-3ec2-412f-9af6-8e0fa36dae70",
-            "name": "VIDEO",
-            "type": "VIDEO",
-            "linkIds": [
-              15
-            ],
-            "localized_name": "VIDEO",
-            "pos": [
-              1510,
-              480
-            ]
-          }
-        ],
-        "widgets": [],
-        "nodes": [
-          {
-            "id": 2,
-            "type": "ImageUpscaleWithModel",
-            "pos": [
-              1110,
-              450
-            ],
-            "size": [
-              320,
-              46
-            ],
-            "flags": {},
-            "order": 1,
-            "mode": 0,
-            "inputs": [
-              {
-                "localized_name": "upscale_model",
-                "name": "upscale_model",
-                "type": "UPSCALE_MODEL",
-                "link": 1
-              },
-              {
-                "localized_name": "image",
-                "name": "image",
-                "type": "IMAGE",
-                "link": 14
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "IMAGE",
-                "name": "IMAGE",
-                "type": "IMAGE",
-                "links": [
-                  13
-                ]
-              }
-            ],
-            "properties": {
-              "cnr_id": "comfy-core",
-              "ver": "0.10.0",
-              "Node name for S&R": "ImageUpscaleWithModel"
-            }
-          },
-          {
-            "id": 11,
-            "type": "CreateVideo",
-            "pos": [
-              1110,
-              550
-            ],
-            "size": [
-              320,
-              78
-            ],
-            "flags": {},
-            "order": 3,
-            "mode": 0,
-            "inputs": [
-              {
-                "localized_name": "images",
-                "name": "images",
-                "type": "IMAGE",
-                "link": 13
-              },
-              {
-                "localized_name": "audio",
-                "name": "audio",
-                "shape": 7,
-                "type": "AUDIO",
-                "link": 16
-              },
-              {
-                "localized_name": "fps",
-                "name": "fps",
-                "type": "FLOAT",
-                "widget": {
-                  "name": "fps"
-                },
-                "link": 12
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "VIDEO",
-                "name": "VIDEO",
-                "type": "VIDEO",
-                "links": [
-                  15
-                ]
-              }
-            ],
-            "properties": {
-              "cnr_id": "comfy-core",
-              "ver": "0.10.0",
-              "Node name for S&R": "CreateVideo"
-            },
-            "widgets_values": [
-              30
-            ]
-          },
-          {
-            "id": 10,
-            "type": "GetVideoComponents",
-            "pos": [
-              1110,
-              330
-            ],
-            "size": [
-              320,
-              70
-            ],
-            "flags": {},
-            "order": 2,
-            "mode": 0,
-            "inputs": [
-              {
-                "localized_name": "video",
-                "name": "video",
-                "type": "VIDEO",
-                "link": 10
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "images",
-                "name": "images",
-                "type": "IMAGE",
-                "links": [
-                  14
-                ]
-              },
-              {
-                "localized_name": "audio",
-                "name": "audio",
-                "type": "AUDIO",
-                "links": [
-                  16
-                ]
-              },
-              {
-                "localized_name": "fps",
-                "name": "fps",
-                "type": "FLOAT",
-                "links": [
-                  12
-                ]
-              }
-            ],
-            "properties": {
-              "cnr_id": "comfy-core",
-              "ver": "0.10.0",
-              "Node name for S&R": "GetVideoComponents"
-            }
-          },
-          {
-            "id": 1,
-            "type": "UpscaleModelLoader",
-            "pos": [
-              750,
-              450
-            ],
-            "size": [
-              280,
-              60
-            ],
-            "flags": {},
-            "order": 0,
-            "mode": 0,
-            "inputs": [
-              {
-                "localized_name": "model_name",
-                "name": "model_name",
-                "type": "COMBO",
-                "widget": {
-                  "name": "model_name"
-                },
-                "link": 19
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "UPSCALE_MODEL",
-                "name": "UPSCALE_MODEL",
-                "type": "UPSCALE_MODEL",
-                "links": [
-                  1
-                ]
-              }
-            ],
-            "properties": {
-              "cnr_id": "comfy-core",
-              "ver": "0.10.0",
-              "Node name for S&R": "UpscaleModelLoader",
-              "models": [
-                {
-                  "name": "RealESRGAN_x4plus.safetensors",
-                  "url": "https://huggingface.co/Comfy-Org/Real-ESRGAN_repackaged/resolve/main/RealESRGAN_x4plus.safetensors",
-                  "directory": "upscale_models"
-                }
-              ]
-            },
-            "widgets_values": [
-              "RealESRGAN_x4plus.safetensors"
-            ]
-          }
-        ],
-        "groups": [],
-        "links": [
-          {
-            "id": 1,
-            "origin_id": 1,
-            "origin_slot": 0,
-            "target_id": 2,
-            "target_slot": 0,
-            "type": "UPSCALE_MODEL"
-          },
-          {
-            "id": 14,
-            "origin_id": 10,
-            "origin_slot": 0,
-            "target_id": 2,
-            "target_slot": 1,
-            "type": "IMAGE"
-          },
-          {
-            "id": 13,
-            "origin_id": 2,
-            "origin_slot": 0,
-            "target_id": 11,
-            "target_slot": 0,
-            "type": "IMAGE"
-          },
-          {
-            "id": 16,
-            "origin_id": 10,
-            "origin_slot": 1,
-            "target_id": 11,
-            "target_slot": 1,
-            "type": "AUDIO"
-          },
-          {
-            "id": 12,
-            "origin_id": 10,
-            "origin_slot": 2,
-            "target_id": 11,
-            "target_slot": 2,
-            "type": "FLOAT"
-          },
-          {
-            "id": 10,
-            "origin_id": -10,
-            "origin_slot": 0,
-            "target_id": 10,
-            "target_slot": 0,
-            "type": "VIDEO"
-          },
-          {
-            "id": 15,
-            "origin_id": 11,
-            "origin_slot": 0,
-            "target_id": -20,
-            "target_slot": 0,
-            "type": "VIDEO"
-          },
-          {
-            "id": 19,
-            "origin_id": -10,
-            "origin_slot": 1,
-            "target_id": 1,
-            "target_slot": 0,
-            "type": "COMBO"
-          }
-        ],
-        "extra": {
-          "workflowRendererVersion": "LG"
-        },
-        "category": "Video generation and editing/Enhance video",
-        "description": "Upscales video to 4× resolution using a GAN-based upscaling model."
