feat: implement RemoteComboOptions for rich remote-populated combos

Signed-off-by: bigcat88 <bigcat88@icloud.com>

.github/workflows/backport_release.yaml

@@ -1,519 +0,0 @@
-name: Backport Release
-
-on:
-  workflow_dispatch:
-    inputs:
-      commit:
-        description: 'Full 40-char SHA of the tip commit of the backport source branch (the PR head commit that passed tests). The branch is resolved from this SHA and must be unique.'
-        required: true
-        type: string
-
-permissions:
-  contents: read
-  pull-requests: read
-  checks: read
-
-jobs:
-  backport-release:
-    name: Create backport release
-    runs-on: ubuntu-latest
-    environment: backport release
-
-    steps:
-      - name: Generate GitHub App token
-        id: app-token
-        uses: actions/create-github-app-token@bcd2ba49218906704ab6c1aa796996da409d3eb1
-        with:
-          app-id: ${{ secrets.FEN_RELEASE_APP_ID }}
-          private-key: ${{ secrets.FEN_RELEASE_PRIVATE_KEY }}
-
-      - name: Checkout repository
-        uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd
-        with:
-          token: ${{ steps.app-token.outputs.token }}
-          fetch-depth: 0
-          fetch-tags: true
-
-      - name: Configure git
-        run: |
-          git config user.name  "fen-release[bot]"
-          git config user.email "fen-release[bot]@users.noreply.github.com"
-
-      - name: Resolve source branch from commit SHA
-        id: resolve
-        env:
-          SOURCE_COMMIT:  ${{ inputs.commit }}
-          DEFAULT_BRANCH: ${{ github.event.repository.default_branch }}
-        run: |
-          set -euo pipefail
-
-          # Require a full 40-char lowercase-hex SHA. Short SHAs are ambiguous
-          # and we will be comparing this value against API responses (PR head
-          # SHA, ref tips) that always return the full form.
-          if [[ ! "${SOURCE_COMMIT}" =~ ^[0-9a-f]{40}$ ]]; then
-            echo "::error::Input commit '${SOURCE_COMMIT}' is not a full 40-char lowercase hex SHA."
-            exit 1
-          fi
-
-          # Fetch all remote branches so we can search for which one(s) point
-          # at this SHA. `actions/checkout` with fetch-depth: 0 fetches full
-          # history of the checked-out ref but does not necessarily populate
-          # every refs/remotes/origin/*, so do it explicitly.
-          git fetch --prune origin '+refs/heads/*:refs/remotes/origin/*'
-
-          # Verify the commit actually exists in this repo's object DB.
-          if ! git cat-file -e "${SOURCE_COMMIT}^{commit}" 2>/dev/null; then
-            echo "::error::Commit ${SOURCE_COMMIT} was not found in the repository."
-            exit 1
-          fi
-
-          # Find every remote branch whose tip == SOURCE_COMMIT. Exactly one
-          # branch must point at it. If zero, the commit isn't anyone's tip
-          # (likely stale, force-pushed past, or never the PR head). If more
-          # than one, the (branch -> SHA) mapping is ambiguous and we refuse
-          # to guess — the operator must give us a unique branch to release.
-          mapfile -t matching_branches < <(
-            git for-each-ref \
-              --format='%(refname:strip=3)' \
-              --points-at="${SOURCE_COMMIT}" \
-              refs/remotes/origin/ \
-              | grep -vx 'HEAD' || true
-          )
-
-          if [[ "${#matching_branches[@]}" -eq 0 ]]; then
-            echo "::error::No branch on origin has ${SOURCE_COMMIT} as its tip."
-            echo "::error::Either the branch was updated after you copied this SHA, or this commit was never the head of a branch."
-            exit 1
-          fi
-
-          if [[ "${#matching_branches[@]}" -gt 1 ]]; then
-            echo "::error::More than one branch on origin has ${SOURCE_COMMIT} as its tip; cannot pick one:"
-            for b in "${matching_branches[@]}"; do
-              echo "::error::  - ${b}"
-            done
-            echo "::error::Refusing to proceed with an ambiguous source branch."
-            exit 1
-          fi
-
-          source_branch="${matching_branches[0]}"
-
-          if [[ "${source_branch}" == "${DEFAULT_BRANCH}" ]]; then
-            echo "::error::Source branch must not be the default branch ('${DEFAULT_BRANCH}')."
-            exit 1
-          fi
-
-          echo "Resolved commit ${SOURCE_COMMIT} to branch '${source_branch}'."
-          echo "source_branch=${source_branch}" >> "$GITHUB_OUTPUT"
-
-      - name: Determine latest stable release
-        id: latest
-        env:
-          GH_TOKEN: ${{ steps.app-token.outputs.token }}
-        run: |
-          set -euo pipefail
-
-          # List all tags matching vMAJOR.MINOR.PATCH and pick the highest by numeric
-          # comparison of each component. We DO NOT use `sort -V` because it treats
-          # v0.19.99 as higher than v0.20.1.
-          latest_tag="$(
-            git tag --list 'v[0-9]*.[0-9]*.[0-9]*' \
-              | grep -E '^v[0-9]+\.[0-9]+\.[0-9]+$' \
-              | awk -F'[v.]' '{ printf "%010d %010d %010d %s\n", $2, $3, $4, $0 }' \
-              | sort -k1,1n -k2,2n -k3,3n \
-              | tail -n1 \
-              | awk '{print $4}'
-          )"
-
-          if [[ -z "${latest_tag}" ]]; then
-            echo "::error::No stable release tags (vMAJOR.MINOR.PATCH) were found."
-            exit 1
-          fi
-
-          # Parse components
-          ver="${latest_tag#v}"
-          major="${ver%%.*}"
-          rest="${ver#*.}"
-          minor="${rest%%.*}"
-          patch="${rest#*.}"
-
-          new_patch=$((patch + 1))
-          new_version="v${major}.${minor}.${new_patch}"
-          release_branch="release/v${major}.${minor}"
-
-          latest_sha="$(git rev-list -n 1 "refs/tags/${latest_tag}")"
-
-          echo "latest_tag=${latest_tag}"             >> "$GITHUB_OUTPUT"
-          echo "latest_sha=${latest_sha}"             >> "$GITHUB_OUTPUT"
-          echo "major=${major}"                       >> "$GITHUB_OUTPUT"