-      }
-    ]
-  },
-  "extra": {}
-}
+{"revision": 0, "last_node_id": 13, "last_link_id": 0, "nodes": [{"id": 13, "type": "cf95b747-3e17-46cb-8097-cac60ff9b2e1", "pos": [1120, 330], "size": [240, 58], "flags": {}, "order": 3, "mode": 0, "inputs": [{"localized_name": "video", "name": "video", "type": "VIDEO", "link": null}, {"name": "model_name", "type": "COMBO", "widget": {"name": "model_name"}, "link": null}], "outputs": [{"localized_name": "VIDEO", "name": "VIDEO", "type": "VIDEO", "links": []}], "title": "Video Upscale(GAN x4)", "properties": {"proxyWidgets": [["-1", "model_name"]], "cnr_id": "comfy-core", "ver": "0.14.1"}, "widgets_values": ["RealESRGAN_x4plus.safetensors"]}], "links": [], "version": 0.4, "definitions": {"subgraphs": [{"id": "cf95b747-3e17-46cb-8097-cac60ff9b2e1", "version": 1, "state": {"lastGroupId": 0, "lastNodeId": 13, "lastLinkId": 19, "lastRerouteId": 0}, "revision": 0, "config": {}, "name": "Video Upscale(GAN x4)", "inputNode": {"id": -10, "bounding": [550, 460, 120, 80]}, "outputNode": {"id": -20, "bounding": [1490, 460, 120, 60]}, "inputs": [{"id": "666d633e-93e7-42dc-8d11-2b7b99b0f2a6", "name": "video", "type": "VIDEO", "linkIds": [10], "localized_name": "video", "pos": [650, 480]}, {"id": "2e23a087-caa8-4d65-99e6-662761aa905a", "name": "model_name", "type": "COMBO", "linkIds": [19], "pos": [650, 500]}], "outputs": [{"id": "0c1768ea-3ec2-412f-9af6-8e0fa36dae70", "name": "VIDEO", "type": "VIDEO", "linkIds": [15], "localized_name": "VIDEO", "pos": [1510, 480]}], "widgets": [], "nodes": [{"id": 2, "type": "ImageUpscaleWithModel", "pos": [1110, 450], "size": [320, 46], "flags": {}, "order": 1, "mode": 0, "inputs": [{"localized_name": "upscale_model", "name": "upscale_model", "type": "UPSCALE_MODEL", "link": 1}, {"localized_name": "image", "name": "image", "type": "IMAGE", "link": 14}], "outputs": [{"localized_name": "IMAGE", "name": "IMAGE", "type": "IMAGE", "links": [13]}], "properties": {"cnr_id": "comfy-core", "ver": "0.10.0", "Node name for S&R": "ImageUpscaleWithModel"}}, {"id": 11, "type": "CreateVideo", "pos": [1110, 550], "size": [320, 78], "flags": {}, "order": 3, "mode": 0, "inputs": [{"localized_name": "images", "name": "images", "type": "IMAGE", "link": 13}, {"localized_name": "audio", "name": "audio", "shape": 7, "type": "AUDIO", "link": 16}, {"localized_name": "fps", "name": "fps", "type": "FLOAT", "widget": {"name": "fps"}, "link": 12}], "outputs": [{"localized_name": "VIDEO", "name": "VIDEO", "type": "VIDEO", "links": [15]}], "properties": {"cnr_id": "comfy-core", "ver": "0.10.0", "Node name for S&R": "CreateVideo"}, "widgets_values": [30]}, {"id": 10, "type": "GetVideoComponents", "pos": [1110, 330], "size": [320, 70], "flags": {}, "order": 2, "mode": 0, "inputs": [{"localized_name": "video", "name": "video", "type": "VIDEO", "link": 10}], "outputs": [{"localized_name": "images", "name": "images", "type": "IMAGE", "links": [14]}, {"localized_name": "audio", "name": "audio", "type": "AUDIO", "links": [16]}, {"localized_name": "fps", "name": "fps", "type": "FLOAT", "links": [12]}], "properties": {"cnr_id": "comfy-core", "ver": "0.10.0", "Node name for S&R": "GetVideoComponents"}}, {"id": 1, "type": "UpscaleModelLoader", "pos": [750, 450], "size": [280, 60], "flags": {}, "order": 0, "mode": 0, "inputs": [{"localized_name": "model_name", "name": "model_name", "type": "COMBO", "widget": {"name": "model_name"}, "link": 19}], "outputs": [{"localized_name": "UPSCALE_MODEL", "name": "UPSCALE_MODEL", "type": "UPSCALE_MODEL", "links": [1]}], "properties": {"cnr_id": "comfy-core", "ver": "0.10.0", "Node name for S&R": "UpscaleModelLoader", "models": [{"name": "RealESRGAN_x4plus.safetensors", "url": "https://huggingface.co/Comfy-Org/Real-ESRGAN_repackaged/resolve/main/RealESRGAN_x4plus.safetensors", "directory": "upscale_models"}]}, "widgets_values": ["RealESRGAN_x4plus.safetensors"]}], "groups": [], "links": [{"id": 1, "origin_id": 1, "origin_slot": 0, "target_id": 2, "target_slot": 0, "type": "UPSCALE_MODEL"}, {"id": 14, "origin_id": 10, "origin_slot": 0, "target_id": 2, "target_slot": 1, "type": "IMAGE"}, {"id": 13, "origin_id": 2, "origin_slot": 0, "target_id": 11, "target_slot": 0, "type": "IMAGE"}, {"id": 16, "origin_id": 10, "origin_slot": 1, "target_id": 11, "target_slot": 1, "type": "AUDIO"}, {"id": 12, "origin_id": 10, "origin_slot": 2, "target_id": 11, "target_slot": 2, "type": "FLOAT"}, {"id": 10, "origin_id": -10, "origin_slot": 0, "target_id": 10, "target_slot": 0, "type": "VIDEO"}, {"id": 15, "origin_id": 11, "origin_slot": 0, "target_id": -20, "target_slot": 0, "type": "VIDEO"}, {"id": 19, "origin_id": -10, "origin_slot": 1, "target_id": 1, "target_slot": 0, "type": "COMBO"}], "extra": {"workflowRendererVersion": "LG"}, "category": "Video generation and editing/Enhance video"}]}, "extra": {}}

comfy/background_removal/birefnet.json

@@ -1,7 +0,0 @@
-{
-    "model_type": "birefnet",
-    "image_std": [1.0, 1.0, 1.0],
-    "image_mean": [0.0, 0.0, 0.0],
-    "image_size": 1024,
-    "resize_to_original": true
-}

comfy/background_removal/birefnet.py

@@ -1,689 +0,0 @@
-import torch
-import comfy.ops
-import numpy as np
-import torch.nn as nn
-from functools import partial
-import torch.nn.functional as F
-from torchvision.ops import deform_conv2d
-from comfy.ldm.modules.attention import optimized_attention_for_device
-
-CXT = [3072, 1536, 768, 384][1:][::-1][-3:]
-
-class Attention(nn.Module):
-    def __init__(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, device=None, dtype=None, operations=None):
-        super().__init__()
-
-        self.dim = dim
-        self.num_heads = num_heads
-        head_dim = dim // num_heads
-        self.scale = qk_scale or head_dim ** -0.5
-
-        self.q = operations.Linear(dim, dim, bias=qkv_bias, device=device, dtype=dtype)
-        self.kv = operations.Linear(dim, dim * 2, bias=qkv_bias, device=device, dtype=dtype)
-        self.proj = operations.Linear(dim, dim, device=device, dtype=dtype)