-          echo "minor=${minor}"                       >> "$GITHUB_OUTPUT"
-          echo "patch=${patch}"                       >> "$GITHUB_OUTPUT"
-          echo "new_version=${new_version}"           >> "$GITHUB_OUTPUT"
-          echo "new_version_no_v=${major}.${minor}.${new_patch}" >> "$GITHUB_OUTPUT"
-          echo "release_branch=${release_branch}"     >> "$GITHUB_OUTPUT"
-
-          echo "Latest stable release: ${latest_tag} (${latest_sha})"
-          echo "New version will be:   ${new_version}"
-          echo "Release branch:        ${release_branch}"
-
-      - name: Validate source branch is cut directly from the latest stable release
-        env:
-          SOURCE_BRANCH:   ${{ steps.resolve.outputs.source_branch }}
-          SOURCE_COMMIT:   ${{ inputs.commit }}
-          LATEST_TAG_SHA:  ${{ steps.latest.outputs.latest_sha }}
-          LATEST_TAG:      ${{ steps.latest.outputs.latest_tag }}
-        run: |
-          set -euo pipefail
-
-          # Use the user-provided SHA directly rather than re-resolving the branch
-          # tip — the resolve step already proved the branch tip equals SOURCE_COMMIT,
-          # and pinning to the SHA here makes the rest of the job TOCTOU-safe against
-          # someone pushing to the branch mid-run.
-          source_sha="${SOURCE_COMMIT}"
-
-          # Walking first-parent from the source tip must reach LATEST_TAG_SHA.
-          # We capture rev-list into a variable and grep against a here-string
-          # rather than piping `rev-list | grep -q`: under `set -o pipefail`,
-          # `grep -q` would exit on first match and SIGPIPE the still-streaming
-          # `rev-list`, propagating exit 141 as a spurious "not found".
-          first_parent_chain="$(git rev-list --first-parent "${source_sha}")"
-          if ! grep -Fxq "${LATEST_TAG_SHA}" <<< "${first_parent_chain}"; then
-            echo "::error::Source branch '${SOURCE_BRANCH}' is not cut from '${LATEST_TAG}'."
-            echo "::error::Its first-parent history does not include ${LATEST_TAG_SHA}."
-            exit 1
-          fi
-
-          # Additionally, every commit added on top of the tag (the set we are
-          # about to publish) must itself be a descendant of the tag along
-          # first-parent — i.e. no sibling commits from master sneak in via a
-          # non-first-parent path. Enforce by requiring that the symmetric
-          # difference is empty in one direction: commits in source that are
-          # NOT first-parent-reachable from source starting at the tag.
-          # We do this by intersecting:
-          #   A = commits reachable from source but not from tag (full DAG)
-          #   B = commits on the first-parent chain from source down to tag
-          # and requiring A == B.
-          all_added="$(git rev-list "${LATEST_TAG_SHA}..${source_sha}" | sort)"
-          first_parent_added="$(
-            git rev-list --first-parent "${LATEST_TAG_SHA}..${source_sha}" | sort
-          )"
-
-          if [[ "${all_added}" != "${first_parent_added}" ]]; then
-            echo "::error::Source branch '${SOURCE_BRANCH}' contains commits not on its first-parent chain from '${LATEST_TAG}'."
-            echo "::error::This usually means the branch was cut from master (not from the tag) or contains a merge from master."
-            echo "Commits reachable but not on first-parent chain:"
-            comm -23 <(printf '%s\n' "${all_added}") <(printf '%s\n' "${first_parent_added}") \
-              | while read -r sha; do
-                  echo "  $(git log -1 --format='%h %s' "${sha}")"
-                done
-            exit 1
-          fi
-
-          added_count="$(printf '%s\n' "${all_added}" | grep -c . || true)"
-          echo "Source branch is cut directly from ${LATEST_TAG} with ${added_count} commit(s) on top."
-
-      - name: Validate PR exists, is open, named correctly, has latest commit, and checks pass
-        env:
-          GH_TOKEN:      ${{ steps.app-token.outputs.token }}
-          SOURCE_BRANCH: ${{ steps.resolve.outputs.source_branch }}
-          SOURCE_COMMIT: ${{ inputs.commit }}
-          NEW_VERSION:   ${{ steps.latest.outputs.new_version }}
-          REPO:          ${{ github.repository }}
-        run: |
-          set -euo pipefail
-
-          expected_title="ComfyUI backport release ${NEW_VERSION}"
-
-          # Find open PRs from this branch into master. The --state open filter
-          # is load-bearing: a closed/merged PR with passing checks must not be
-          # accepted as authorization for a new release.
-          pr_json="$(
-            gh pr list \
-              --repo "${REPO}" \
-              --state open \
-              --head "${SOURCE_BRANCH}" \
-              --base master \
-              --json number,title,headRefOid,state \
-              --limit 10
-          )"
-
-          pr_count="$(echo "${pr_json}" | jq 'length')"
-          if [[ "${pr_count}" -eq 0 ]]; then
-            echo "::error::No open PR found from '${SOURCE_BRANCH}' into 'master'. The PR must exist and be open."
-            exit 1
-          fi
-
-          # Pick the PR matching the expected title
-          pr_number="$(echo "${pr_json}" | jq -r --arg t "${expected_title}" '
-            map(select(.title == $t)) | .[0].number // empty
-          ')"
-          pr_head_sha="$(echo "${pr_json}" | jq -r --arg t "${expected_title}" '
-            map(select(.title == $t)) | .[0].headRefOid // empty
-          ')"
-
-          if [[ -z "${pr_number}" ]]; then
-            echo "::error::No open PR from '${SOURCE_BRANCH}' into 'master' is titled '${expected_title}'."
-            echo "Found PRs:"
-            echo "${pr_json}" | jq -r '.[] | "  #\(.number): \(.title)"'
-            exit 1
-          fi
-
-          # The PR's current head commit must equal the SHA the operator gave us.
-          # This is what closes the door on releasing stale code: if anyone has
-          # pushed to the branch since the operator validated tests passed, the
-          # PR head will have advanced past SOURCE_COMMIT and we abort. (The
-          # resolve step already proved the branch tip == SOURCE_COMMIT; this
-          # ties that same SHA to the PR that authorizes the release.)
-          if [[ "${pr_head_sha}" != "${SOURCE_COMMIT}" ]]; then
-            echo "::error::PR #${pr_number} head commit is ${pr_head_sha}, but the operator-provided commit is ${SOURCE_COMMIT}."
-            echo "::error::The PR has new commits since this release was authorized. Re-run with the new head SHA after verifying its checks."
-            exit 1
-          fi
-
-          echo "Found open PR #${pr_number} titled '${expected_title}' at head ${pr_head_sha} (matches operator-provided commit)."
-
-          # Verify all check runs on the head commit have completed successfully.
-          # A check is considered passing if conclusion is success, neutral, or skipped.
-          checks_json="$(
-            gh api \
-              --paginate \
-              "repos/${REPO}/commits/${pr_head_sha}/check-runs" \
-              --jq '.check_runs[] | {name: .name, status: .status, conclusion: .conclusion}'
-          )"
-
-          if [[ -z "${checks_json}" ]]; then
-            echo "::error::No check runs found on PR head commit ${pr_head_sha}."
-            exit 1
-          fi
-
-          echo "Check runs on ${pr_head_sha}:"
-          echo "${checks_json}" | jq -s '.'
-
-          failing="$(echo "${checks_json}" | jq -s '
-            map(select(
-              .status != "completed"
-              or (.conclusion as $c
-                  | ["success","neutral","skipped"]
-                  | index($c) | not)
-            ))
-          ')"
-
-          failing_count="$(echo "${failing}" | jq 'length')"
-          if [[ "${failing_count}" -gt 0 ]]; then
-            echo "::error::One or more checks have not passed on PR head commit ${pr_head_sha}:"
-            echo "${failing}" | jq -r '.[] | "  - \(.name): status=\(.status) conclusion=\(.conclusion)"'
-            exit 1
-          fi
-
-          echo "All checks have passed on ${pr_head_sha}."
-
-      - name: Prepare release branch
-        id: prepare
-        env:
-          GH_TOKEN:        ${{ steps.app-token.outputs.token }}
-          REPO:            ${{ github.repository }}
-          RELEASE_BRANCH:  ${{ steps.latest.outputs.release_branch }}
-          LATEST_TAG:      ${{ steps.latest.outputs.latest_tag }}
-          LATEST_TAG_SHA:  ${{ steps.latest.outputs.latest_sha }}
-          PATCH:           ${{ steps.latest.outputs.patch }}
-        run: |
-          set -euo pipefail
-
-          # Try to fetch the release branch. If patch == 0, it shouldn't exist yet
-          # and we'll create it from the latest stable tag. If patch > 0, it must
-          # already exist and its tip must equal the latest stable tag commit (i.e.
-          # the previous patch release).
-          if git ls-remote --exit-code --heads origin "${RELEASE_BRANCH}" >/dev/null 2>&1; then
-            echo "Release branch '${RELEASE_BRANCH}' already exists on origin."
-            git fetch origin "refs/heads/${RELEASE_BRANCH}:refs/remotes/origin/${RELEASE_BRANCH}"
-            git checkout -B "${RELEASE_BRANCH}" "refs/remotes/origin/${RELEASE_BRANCH}"
-
-            current_tip="$(git rev-parse HEAD)"
-            if [[ "${current_tip}" != "${LATEST_TAG_SHA}" ]]; then
-              echo "::error::Release branch '${RELEASE_BRANCH}' tip (${current_tip}) is not at the latest stable release '${LATEST_TAG}' (${LATEST_TAG_SHA})."
-              echo "::error::Refusing to release on top of a divergent branch."
-              exit 1
-            fi
-            echo "branch_existed=true" >> "$GITHUB_OUTPUT"
-          else
-            if [[ "${PATCH}" != "0" ]]; then
-              echo "::error::Release branch '${RELEASE_BRANCH}' does not exist on origin, but the latest stable release '${LATEST_TAG}' has patch=${PATCH} (>0). This is inconsistent."
-              exit 1
-            fi
-            echo "Release branch '${RELEASE_BRANCH}' does not exist. Creating from ${LATEST_TAG}."
-            git checkout -B "${RELEASE_BRANCH}" "refs/tags/${LATEST_TAG}"
-            echo "branch_existed=false" >> "$GITHUB_OUTPUT"
-          fi
-
-      - name: Fast-forward merge source branch into release branch
-        env:
-          SOURCE_BRANCH:  ${{ steps.resolve.outputs.source_branch }}
-          SOURCE_COMMIT:  ${{ inputs.commit }}
-          RELEASE_BRANCH: ${{ steps.latest.outputs.release_branch }}
-        run: |
-          set -euo pipefail
-
-          # --ff-only guarantees no merge commit is created. If a fast-forward is
-          # not possible (i.e. the release branch has commits the source branch
-          # doesn't), the merge will fail and we abort. Because we already validated
-          # that the source branch is rooted on the latest stable tag, and the
-          # release branch tip equals that same tag, this fast-forward should
-          # always succeed for a well-formed backport branch.
-          #
-          # We merge the operator-provided SHA, not the branch ref, so a push to
-          # the branch in the window between resolve and now cannot smuggle new
-          # commits into the release.
-          if ! git merge --ff-only "${SOURCE_COMMIT}"; then
-            echo "::error::Cannot fast-forward '${RELEASE_BRANCH}' to ${SOURCE_COMMIT} (tip of '${SOURCE_BRANCH}'). A merge commit would be required. Aborting."
-            exit 1
-          fi
-
-          echo "Fast-forwarded '${RELEASE_BRANCH}' to ${SOURCE_COMMIT} (tip of '${SOURCE_BRANCH}')."
-
-      - name: Bump version files
-        env:
-          NEW_VERSION_NO_V: ${{ steps.latest.outputs.new_version_no_v }}
-        run: |
-          set -euo pipefail
-
-          if [[ ! -f comfyui_version.py ]]; then
-            echo "::error::comfyui_version.py not found in repo root."
-            exit 1