-
-    def forward(self, x):
-        B, N, C = x.shape
-        optimized_attention = optimized_attention_for_device(x.device, mask=False, small_input=True)
-        q = self.q(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3)
-        kv = self.kv(x).reshape(B, -1, 2, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4)
-        k, v = kv[0], kv[1]
-
-        x = optimized_attention(
-            q, k, v, heads=self.num_heads, skip_output_reshape=True, skip_reshape=True
-        ).transpose(1, 2).reshape(B, N, C)
-        x = self.proj(x)
-
-        return x
-
-class Mlp(nn.Module):
-    def __init__(self, in_features, hidden_features=None, out_features=None, device=None, dtype=None, operations=None):
-        super().__init__()
-        out_features = out_features or in_features
-        hidden_features = hidden_features or in_features
-        self.fc1 = operations.Linear(in_features, hidden_features, device=device, dtype=dtype)
-        self.act = nn.GELU()
-        self.fc2 = operations.Linear(hidden_features, out_features, device=device, dtype=dtype)
-
-    def forward(self, x):
-        x = self.fc1(x)
-        x = self.act(x)
-        x = self.fc2(x)
-        return x
-
-
-def window_partition(x, window_size):
-    B, H, W, C = x.shape
-    x = x.view(B, H // window_size, window_size, W // window_size, window_size, C)
-    windows = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(-1, window_size, window_size, C)
-    return windows
-
-
-def window_reverse(windows, window_size, H, W):
-    B = int(windows.shape[0] / (H * W / window_size / window_size))
-    x = windows.view(B, H // window_size, W // window_size, window_size, window_size, -1)
-    x = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(B, H, W, -1)
-    return x
-
-
-class WindowAttention(nn.Module):
-    def __init__(self, dim, window_size, num_heads, qkv_bias=True, qk_scale=None, device=None, dtype=None, operations=None):
-
-        super().__init__()
-        self.dim = dim
-        self.window_size = window_size  # Wh, Ww
-        self.num_heads = num_heads
-        head_dim = dim // num_heads
-        self.scale = qk_scale or head_dim ** -0.5
-
-        self.relative_position_bias_table = nn.Parameter(
-            torch.zeros((2 * window_size[0] - 1) * (2 * window_size[1] - 1), num_heads, device=device, dtype=dtype))
-
-        coords_h = torch.arange(self.window_size[0])
-        coords_w = torch.arange(self.window_size[1])
-        coords = torch.stack(torch.meshgrid([coords_h, coords_w], indexing='ij'))  # 2, Wh, Ww
-        coords_flatten = torch.flatten(coords, 1)  # 2, Wh*Ww
-        relative_coords = coords_flatten[:, :, None] - coords_flatten[:, None, :]  # 2, Wh*Ww, Wh*Ww
-        relative_coords = relative_coords.permute(1, 2, 0).contiguous()  # Wh*Ww, Wh*Ww, 2
-        relative_coords[:, :, 0] += self.window_size[0] - 1
-        relative_coords[:, :, 1] += self.window_size[1] - 1
-        relative_coords[:, :, 0] *= 2 * self.window_size[1] - 1
-        relative_position_index = relative_coords.sum(-1)  # Wh*Ww, Wh*Ww
-        self.register_buffer("relative_position_index", relative_position_index)
-
-        self.qkv = operations.Linear(dim, dim * 3, bias=qkv_bias, device=device, dtype=dtype)
-        self.proj = operations.Linear(dim, dim, device=device, dtype=dtype)
-        self.softmax = nn.Softmax(dim=-1)
-
-    def forward(self, x, mask=None):
-        B_, N, C = x.shape
-        qkv = self.qkv(x).reshape(B_, N, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4)
-        q, k, v = qkv[0], qkv[1], qkv[2]
-
-        q = q * self.scale
-        attn = (q @ k.transpose(-2, -1))
-
-        relative_position_bias = self.relative_position_bias_table[self.relative_position_index.long().view(-1)].view(
-            self.window_size[0] * self.window_size[1], self.window_size[0] * self.window_size[1], -1)  # Wh*Ww,Wh*Ww,nH
-        relative_position_bias = relative_position_bias.permute(2, 0, 1).contiguous()  # nH, Wh*Ww, Wh*Ww
-        attn = attn + relative_position_bias.unsqueeze(0)
-
-        if mask is not None:
-            nW = mask.shape[0]
-            attn = attn.view(B_ // nW, nW, self.num_heads, N, N) + mask.unsqueeze(1).unsqueeze(0)
-            attn = attn.view(-1, self.num_heads, N, N)
-            attn = self.softmax(attn)
-        else:
-            attn = self.softmax(attn)
-
-        x = (attn @ v).transpose(1, 2).reshape(B_, N, C)
-        x = self.proj(x)
-        return x
-
-
-class SwinTransformerBlock(nn.Module):
-    def __init__(self, dim, num_heads, window_size=7, shift_size=0,
-                 mlp_ratio=4., qkv_bias=True, qk_scale=None,
-                 norm_layer=nn.LayerNorm, device=None, dtype=None, operations=None):
-        super().__init__()
-        self.dim = dim
-        self.num_heads = num_heads
-        self.window_size = window_size
-        self.shift_size = shift_size
-        self.mlp_ratio = mlp_ratio
-
-        self.norm1 = norm_layer(dim, device=device, dtype=dtype)
-        self.attn = WindowAttention(
-            dim, window_size=(self.window_size, self.window_size), num_heads=num_heads,
-            qkv_bias=qkv_bias, qk_scale=qk_scale, device=device, dtype=dtype, operations=operations)
-
-        self.norm2 = norm_layer(dim, device=device, dtype=dtype)
-        mlp_hidden_dim = int(dim * mlp_ratio)
-        self.mlp = Mlp(in_features=dim, hidden_features=mlp_hidden_dim, device=device, dtype=dtype, operations=operations)
-
-        self.H = None
-        self.W = None
-
-    def forward(self, x, mask_matrix):
-        B, L, C = x.shape
-        H, W = self.H, self.W
-
-        shortcut = x
-        x = self.norm1(x)
-        x = x.view(B, H, W, C)
-
-        pad_l = pad_t = 0
-        pad_r = (self.window_size - W % self.window_size) % self.window_size
-        pad_b = (self.window_size - H % self.window_size) % self.window_size
-        x = F.pad(x, (0, 0, pad_l, pad_r, pad_t, pad_b))
-        _, Hp, Wp, _ = x.shape