-          fi
-          if [[ ! -f pyproject.toml ]]; then
-            echo "::error::pyproject.toml not found in repo root."
-            exit 1
-          fi
-
-          # Replace the version string in comfyui_version.py.
-          # Expected format:  __version__ = "X.Y.Z"
-          python3 - "$NEW_VERSION_NO_V" <<'PY'
-          import re, sys, pathlib
-          new = sys.argv[1]
-
-          p = pathlib.Path("comfyui_version.py")
-          src = p.read_text()
-          new_src, n = re.subn(
-              r'(__version__\s*=\s*[\'"])[^\'"]+([\'"])',
-              lambda m: f'{m.group(1)}{new}{m.group(2)}',
-              src,
-              count=1,
-          )
-          if n != 1:
-              sys.exit("Could not find __version__ assignment in comfyui_version.py")
-          p.write_text(new_src)
-
-          p = pathlib.Path("pyproject.toml")
-          src = p.read_text()
-          # Replace the first `version = "..."` inside [project] or [tool.poetry].
-          new_src, n = re.subn(
-              r'(?m)^(version\s*=\s*")[^"]+(")',
-              lambda m: f'{m.group(1)}{new}{m.group(2)}',
-              src,
-              count=1,
-          )
-          if n != 1:
-              sys.exit("Could not find version assignment in pyproject.toml")
-          p.write_text(new_src)
-          PY
-
-          echo "Updated version to ${NEW_VERSION_NO_V} in comfyui_version.py and pyproject.toml."
-          git --no-pager diff -- comfyui_version.py pyproject.toml
-
-      - name: Commit version bump and tag release
-        env:
-          NEW_VERSION: ${{ steps.latest.outputs.new_version }}
-        run: |
-          set -euo pipefail
-
-          git add comfyui_version.py pyproject.toml
-          git commit -m "ComfyUI ${NEW_VERSION}"
-
-          if git rev-parse -q --verify "refs/tags/${NEW_VERSION}" >/dev/null; then
-            echo "::error::Tag ${NEW_VERSION} already exists locally."
-            exit 1
-          fi
-          git tag "${NEW_VERSION}"
-
-      - name: Verify tag does not already exist on origin
-        env:
-          NEW_VERSION: ${{ steps.latest.outputs.new_version }}
-        run: |
-          set -euo pipefail
-          if git ls-remote --exit-code --tags origin "refs/tags/${NEW_VERSION}" >/dev/null 2>&1; then
-            echo "::error::Tag ${NEW_VERSION} already exists on origin. Aborting."
-            exit 1
-          fi
-
-      - name: Push release branch and tag
-        env:
-          RELEASE_BRANCH: ${{ steps.latest.outputs.release_branch }}
-          NEW_VERSION:    ${{ steps.latest.outputs.new_version }}
-        run: |
-          set -euo pipefail
-
-          # Push the branch first, then the tag. Atomic-ish: if the branch push
-          # fails we never publish the tag.
-          git push origin "refs/heads/${RELEASE_BRANCH}:refs/heads/${RELEASE_BRANCH}"
-          git push origin "refs/tags/${NEW_VERSION}"
-
-          echo "Released ${NEW_VERSION} on ${RELEASE_BRANCH}."
-
-      - name: Delete remote source branch
-        env:
-          GH_TOKEN:        ${{ steps.app-token.outputs.token }}
-          REPO:            ${{ github.repository }}
-          SOURCE_BRANCH:   ${{ steps.resolve.outputs.source_branch }}
-          SOURCE_COMMIT:   ${{ inputs.commit }}
-          RELEASE_BRANCH:  ${{ steps.latest.outputs.release_branch }}
-          DEFAULT_BRANCH:  ${{ github.event.repository.default_branch }}
-        run: |
-          set -euo pipefail
-
-          # Belt-and-braces: the resolve step already refuses the default branch,
-          # but never delete the default or the release branch under any
-          # circumstances.
-          if [[ "${SOURCE_BRANCH}" == "${DEFAULT_BRANCH}" || "${SOURCE_BRANCH}" == "${RELEASE_BRANCH}" ]]; then
-            echo "::error::Refusing to delete '${SOURCE_BRANCH}' (matches default or release branch)."
-            exit 1
-          fi
-
-          # Delete the source branch on origin, but only if its tip is still the
-          # SHA we released from. If someone pushed new commits to it after we
-          # resolved it, leave it alone — those commits would be silently lost.
-          current_tip="$(git ls-remote origin "refs/heads/${SOURCE_BRANCH}" | awk '{print $1}')"
-          if [[ -z "${current_tip}" ]]; then
-            echo "Source branch '${SOURCE_BRANCH}' no longer exists on origin; nothing to delete."
-            exit 0
-          fi
-          if [[ "${current_tip}" != "${SOURCE_COMMIT}" ]]; then
-            echo "::warning::Source branch '${SOURCE_BRANCH}' tip (${current_tip}) no longer matches released commit (${SOURCE_COMMIT}). Leaving it in place."
-            exit 0
-          fi
-
-          git push origin --delete "refs/heads/${SOURCE_BRANCH}"
-          echo "Deleted remote branch '${SOURCE_BRANCH}'."
-
-      - name: Summary
-        if: always()
-        env:
-          NEW_VERSION:    ${{ steps.latest.outputs.new_version }}
-          RELEASE_BRANCH: ${{ steps.latest.outputs.release_branch }}
-          LATEST_TAG:     ${{ steps.latest.outputs.latest_tag }}
-          SOURCE_BRANCH:  ${{ steps.resolve.outputs.source_branch }}
-          SOURCE_COMMIT:  ${{ inputs.commit }}
-        run: |
-          # SOURCE_BRANCH is empty if the resolve step never produced an output
-          # (e.g. the workflow failed in or before that step). Show a placeholder
-          # in that case so the summary table still renders cleanly.
-          source_branch_display="${SOURCE_BRANCH:-(unresolved)}"
-          {
-            echo "## Backport release"
-            echo ""
-            echo "| Field | Value |"
-            echo "|---|---|"
-            echo "| Source commit | \`${SOURCE_COMMIT}\` |"
-            echo "| Source branch | \`${source_branch_display}\` |"
-            echo "| Previous stable | \`${LATEST_TAG}\` |"
-            echo "| New version | \`${NEW_VERSION}\` |"
-            echo "| Release branch | \`${RELEASE_BRANCH}\` |"
-          } >> "$GITHUB_STEP_SUMMARY"

.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/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

.gitignore

@@ -23,4 +23,3 @@ web_custom_versions/
 .DS_Store
 filtered-openapi.yaml
 uv.lock
-.comfy_environment

.spectral.yaml

@@ -1,100 +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
-
-overrides:
-  # /ws uses HTTP 101 (Switching Protocols) — a legitimate response for a
-  # WebSocket upgrade, but not a 2xx, so operation-success-response fires
-  # as a false positive. OpenAPI 3.x has no native WebSocket support.
-  - files:
-      - "openapi.yaml#/paths/~1ws"
-    rules:
-      operation-success-response: off

CODEOWNERS

@@ -1,5 +1,2 @@
+# Admins
 * @comfyanonymous @kosinkadink @guill @alexisrolland @rattus128 @kijai
-
-/CODEOWNERS @comfyanonymous
-/.ci/ @comfyanonymous
-/.github/ @comfyanonymous

README.md

@@ -20,7 +20,7 @@
 [website-url]: https://www.comfy.org/
 <!-- Workaround to display total user from https://github.com/badges/shields/issues/4500#issuecomment-2060079995 -->
 [discord-shield]: https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fdiscord.com%2Fapi%2Finvites%2Fcomfyorg%3Fwith_counts%3Dtrue&query=%24.approximate_member_count&logo=discord&logoColor=white&label=Discord&color=green&suffix=%20total
-[discord-url]: https://discord.com/invite/comfyorg
+[discord-url]: https://www.comfy.org/discord
 [twitter-shield]: https://img.shields.io/twitter/follow/ComfyUI
 [twitter-url]: https://x.com/ComfyUI
 
@@ -38,7 +38,7 @@
 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](https://www.comfy.org/download), our [portable install](#installing) or on our [cloud](https://www.comfy.org/cloud).
+- 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.
 
@@ -133,7 +133,7 @@ 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.
@@ -429,11 +429,9 @@ Use `--tls-keyfile key.pem --tls-certfile cert.pem` to enable TLS/SSL, the app w
 
 See also: [https://www.comfy.org/](https://www.comfy.org/)
 
-> _psst — we're hiring!_ Help build ComfyUI: [comfy.org/careers](https://www.comfy.org/careers)
-
 ## Frontend Development
 
-As of August 15, 2024, we have transitioned to a new frontend, which is now hosted in a separate repository: [ComfyUI Frontend](https://github.com/Comfy-Org/ComfyUI_frontend). The compiled JS files (from TS/Vue) are published to [pypi](https://pypi.org/project/comfyui-frontend-package) and installed as a dependency in ComfyUI.
+As of August 15, 2024, we have transitioned to a new frontend, which is now hosted in a separate repository: [ComfyUI Frontend](https://github.com/Comfy-Org/ComfyUI_frontend). This repository now hosts the compiled JS (from TS/Vue) under the `web/` directory.
 
 ### Reporting Issues and Requesting Features
 

SECURITY.md

@@ -1,44 +0,0 @@
-# Security Policy
-
-## Scope
-
-ComfyUI is designed to run locally. By default, the server binds to `127.0.0.1`, meaning only the user's own machine can reach it. Our threat model assumes:
-
-- The user installed ComfyUI through a supported channel: the desktop application, the portable build, or a manual install following the README.
-- The user has not installed untrusted custom nodes. Custom nodes are arbitrary Python code and are trusted as much as any other software the user chooses to install.
-- Anyone with access to the ComfyUI URL is trusted (a direct consequence of the localhost-only default).
-- PyTorch and other dependencies are at the versions we ship or recommend in the README.
-
-A report is in scope only if it affects a user operating within this threat model.
-
-## What We Consider a Vulnerability
-
-We want to hear about issues where a **reasonable user** — someone who does not install random untrusted nodes and who reads UI prompts and warnings before clicking through them — can be harmed by ComfyUI itself.
-
-The clearest example: a workflow file that such a user might plausibly load and run, using only built-in nodes, that results in **untrusted code execution, arbitrary file read/write outside expected directories, or credential/data exfiltration**.
-
-When submitting a report, please include a clear description of *why this is a problem for a typical local ComfyUI user*. Reports without this context are difficult to act on.
-
-## What We Do Not Consider a Security Vulnerability
-
-Please report the following through our regular [GitHub issues](https://github.com/comfyanonymous/ComfyUI/issues) instead. Filing them as security reports will likely cause them to be deprioritized or closed.
-
-- **Issues requiring `--listen` or any non-default network exposure.** ComfyUI binds to localhost by default. If a remote attacker needs to reach the server for the attack to work, the user has chosen to expose it and is responsible for securing that deployment (firewall, reverse proxy, authentication, etc.). These are bugs, not vulnerabilities.
-- **`torch.load` and related deserialization issues in old PyTorch versions.** These are upstream PyTorch issues. Our distributions ship with — and our documentation recommends — recent PyTorch versions where these are addressed.
-- **Vulnerabilities that depend on outdated library versions** that we neither ship nor recommend (e.g., requiring PyTorch 2.6 or older).
-- **Issues that require a specific custom node to be installed.** Custom nodes are third-party code. Report these to the maintainer of that node.
-- **Crashes, hangs, or resource exhaustion from a loaded workflow.** Annoying, but not a security issue in our model. File a regular bug.
-- **Social-engineering scenarios** where the user is expected to ignore an explicit UI warning or prompt.
-
-## Reporting
-
-If you believe you have found an issue that falls within the scope above, please report it privately via GitHub's [Report a vulnerability](https://github.com/comfyanonymous/ComfyUI/security/advisories/new) feature rather than opening a public issue.
-
-Please include:
-
-1. A description of the vulnerability and the affected component.
-2. Reproduction steps, ideally with a minimal workflow file or proof-of-concept.
-3. The ComfyUI version, install method (desktop / portable / manual), and OS.
-4. An explanation of how this affects a typical local user as described in the threat model.
-
-We will acknowledge valid reports and coordinate a fix and disclosure timeline with you.