-
-        if self.shift_size > 0:
-            shifted_x = torch.roll(x, shifts=(-self.shift_size, -self.shift_size), dims=(1, 2))
-            attn_mask = mask_matrix
-        else:
-            shifted_x = x
-            attn_mask = None
-
-        x_windows = window_partition(shifted_x, self.window_size)
-        x_windows = x_windows.view(-1, self.window_size * self.window_size, C)
-
-        attn_windows = self.attn(x_windows, mask=attn_mask)
-
-        attn_windows = attn_windows.view(-1, self.window_size, self.window_size, C)
-        shifted_x = window_reverse(attn_windows, self.window_size, Hp, Wp)  # B H' W' C
-
-        if self.shift_size > 0:
-            x = torch.roll(shifted_x, shifts=(self.shift_size, self.shift_size), dims=(1, 2))
-        else:
-            x = shifted_x
-
-        if pad_r > 0 or pad_b > 0:
-            x = x[:, :H, :W, :].contiguous()
-
-        x = x.view(B, H * W, C)
-
-        x = shortcut + x
-        x = x + self.mlp(self.norm2(x))
-
-        return x
-
-
-class PatchMerging(nn.Module):
-    def __init__(self, dim, device=None, dtype=None, operations=None):
-        super().__init__()
-        self.dim = dim
-        self.reduction = operations.Linear(4 * dim, 2 * dim, bias=False, device=device, dtype=dtype)
-        self.norm = operations.LayerNorm(4 * dim, device=device, dtype=dtype)
-
-    def forward(self, x, H, W):
-        B, L, C = x.shape
-        x = x.view(B, H, W, C)
-
-        # padding
-        pad_input = (H % 2 == 1) or (W % 2 == 1)
-        if pad_input:
-            x = F.pad(x, (0, 0, 0, W % 2, 0, H % 2))
-
-        x0 = x[:, 0::2, 0::2, :]  # B H/2 W/2 C
-        x1 = x[:, 1::2, 0::2, :]  # B H/2 W/2 C
-        x2 = x[:, 0::2, 1::2, :]  # B H/2 W/2 C
-        x3 = x[:, 1::2, 1::2, :]  # B H/2 W/2 C
-        x = torch.cat([x0, x1, x2, x3], -1)  # B H/2 W/2 4*C
-        x = x.view(B, -1, 4 * C)  # B H/2*W/2 4*C
-
-        x = self.norm(x)
-        x = self.reduction(x)
-
-        return x
-
-
-class BasicLayer(nn.Module):
-    def __init__(self,
-                 dim,
-                 depth,
-                 num_heads,
-                 window_size=7,
-                 mlp_ratio=4.,
-                 qkv_bias=True,
-                 qk_scale=None,
-                 norm_layer=nn.LayerNorm,
-                 downsample=None,
-                 device=None, dtype=None, operations=None):
-        super().__init__()
-        self.window_size = window_size
-        self.shift_size = window_size // 2
-        self.depth = depth
-
-        # build blocks
-        self.blocks = nn.ModuleList([
-            SwinTransformerBlock(
-                dim=dim,
-                num_heads=num_heads,
-                window_size=window_size,
-                shift_size=0 if (i % 2 == 0) else window_size // 2,
-                mlp_ratio=mlp_ratio,
-                qkv_bias=qkv_bias,
-                qk_scale=qk_scale,
-                norm_layer=norm_layer,
-                device=device, dtype=dtype, operations=operations)
-            for i in range(depth)])
-
-        # patch merging layer
-        if downsample is not None:
-            self.downsample = downsample(dim=dim, device=device, dtype=dtype, operations=operations)
-        else:
-            self.downsample = None
-
-    def forward(self, x, H, W):
-        Hp = int(np.ceil(H / self.window_size)) * self.window_size
-        Wp = int(np.ceil(W / self.window_size)) * self.window_size
-        img_mask = torch.zeros((1, Hp, Wp, 1), device=x.device)  # 1 Hp Wp 1
-        h_slices = (slice(0, -self.window_size),
-                    slice(-self.window_size, -self.shift_size),
-                    slice(-self.shift_size, None))
-        w_slices = (slice(0, -self.window_size),
-                    slice(-self.window_size, -self.shift_size),
-                    slice(-self.shift_size, None))
-        cnt = 0
-        for h in h_slices:
-            for w in w_slices:
-                img_mask[:, h, w, :] = cnt
-                cnt += 1
-
-        mask_windows = window_partition(img_mask, self.window_size)
-        mask_windows = mask_windows.view(-1, self.window_size * self.window_size)
-        attn_mask = mask_windows.unsqueeze(1) - mask_windows.unsqueeze(2)
-        attn_mask = attn_mask.masked_fill(attn_mask != 0, float(-100.0)).masked_fill(attn_mask == 0, float(0.0))
-
-        for blk in self.blocks:
-            blk.H, blk.W = H, W
-            x = blk(x, attn_mask)
-        if self.downsample is not None:
-            x_down = self.downsample(x, H, W)
-            Wh, Ww = (H + 1) // 2, (W + 1) // 2
-            return x, H, W, x_down, Wh, Ww
-        else:
-            return x, H, W, x, H, W
-
-
-class PatchEmbed(nn.Module):
-    def __init__(self, patch_size=4, in_channels=3, embed_dim=96, norm_layer=None, device=None, dtype=None, operations=None):
-        super().__init__()
-        patch_size = (patch_size, patch_size)
-        self.patch_size = patch_size
-
-        self.in_channels = in_channels
-        self.embed_dim = embed_dim
-
-        self.proj = operations.Conv2d(in_channels, embed_dim, kernel_size=patch_size, stride=patch_size, device=device, dtype=dtype)
-        if norm_layer is not None:
-            self.norm = norm_layer(embed_dim, device=device, dtype=dtype)
-        else:
-            self.norm = None
-
-    def forward(self, x):
-        _, _, H, W = x.size()
-        if W % self.patch_size[1] != 0:
-            x = F.pad(x, (0, self.patch_size[1] - W % self.patch_size[1]))
-        if H % self.patch_size[0] != 0:
-            x = F.pad(x, (0, 0, 0, self.patch_size[0] - H % self.patch_size[0]))
-
-        x = self.proj(x)  # B C Wh Ww
-        if self.norm is not None:
-            Wh, Ww = x.size(2), x.size(3)
-            x = x.flatten(2).transpose(1, 2)
-            x = self.norm(x)
-            x = x.transpose(1, 2).view(-1, self.embed_dim, Wh, Ww)
-
-        return x
-
-
-class SwinTransformer(nn.Module):
-    def __init__(self,
-                 pretrain_img_size=224,
-                 patch_size=4,
-                 in_channels=3,
-                 embed_dim=96,
-                 depths=[2, 2, 6, 2],
-                 num_heads=[3, 6, 12, 24],
-                 window_size=7,
-                 mlp_ratio=4.,
-                 qkv_bias=True,
-                 qk_scale=None,
-                 patch_norm=True,
-                 out_indices=(0, 1, 2, 3),
-                 frozen_stages=-1,
-                 device=None, dtype=None, operations=None):
-        super().__init__()
-
-        norm_layer = partial(operations.LayerNorm, device=device, dtype=dtype)
-        self.pretrain_img_size = pretrain_img_size
-        self.num_layers = len(depths)
-        self.embed_dim = embed_dim
-        self.patch_norm = patch_norm
-        self.out_indices = out_indices
-        self.frozen_stages = frozen_stages
-
-        self.patch_embed = PatchEmbed(
-            patch_size=patch_size, in_channels=in_channels, embed_dim=embed_dim,
-            device=device, dtype=dtype, operations=operations,
-            norm_layer=norm_layer if self.patch_norm else None)
-
-        self.layers = nn.ModuleList()
-        for i_layer in range(self.num_layers):
-            layer = BasicLayer(
-                dim=int(embed_dim * 2 ** i_layer),
-                depth=depths[i_layer],
-                num_heads=num_heads[i_layer],
-                window_size=window_size,
-                mlp_ratio=mlp_ratio,
-                qkv_bias=qkv_bias,
-                qk_scale=qk_scale,
-                norm_layer=norm_layer,
-                downsample=PatchMerging if (i_layer < self.num_layers - 1) else None,
-                device=device, dtype=dtype, operations=operations)
-            self.layers.append(layer)
-
-        num_features = [int(embed_dim * 2 ** i) for i in range(self.num_layers)]
-        self.num_features = num_features
-
-        for i_layer in out_indices:
-            layer = norm_layer(num_features[i_layer])
-            layer_name = f'norm{i_layer}'
-            self.add_module(layer_name, layer)
-
-
-    def forward(self, x):
-        x = self.patch_embed(x)
-
-        Wh, Ww = x.size(2), x.size(3)
-
-        outs = []
-        x = x.flatten(2).transpose(1, 2)
-        for i in range(self.num_layers):
-            layer = self.layers[i]
-            x_out, H, W, x, Wh, Ww = layer(x, Wh, Ww)
-
-            if i in self.out_indices:
-                norm_layer = getattr(self, f'norm{i}')
-                x_out = norm_layer(x_out)
-
-                out = x_out.view(-1, H, W, self.num_features[i]).permute(0, 3, 1, 2).contiguous()
-                outs.append(out)
-
-        return tuple(outs)
-
-class DeformableConv2d(nn.Module):
-    def __init__(self,
-                 in_channels,
-                 out_channels,
-                 kernel_size=3,
-                 stride=1,
-                 padding=1,
-                 bias=False, device=None, dtype=None, operations=None):
-
-        super(DeformableConv2d, self).__init__()
-
-        kernel_size = kernel_size if type(kernel_size) is tuple else (kernel_size, kernel_size)
-        self.stride = stride if type(stride) is tuple else (stride, stride)
-        self.padding = padding
-
-        self.offset_conv = operations.Conv2d(in_channels,
-                                     2 * kernel_size[0] * kernel_size[1],
-                                     kernel_size=kernel_size,
-                                     stride=stride,
-                                     padding=self.padding,
-                                     bias=True, device=device, dtype=dtype)
-
-        self.modulator_conv = operations.Conv2d(in_channels,
-                                     1 * kernel_size[0] * kernel_size[1],
-                                     kernel_size=kernel_size,
-                                     stride=stride,
-                                     padding=self.padding,
-                                     bias=True, device=device, dtype=dtype)
-
-        self.regular_conv = operations.Conv2d(in_channels,
-                                      out_channels=out_channels,
-                                      kernel_size=kernel_size,
-                                      stride=stride,
-                                      padding=self.padding,
-                                      bias=bias, device=device, dtype=dtype)
-
-    def forward(self, x):
-        offset = self.offset_conv(x)
-        modulator = 2. * torch.sigmoid(self.modulator_conv(x))
-        weight, bias, offload_info = comfy.ops.cast_bias_weight(self.regular_conv, x, offloadable=True)
-
-        x = deform_conv2d(
-            input=x,
-            offset=offset,
-            weight=weight,
-            bias=None,
-            padding=self.padding,
-            mask=modulator,
-            stride=self.stride,
-        )
-        comfy.ops.uncast_bias_weight(self.regular_conv, weight, bias, offload_info)
-        return x
-
-class BasicDecBlk(nn.Module):
-    def __init__(self, in_channels=64, out_channels=64, inter_channels=64, device=None, dtype=None, operations=None):
-        super(BasicDecBlk, self).__init__()
-        inter_channels = 64
-        self.conv_in = operations.Conv2d(in_channels, inter_channels, 3, 1, padding=1, device=device, dtype=dtype)
-        self.relu_in = nn.ReLU(inplace=True)
-        self.dec_att = ASPPDeformable(in_channels=inter_channels, device=device, dtype=dtype, operations=operations)
-        self.conv_out = operations.Conv2d(inter_channels, out_channels, 3, 1, padding=1, device=device, dtype=dtype)
-        self.bn_in = operations.BatchNorm2d(inter_channels, device=device, dtype=dtype)
-        self.bn_out = operations.BatchNorm2d(out_channels, device=device, dtype=dtype)
-
-    def forward(self, x):
-        x = self.conv_in(x)
-        x = self.bn_in(x)
-        x = self.relu_in(x)
-        x = self.dec_att(x)
-        x = self.conv_out(x)