app/assets/api/routes.py

@@ -160,12 +160,10 @@ def _build_asset_response(result: schemas.AssetDetailResult | schemas.UploadResu
             preview_url = None
     else:
         preview_url = _build_preview_url_from_view(result.tags, result.ref.user_metadata)
-    asset_content_hash = result.asset.hash if result.asset else None
     return schemas_out.Asset(
         id=result.ref.id,
         name=result.ref.name,
-        hash=asset_content_hash,
-        asset_hash=asset_content_hash,
+        asset_hash=result.asset.hash if result.asset else None,
         size=int(result.asset.size_bytes) if result.asset else None,
         mime_type=result.asset.mime_type if result.asset else None,
         tags=result.tags,

app/assets/api/schemas_out.py

@@ -10,7 +10,6 @@ class Asset(BaseModel):
 
     id: str
     name: str
-    hash: str | None = None
     asset_hash: str | None = None
     size: int | None = None
     mime_type: str | None = None

app/assets/services/metadata_extract.py

@@ -4,6 +4,7 @@ Tier 1: Filesystem metadata (zero parsing)
 Tier 2: Safetensors header metadata (fast JSON read only)
 """
 
+from __future__ import annotations
 
 import json
 import logging

app/custom_node_manager.py

@@ -1,3 +1,5 @@
+from __future__ import annotations
+
 import os
 import folder_paths
 import glob

app/frontend_management.py

@@ -1,3 +1,4 @@
+from __future__ import annotations
 import argparse
 import logging
 import os
@@ -26,7 +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]:
@@ -37,63 +38,40 @@ def is_valid_version(version: str) -> bool:
     pattern = r"^(\d+)\.(\d+)\.(\d+)$"
     return bool(re.match(pattern, version))
 
+def get_installed_frontend_version():
+    """Get the currently installed frontend package version."""
+    frontend_version_str = version("comfyui-frontend-package")
+    return frontend_version_str
+
+
 def get_required_frontend_version():
     return get_required_packages_versions().get("comfyui-frontend-package", None)
 
 
-COMFY_PACKAGE_VERSIONS = []
-def get_comfy_package_versions():
-    """List installed/required versions for every comfy* package in requirements.txt."""
-    if COMFY_PACKAGE_VERSIONS:
-        return COMFY_PACKAGE_VERSIONS.copy()
-    out = COMFY_PACKAGE_VERSIONS
-    for name, required in (get_required_packages_versions() or {}).items():
-        if not name.startswith("comfy"):
-            continue
-        try:
-            installed = version(name)
-        except Exception:
-            installed = None
-        out.append({"name": name, "installed": installed, "required": required})
-    return out.copy()
+def check_frontend_version():
+    """Check if the frontend version is up to date."""
 
-
-def check_comfy_packages_versions():
-    """Warn for every comfy* package whose installed version is below requirements.txt."""
-    from packaging.version import InvalidVersion, parse as parse_pep440
-    outdated_packages = []
-
-    for pkg in get_comfy_package_versions():
-        installed_str = pkg["installed"]
-        required_str = pkg["required"]
-        if not installed_str or not required_str:
-            continue
-        try:
-            outdated = parse_pep440(installed_str) < parse_pep440(required_str)
-        except InvalidVersion as e:
-            logging.error(f"Failed to check {pkg['name']} version: {e}")
-            continue
-        if outdated:
-            outdated_packages.append((pkg["name"], installed_str, required_str))
-        else:
-            logging.info("{} version: {}".format(pkg["name"], installed_str))
-
-    if outdated_packages:
-        package_warnings = "\n".join(
-            f"Installed {name} version {installed} is lower than the recommended version {required}."
-            for name, installed, required in outdated_packages
-        )
-        app.logger.log_startup_warning(
-            f"""
+    try:
+        frontend_version_str = get_installed_frontend_version()
+        frontend_version = parse_version(frontend_version_str)
+        required_frontend_str = get_required_frontend_version()
+        required_frontend = parse_version(required_frontend_str)
+        if frontend_version < required_frontend:
+            app.logger.log_startup_warning(
+                f"""
 ________________________________________________________________________
 WARNING WARNING WARNING WARNING WARNING
 
-{package_warnings}
+Installed frontend version {".".join(map(str, frontend_version))} is lower than the recommended version {".".join(map(str, required_frontend))}.
 
-{get_missing_requirements_message()}
+{frontend_install_warning_message()}
 ________________________________________________________________________
 """.strip()
-        )
+            )
+        else:
+            logging.info("ComfyUI frontend version: {}".format(frontend_version_str))
+    except Exception as e:
+        logging.error(f"Failed to check frontend version: {e}")
 
 
 REQUEST_TIMEOUT = 10  # seconds
@@ -223,11 +201,6 @@ class FrontendManager:
     def get_required_templates_version(cls) -> str:
         return get_required_packages_versions().get("comfyui-workflow-templates", None)
 
-    @classmethod
-    def get_comfy_package_versions(cls):
-        """List installed/required versions for every comfy* package in requirements.txt."""
-        return get_comfy_package_versions()
-
     @classmethod
     def default_frontend_path(cls) -> str:
         try:
@@ -368,7 +341,7 @@ comfyui-workflow-templates is not installed.
             main error source might be request timeout or invalid URL.
         """
         if version_string == DEFAULT_VERSION_STRING:
-            check_comfy_packages_versions()
+            check_frontend_version()
             return cls.default_frontend_path()
 
         repo_owner, repo_name, version = cls.parse_version_string(version_string)
@@ -430,7 +403,7 @@ comfyui-workflow-templates is not installed.
         except Exception as e:
             logging.error("Failed to initialize frontend: %s", e)
             logging.info("Falling back to the default frontend.")
-            check_comfy_packages_versions()
+            check_frontend_version()
             return cls.default_frontend_path()
     @classmethod
     def template_asset_handler(cls):