-        x = self.bn_out(x)
-        return x
-
-
-class BasicLatBlk(nn.Module):
-    def __init__(self, in_channels=64, out_channels=64, device=None, dtype=None, operations=None):
-        super(BasicLatBlk, self).__init__()
-        self.conv = operations.Conv2d(in_channels, out_channels, 1, 1, 0, device=device, dtype=dtype)
-
-    def forward(self, x):
-        x = self.conv(x)
-        return x
-
-
-class _ASPPModuleDeformable(nn.Module):
-    def __init__(self, in_channels, planes, kernel_size, padding, device, dtype, operations):
-        super(_ASPPModuleDeformable, self).__init__()
-        self.atrous_conv = DeformableConv2d(in_channels, planes, kernel_size=kernel_size,
-                                            stride=1, padding=padding, bias=False, device=device, dtype=dtype, operations=operations)
-        self.bn = operations.BatchNorm2d(planes, device=device, dtype=dtype)
-        self.relu = nn.ReLU(inplace=True)
-
-    def forward(self, x):
-        x = self.atrous_conv(x)
-        x = self.bn(x)
-
-        return self.relu(x)
-
-
-class ASPPDeformable(nn.Module):
-    def __init__(self, in_channels, out_channels=None, parallel_block_sizes=[1, 3, 7], device=None, dtype=None, operations=None):
-        super(ASPPDeformable, self).__init__()
-        self.down_scale = 1
-        if out_channels is None:
-            out_channels = in_channels
-        self.in_channelster = 256 // self.down_scale
-
-        self.aspp1 = _ASPPModuleDeformable(in_channels, self.in_channelster, 1, padding=0, device=device, dtype=dtype, operations=operations)
-        self.aspp_deforms = nn.ModuleList([
-            _ASPPModuleDeformable(in_channels, self.in_channelster, conv_size, padding=int(conv_size//2), device=device, dtype=dtype, operations=operations)
-              for conv_size in parallel_block_sizes
-        ])
-
-        self.global_avg_pool = nn.Sequential(nn.AdaptiveAvgPool2d((1, 1)),
-                                             operations.Conv2d(in_channels, self.in_channelster, 1, stride=1, bias=False, device=device, dtype=dtype),
-                                             operations.BatchNorm2d(self.in_channelster, device=device, dtype=dtype),
-                                             nn.ReLU(inplace=True))
-        self.conv1 = operations.Conv2d(self.in_channelster * (2 + len(self.aspp_deforms)), out_channels, 1, bias=False, device=device, dtype=dtype)
-        self.bn1 = operations.BatchNorm2d(out_channels, device=device, dtype=dtype)
-        self.relu = nn.ReLU(inplace=True)
-
-    def forward(self, x):
-        x1 = self.aspp1(x)
-        x_aspp_deforms = [aspp_deform(x) for aspp_deform in self.aspp_deforms]
-        x5 = self.global_avg_pool(x)
-        x5 = F.interpolate(x5, size=x1.size()[2:], mode='bilinear', align_corners=True)
-        x = torch.cat((x1, *x_aspp_deforms, x5), dim=1)
-
-        x = self.conv1(x)
-        x = self.bn1(x)
-        x = self.relu(x)
-
-        return x
-
-class BiRefNet(nn.Module):
-    def __init__(self, config=None, dtype=None, device=None, operations=None):
-        super(BiRefNet, self).__init__()
-        self.bb = SwinTransformer(embed_dim=192, depths=[2, 2, 18, 2], num_heads=[6, 12, 24, 48], window_size=12, device=device, dtype=dtype, operations=operations)
-
-        channels = [1536, 768, 384, 192]
-        channels = [c * 2 for c in channels]
-        self.cxt = channels[1:][::-1][-3:]
-        self.squeeze_module = nn.Sequential(*[
-            BasicDecBlk(channels[0]+sum(self.cxt), channels[0], device=device, dtype=dtype, operations=operations)
-            for _ in range(1)
-        ])
-
-        self.decoder = Decoder(channels, device=device, dtype=dtype, operations=operations)
-
-    def forward_enc(self, x):
-        x1, x2, x3, x4 = self.bb(x)
-        B, C, H, W = x.shape
-        x1_, x2_, x3_, x4_ = self.bb(F.interpolate(x, size=(H//2, W//2), mode='bilinear', align_corners=True))
-        x1 = torch.cat([x1, F.interpolate(x1_, size=x1.shape[2:], mode='bilinear', align_corners=True)], dim=1)
-        x2 = torch.cat([x2, F.interpolate(x2_, size=x2.shape[2:], mode='bilinear', align_corners=True)], dim=1)
-        x3 = torch.cat([x3, F.interpolate(x3_, size=x3.shape[2:], mode='bilinear', align_corners=True)], dim=1)
-        x4 = torch.cat([x4, F.interpolate(x4_, size=x4.shape[2:], mode='bilinear', align_corners=True)], dim=1)
-        x4 = torch.cat(
-            (
-                *[
-                    F.interpolate(x1, size=x4.shape[2:], mode='bilinear', align_corners=True),
-                    F.interpolate(x2, size=x4.shape[2:], mode='bilinear', align_corners=True),
-                    F.interpolate(x3, size=x4.shape[2:], mode='bilinear', align_corners=True),
-                ][-len(CXT):],
-                x4
-            ),
-            dim=1
-        )
-        return (x1, x2, x3, x4)
-
-    def forward_ori(self, x):
-        (x1, x2, x3, x4) = self.forward_enc(x)
-        x4 = self.squeeze_module(x4)
-        features = [x, x1, x2, x3, x4]
-        scaled_preds = self.decoder(features)
-        return scaled_preds
-
-    def forward(self, pixel_values, intermediate_output=None):
-        scaled_preds = self.forward_ori(pixel_values)
-        return scaled_preds
-
-
-class Decoder(nn.Module):
-    def __init__(self, channels, device, dtype, operations):
-        super(Decoder, self).__init__()
-        # factory kwargs
-        fk = {"device":device, "dtype":dtype, "operations":operations}
-        DecoderBlock = partial(BasicDecBlk, **fk)
-        LateralBlock = partial(BasicLatBlk, **fk)
-        DBlock = partial(SimpleConvs, **fk)
-
-        self.split = True
-        N_dec_ipt = 64
-        ic = 64
-        ipt_cha_opt = 1
-        self.ipt_blk5 = DBlock(2**10*3 if self.split else 3, [N_dec_ipt, channels[0]//8][ipt_cha_opt], inter_channels=ic)
-        self.ipt_blk4 = DBlock(2**8*3 if self.split else 3, [N_dec_ipt, channels[0]//8][ipt_cha_opt], inter_channels=ic)