app/logger.py

@@ -5,40 +5,6 @@ import logging
 import sys
 import threading
 
-ANSI_NAMED_COLORS = {
-    'black':   '\033[30m',
-    'red':     '\033[31m',
-    'green':   '\033[32m',
-    'yellow':  '\033[33m',
-    'blue':    '\033[34m',
-    'magenta': '\033[35m',
-    'cyan':    '\033[36m',
-    'white':   '\033[37m',
-}
-
-ANSI_LEVEL_COLORS = {
-    'DEBUG':    ANSI_NAMED_COLORS['cyan'],
-    'INFO':     ANSI_NAMED_COLORS['green'],
-    'WARNING':  ANSI_NAMED_COLORS['yellow'],
-    'ERROR':    ANSI_NAMED_COLORS['red'],
-    'CRITICAL': ANSI_NAMED_COLORS['magenta'],
-}
-
-ANSI_RESET = '\033[0m'
-ANSI_BOLD  = '\033[1m'
-
-
-class ColoredFormatter(logging.Formatter):
-    def format(self, record):
-        color = ANSI_LEVEL_COLORS.get(record.levelname, '')
-        bold  = ANSI_BOLD if record.levelno >= logging.WARNING else ''
-        level_tag = f"{bold}{color}[{record.levelname}]{ANSI_RESET} "
-        message = super().format(record)
-        line_color = ANSI_NAMED_COLORS.get(getattr(record, 'color', ''), '')
-        if line_color:
-            return f"{level_tag}{line_color}{message}{ANSI_RESET}"
-        return level_tag + message
-
 logs = None
 stdout_interceptor = None
 stderr_interceptor = None
@@ -102,10 +68,8 @@ def setup_logger(log_level: str = 'INFO', capacity: int = 300, use_stdout: bool
     logger = logging.getLogger()
     logger.setLevel(log_level)
 
-    formatter = ColoredFormatter("%(message)s")
-
     stream_handler = logging.StreamHandler()
-    stream_handler.setFormatter(formatter)
+    stream_handler.setFormatter(logging.Formatter("%(message)s"))
 
     if use_stdout:
         # Only errors and critical to stderr
@@ -113,7 +77,7 @@ def setup_logger(log_level: str = 'INFO', capacity: int = 300, use_stdout: bool
 
         # Lesser to stdout
         stdout_handler = logging.StreamHandler(sys.stdout)
-        stdout_handler.setFormatter(formatter)
+        stdout_handler.setFormatter(logging.Formatter("%(message)s"))
         stdout_handler.addFilter(lambda record: record.levelno < logging.ERROR)
         logger.addHandler(stdout_handler)
 

app/model_manager.py

@@ -1,3 +1,5 @@
+from __future__ import annotations
+
 import os
 import base64
 import json

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

@@ -1,3 +1,4 @@
+from __future__ import annotations
 import json
 import os
 import re
@@ -27,8 +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/Brightness and Contrast.json

@@ -431,10 +431,9 @@
         "extra": {
           "workflowRendererVersion": "LG"
         },
-        "category": "Image Tools/Color adjust",
-        "description": "Adjusts image brightness and contrast using a real-time GPU fragment shader."
+        "category": "Image Tools/Color adjust"
       }
     ]
   },
   "extra": {}
-}
+}

blueprints/Canny to Image (Z-Image-Turbo).json

@@ -162,7 +162,7 @@
         },
         "revision": 0,
         "config": {},
-        "name": "Canny to Image (Z-Image-Turbo)",
+        "name": "local-Canny to Image (Z-Image-Turbo)",
         "inputNode": {
           "id": -10,
           "bounding": [
@@ -1553,8 +1553,7 @@
           "VHS_MetadataImage": true,
           "VHS_KeepIntermediate": true
         },
-        "category": "Image generation and editing/Conditioned",
-        "description": "Generates an image from a Canny edge map using Z-Image-Turbo, with text conditioning."
+        "category": "Image generation and editing/Canny to image"
       }
     ]
   },
@@ -1575,4 +1574,4 @@
     }
   },
   "version": 0.4
-}
+}

blueprints/Canny to Video (LTX 2.0).json

@@ -192,7 +192,7 @@
         },
         "revision": 0,
         "config": {},
-        "name": "Canny to Video (LTX 2.0)",
+        "name": "local-Canny to Video (LTX 2.0)",
         "inputNode": {
           "id": -10,
           "bounding": [
@@ -3600,8 +3600,7 @@
         "extra": {
           "workflowRendererVersion": "LG"
         },
-        "category": "Video generation and editing/Conditioned",
-        "description": "Generates video from Canny edge maps using LTX-2, with optional synchronized audio."
+        "category": "Video generation and editing/Canny to video"
       }
     ]
   },
@@ -3617,4 +3616,4 @@
     }
   },
   "version": 0.4
-}
+}

blueprints/Chromatic Aberration.json

@@ -377,9 +377,8 @@
         "extra": {
           "workflowRendererVersion": "LG"
         },
-        "category": "Image Tools/Color adjust",
-        "description": "Adds lens-style chromatic aberration (color fringing) using a real-time GPU fragment shader."
+        "category": "Image Tools/Color adjust"
       }
     ]
   }
-}
+}

blueprints/Color Adjustment.json

@@ -596,8 +596,7 @@
         "extra": {
           "workflowRendererVersion": "LG"
         },
-        "category": "Image Tools/Color adjust",
-        "description": "Adjusts saturation, temperature, tint, and vibrance using a real-time GPU fragment shader."
+        "category": "Image Tools/Color adjust"
       }
     ]
   }

blueprints/Color Balance.json

@@ -1129,8 +1129,7 @@
         "extra": {
           "workflowRendererVersion": "LG"
         },
-        "category": "Image Tools/Color adjust",
-        "description": "Balances colors across shadows, midtones, and highlights using a real-time GPU fragment shader."
+        "category": "Image Tools/Color adjust"
       }
     ]
   }

blueprints/Color Curves.json

@@ -608,8 +608,7 @@
         "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."
+        "category": "Image Tools/Color adjust"
       }
     ]
   }