-        self.ipt_blk3 = DBlock(2**6*3 if self.split else 3, [N_dec_ipt, channels[1]//8][ipt_cha_opt], inter_channels=ic)
-        self.ipt_blk2 = DBlock(2**4*3 if self.split else 3, [N_dec_ipt, channels[2]//8][ipt_cha_opt], inter_channels=ic)
-        self.ipt_blk1 = DBlock(2**0*3 if self.split else 3, [N_dec_ipt, channels[3]//8][ipt_cha_opt], inter_channels=ic)
-
-        self.decoder_block4 = DecoderBlock(channels[0]+([N_dec_ipt, channels[0]//8][ipt_cha_opt]), channels[1])
-        self.decoder_block3 = DecoderBlock(channels[1]+([N_dec_ipt, channels[0]//8][ipt_cha_opt]), channels[2])
-        self.decoder_block2 = DecoderBlock(channels[2]+([N_dec_ipt, channels[1]//8][ipt_cha_opt]), channels[3])
-        self.decoder_block1 = DecoderBlock(channels[3]+([N_dec_ipt, channels[2]//8][ipt_cha_opt]), channels[3]//2)
-
-        fk = {"device":device, "dtype":dtype}
-
-        self.conv_out1 = nn.Sequential(operations.Conv2d(channels[3]//2+([N_dec_ipt, channels[3]//8][ipt_cha_opt]), 1, 1, 1, 0, **fk))
-
-        self.lateral_block4 = LateralBlock(channels[1], channels[1])
-        self.lateral_block3 = LateralBlock(channels[2], channels[2])
-        self.lateral_block2 = LateralBlock(channels[3], channels[3])
-
-        self.conv_ms_spvn_4 = operations.Conv2d(channels[1], 1, 1, 1, 0, **fk)
-        self.conv_ms_spvn_3 = operations.Conv2d(channels[2], 1, 1, 1, 0, **fk)
-        self.conv_ms_spvn_2 = operations.Conv2d(channels[3], 1, 1, 1, 0, **fk)
-
-        _N = 16
-
-        self.gdt_convs_4 = nn.Sequential(operations.Conv2d(channels[0] // 2, _N, 3, 1, 1, **fk), operations.BatchNorm2d(_N, **fk), nn.ReLU(inplace=True))
-        self.gdt_convs_3 = nn.Sequential(operations.Conv2d(channels[1] // 2, _N, 3, 1, 1, **fk), operations.BatchNorm2d(_N, **fk), nn.ReLU(inplace=True))
-        self.gdt_convs_2 = nn.Sequential(operations.Conv2d(channels[2] // 2, _N, 3, 1, 1, **fk), operations.BatchNorm2d(_N, **fk), nn.ReLU(inplace=True))
-
-        [setattr(self, f"gdt_convs_pred_{i}", nn.Sequential(operations.Conv2d(_N, 1, 1, 1, 0, **fk))) for i in range(2, 5)]
-        [setattr(self, f"gdt_convs_attn_{i}", nn.Sequential(operations.Conv2d(_N, 1, 1, 1, 0, **fk))) for i in range(2, 5)]
-
-    def get_patches_batch(self, x, p):
-        _size_h, _size_w = p.shape[2:]
-        patches_batch = []
-        for idx in range(x.shape[0]):
-            columns_x = torch.split(x[idx], split_size_or_sections=_size_w, dim=-1)
-            patches_x = []
-            for column_x in columns_x:
-                patches_x += [p.unsqueeze(0) for p in torch.split(column_x, split_size_or_sections=_size_h, dim=-2)]
-            patch_sample = torch.cat(patches_x, dim=1)
-            patches_batch.append(patch_sample)
-        return torch.cat(patches_batch, dim=0)
-
-    def forward(self, features):
-        x, x1, x2, x3, x4 = features
-
-        patches_batch = self.get_patches_batch(x, x4) if self.split else x
-        x4 = torch.cat((x4, self.ipt_blk5(F.interpolate(patches_batch, size=x4.shape[2:], mode='bilinear', align_corners=True))), 1)
-        p4 = self.decoder_block4(x4)
-        p4_gdt = self.gdt_convs_4(p4)
-        gdt_attn_4 = self.gdt_convs_attn_4(p4_gdt).sigmoid()
-        p4 = p4 * gdt_attn_4
-        _p4 = F.interpolate(p4, size=x3.shape[2:], mode='bilinear', align_corners=True)
-        _p3 = _p4 + self.lateral_block4(x3)
-
-        patches_batch = self.get_patches_batch(x, _p3) if self.split else x
-        _p3 = torch.cat((_p3, self.ipt_blk4(F.interpolate(patches_batch, size=x3.shape[2:], mode='bilinear', align_corners=True))), 1)
-        p3 = self.decoder_block3(_p3)
-
-        p3_gdt = self.gdt_convs_3(p3)
-        gdt_attn_3 = self.gdt_convs_attn_3(p3_gdt).sigmoid()
-        p3 = p3 * gdt_attn_3
-        _p3 = F.interpolate(p3, size=x2.shape[2:], mode='bilinear', align_corners=True)
-        _p2 = _p3 + self.lateral_block3(x2)
-
-        patches_batch = self.get_patches_batch(x, _p2) if self.split else x
-        _p2 = torch.cat((_p2, self.ipt_blk3(F.interpolate(patches_batch, size=x2.shape[2:], mode='bilinear', align_corners=True))), 1)
-        p2 = self.decoder_block2(_p2)
-
-        p2_gdt = self.gdt_convs_2(p2)
-        gdt_attn_2 = self.gdt_convs_attn_2(p2_gdt).sigmoid()
-        p2 = p2 * gdt_attn_2
-
-        _p2 = F.interpolate(p2, size=x1.shape[2:], mode='bilinear', align_corners=True)
-        _p1 = _p2 + self.lateral_block2(x1)
-
-        patches_batch = self.get_patches_batch(x, _p1) if self.split else x
-        _p1 = torch.cat((_p1, self.ipt_blk2(F.interpolate(patches_batch, size=x1.shape[2:], mode='bilinear', align_corners=True))), 1)
-        _p1 = self.decoder_block1(_p1)
-        _p1 = F.interpolate(_p1, size=x.shape[2:], mode='bilinear', align_corners=True)
-
-        patches_batch = self.get_patches_batch(x, _p1) if self.split else x
-        _p1 = torch.cat((_p1, self.ipt_blk1(F.interpolate(patches_batch, size=x.shape[2:], mode='bilinear', align_corners=True))), 1)
-        p1_out = self.conv_out1(_p1)
-        return p1_out
-
-
-class SimpleConvs(nn.Module):
-    def __init__(
-        self, in_channels: int, out_channels: int, inter_channels=64, device=None, dtype=None, operations=None
-    ) -> None:
-        super().__init__()
-        self.conv1 = operations.Conv2d(in_channels, inter_channels, 3, 1, 1, device=device, dtype=dtype)
-        self.conv_out = operations.Conv2d(inter_channels, out_channels, 3, 1, 1, device=device, dtype=dtype)
-
-    def forward(self, x):
-        return self.conv_out(self.conv1(x))

comfy/bg_removal_model.py

@@ -1,78 +0,0 @@
-from .utils import load_torch_file
-import os
-import json
-import torch
-import logging
-
-import comfy.ops
-import comfy.model_patcher
-import comfy.model_management
-import comfy.clip_model
-import comfy.background_removal.birefnet
-
-BG_REMOVAL_MODELS = {
-    "birefnet": comfy.background_removal.birefnet.BiRefNet
-}
-
-class BackgroundRemovalModel():
-    def __init__(self, json_config):
-        with open(json_config) as f:
-            config = json.load(f)
-
-        self.image_size = config.get("image_size", 1024)
-        self.image_mean = config.get("image_mean", [0.0, 0.0, 0.0])
-        self.image_std = config.get("image_std", [1.0, 1.0, 1.0])
-        self.model_type = config.get("model_type", "birefnet")
-        self.config = config.copy()
-        model_class = BG_REMOVAL_MODELS.get(self.model_type)
-
-        self.load_device = comfy.model_management.text_encoder_device()
-        offload_device = comfy.model_management.text_encoder_offload_device()
-        self.dtype = comfy.model_management.text_encoder_dtype(self.load_device)
-        self.model = model_class(config, self.dtype, offload_device, comfy.ops.manual_cast)
-        self.model.eval()
-
-        self.patcher = comfy.model_patcher.CoreModelPatcher(self.model, load_device=self.load_device, offload_device=offload_device)
-
-    def load_sd(self, sd):
-        return self.model.load_state_dict(sd, strict=False, assign=self.patcher.is_dynamic())
-
-    def get_sd(self):
-        return self.model.state_dict()
-
-    def encode_image(self, image):
-        comfy.model_management.load_model_gpu(self.patcher)
-        H, W = image.shape[1], image.shape[2]
-        pixel_values = comfy.clip_model.clip_preprocess(image.to(self.load_device), size=self.image_size, mean=self.image_mean, std=self.image_std, crop=False)
-        out = self.model(pixel_values=pixel_values)
-        out = torch.nn.functional.interpolate(out, size=(H, W), mode="bicubic", antialias=False)
-
-        mask = out.sigmoid().to(device=comfy.model_management.intermediate_device(), dtype=comfy.model_management.intermediate_dtype())
-        if mask.ndim == 3:
-            mask = mask.unsqueeze(0)
-        if mask.shape[1] != 1:
-            mask = mask.movedim(-1, 1)
-
-        return mask
-
-
-def load_background_removal_model(sd):
-    if "bb.layers.1.blocks.0.attn.relative_position_index" in sd:
-        json_config = os.path.join(os.path.join(os.path.dirname(os.path.realpath(__file__)), "background_removal"), "birefnet.json")
-    else:
-        return None
-
-    bg_model = BackgroundRemovalModel(json_config)
-    m, u = bg_model.load_sd(sd)
-    if len(m) > 0:
-        logging.warning("missing background removal: {}".format(m))
-    u = set(u)
-    keys = list(sd.keys())
-    for k in keys:
-        if k not in u:
-            sd.pop(k)
-    return bg_model
-
-def load(ckpt_path):
-    sd = load_torch_file(ckpt_path)
-    return load_background_removal_model(sd)

comfy/cli_args.py

@@ -90,8 +90,8 @@ parser.add_argument("--force-channels-last", action="store_true", help="Force ch
 parser.add_argument("--directml", type=int, nargs="?", metavar="DIRECTML_DEVICE", const=-1, help="Use torch-directml.")
 
 parser.add_argument("--oneapi-device-selector", type=str, default=None, metavar="SELECTOR_STRING", help="Sets the oneAPI device(s) this instance will use.")
+parser.add_argument("--disable-ipex-optimize", action="store_true", help="Disables ipex.optimize default when loading models with Intel's Extension for Pytorch.")
 parser.add_argument("--supports-fp8-compute", action="store_true", help="ComfyUI will act like if the device supports fp8 compute.")
-parser.add_argument("--enable-triton-backend", action="store_true", help="ComfyUI will enable the use of Triton backend in comfy-kitchen. Is disabled at launch by default.")
 
 class LatentPreviewMethod(enum.Enum):
     NoPreviews = "none"
@@ -110,13 +110,11 @@ parser.add_argument("--preview-method", type=LatentPreviewMethod, default=Latent
 
 parser.add_argument("--preview-size", type=int, default=512, help="Sets the maximum preview size for sampler nodes.")
 
-CACHE_RAM_AUTO_GB = -1.0
-
 cache_group = parser.add_mutually_exclusive_group()
 cache_group.add_argument("--cache-classic", action="store_true", help="Use the old style (aggressive) caching.")
 cache_group.add_argument("--cache-lru", type=int, default=0, help="Use LRU caching with a maximum of N node results cached. May use more RAM/VRAM.")
 cache_group.add_argument("--cache-none", action="store_true", help="Reduced RAM/VRAM usage at the expense of executing every node for each run.")
-cache_group.add_argument("--cache-ram", nargs='?', const=CACHE_RAM_AUTO_GB, type=float, default=0, help="Use RAM pressure caching with the specified headroom threshold. If available RAM drops below the threshold the cache removes large items to free RAM. Default (when no value is provided): 25%% of system RAM (min 4GB, max 32GB).")
+cache_group.add_argument("--cache-ram", nargs='?', const=4.0, type=float, default=0, help="Use RAM pressure caching with the specified headroom threshold. If available RAM drops below the threhold the cache remove large items to free RAM. Default 4GB")
 
 attn_group = parser.add_mutually_exclusive_group()
 attn_group.add_argument("--use-split-cross-attention", action="store_true", help="Use the split cross attention optimization. Ignored when xformers is used.")
@@ -238,8 +236,6 @@ database_default_path = os.path.abspath(
 )
 parser.add_argument("--database-url", type=str, default=f"sqlite:///{database_default_path}", help="Specify the database URL, e.g. for an in-memory database you can use 'sqlite:///:memory:'.")
 parser.add_argument("--enable-assets", action="store_true", help="Enable the assets system (API routes, database synchronization, and background scanning).")
-parser.add_argument("--feature-flag", type=str, action='append', default=[], metavar="KEY[=VALUE]", help="Set a server feature flag. Use KEY=VALUE to set an explicit value, or bare KEY to set it to true. Can be specified multiple times. Boolean values (true/false) and numbers are auto-converted. Examples: --feature-flag show_signin_button=true  or  --feature-flag show_signin_button")
-parser.add_argument("--list-feature-flags", action="store_true", help="Print the registry of known CLI-settable feature flags as JSON and exit.")
 
 if comfy.options.args_parsing:
     args = parser.parse_args()