blueprints/Crop Images 2x2.json

@@ -1609,8 +1609,7 @@
           }
         ],
         "extra": {},
-        "category": "Image Tools/Crop",
-        "description": "Splits an image into a 2×2 grid of four equal tiles."
+        "category": "Image Tools/Crop"
       }
     ]
   },

blueprints/Crop Images 3x3.json

@@ -2946,8 +2946,7 @@
           }
         ],
         "extra": {},
-        "category": "Image Tools/Crop",
-        "description": "Splits an image into a 3×3 grid of nine equal tiles."
+        "category": "Image Tools/Crop"
       }
     ]
   },

blueprints/Depth to Image (Z-Image-Turbo).json

@@ -1579,8 +1579,7 @@
           "VHS_MetadataImage": true,
           "VHS_KeepIntermediate": true
         },
-        "category": "Image generation and editing/Conditioned",
-        "description": "Generates an image from a depth map using Z-Image-Turbo with text conditioning."
+        "category": "Image generation and editing/Depth to image"
       },
       {
         "id": "458bdf3c-4b58-421c-af50-c9c663a4d74c",
@@ -2462,8 +2461,7 @@
             ]
           },
           "workflowRendererVersion": "LG"
-        },
-        "description": "Estimates a monocular depth map from an input image using the Lotus depth estimation model."
+        }
       }
     ]
   },

blueprints/Depth to Video (ltx 2.0).json

@@ -4233,8 +4233,7 @@
         "extra": {
           "workflowRendererVersion": "LG"
         },
-        "category": "Video generation and editing/Conditioned",
-        "description": "Generates depth-controlled video with LTX-2: motion and structure follow a depth-reference video alongside text prompting, optional first-frame image conditioning, with optional synchronized audio."
+        "category": "Video generation and editing/Depth to video"
       },
       {
         "id": "38b60539-50a7-42f9-a5fe-bdeca26272e2",
@@ -5193,8 +5192,7 @@
         ],
         "extra": {
           "workflowRendererVersion": "LG"
-        },
-        "description": "Estimates a monocular depth map from an input image using the Lotus depth estimation model."
+        }
       }
     ]
   },

blueprints/Edge-Preserving Blur.json

@@ -450,10 +450,9 @@
         "extra": {
           "workflowRendererVersion": "LG"
         },
-        "category": "Image Tools/Blur",
-        "description": "Applies bilateral (edge-preserving) blur to soften images while retaining detail."
+        "category": "Image Tools/Blur"
       }
     ]
   },
   "extra": {}
-}
+}

blueprints/Film Grain.json

@@ -580,9 +580,8 @@
         "extra": {
           "workflowRendererVersion": "LG"
         },
-        "category": "Image Tools/Color adjust",
-        "description": "Adds procedural film grain texture for a cinematic look via GPU fragment shader."
+        "category": "Image Tools/Color adjust"
       }
     ]
   }
-}
+}

blueprints/First-Last-Frame to Video (LTX-2.3).json

@@ -3350,8 +3350,7 @@
           }
         ],
         "extra": {},
-        "category": "Video generation and editing/Conditioned",
-        "description": "Generates a video interpolating between first and last keyframes using LTX-2.3."
+        "category": "Video generation and editing/First-Last-Frame to Video"
       }
     ]
   },

blueprints/Frame Interpolation.json

@@ -1,858 +0,0 @@
-{
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-  "last_link_id": 0,
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-          "name": "value",
-          "type": "INT",
-          "widget": {
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-          },
-          "link": null
-        },
-        {
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-          "name": "value_1",
-          "type": "BOOLEAN",
-          "widget": {
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-          },
-          "link": null
-        },
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-          "type": "COMBO",
-          "widget": {
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-          "link": null
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-      "outputs": [
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-          "name": "VIDEO_1",
-          "type": "VIDEO",
-          "links": []
-        },
-        {
-          "name": "IMAGE",
-          "type": "IMAGE",
-          "links": null
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-        "secondTabText": "Send Back",
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-        "secondTabWidth": 65,
-        "cnr_id": "comfy-core",
-        "ver": "0.19.3"
-      },
-      "widgets_values": [],
-      "title": "Frame Interpolation"
-    }
-  ],
-  "links": [],
-  "version": 0.4,
-  "definitions": {
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-        "version": 1,
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-            "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": [
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-      "size": [
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-      "flags": {},
-      "order": 7,
-      "mode": 0,
-      "inputs": [
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-          "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": []
-    }
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-  "version": 0.4,
-  "definitions": {
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-          "lastNodeId": 136,
-          "lastLinkId": 302,
-          "lastRerouteId": 0
-        },
-        "revision": 0,
-        "config": {},
-        "name": "Get Any Video Frame",
-        "inputNode": {
-          "id": -10,
-          "bounding": [
-            380,
-            -57,
-            120,
-            80
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-        },
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-            "id": "2ceec378-8dcf-4340-8570-155967f59a93",
-            "name": "video",
-            "type": "VIDEO",
-            "linkIds": [
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-            "pos": [
-              480,
-              -37
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-            "name": "value",
-            "type": "INT",
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-            "label": "frame_index",
-            "pos": [
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-            "id": "1ab0684d-6a44-45b6-8aa4-a0b971a1d41e",
-            "name": "IMAGE",
-            "type": "IMAGE",
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-        "widgets": [],
-        "nodes": [
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-            "type": "GetVideoComponents",
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-              -150
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-            "size": [
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-                "localized_name": "video",
-                "name": "video",
-                "type": "VIDEO",
-                "link": 4
-              }
-            ],
-            "outputs": [
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-                "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": [
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-              50
-            ],
-            "size": [
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-              120
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-            "flags": {},
-            "order": 1,
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-            "inputs": [
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-                "name": "image",
-                "type": "IMAGE",
-                "link": 1
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-            ],
-            "outputs": [
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-                "localized_name": "width",
-                "name": "width",
-                "type": "INT",
-                "links": null
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-              {
-                "localized_name": "height",
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-                "links": [
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-            ],
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-            "type": "ImageFromBatch",
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-                "name": "batch_index",
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-                "type": "INT",
-                "widget": {
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-                },
-                "link": null
-              }
-            ],
-            "outputs": [
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-                "localized_name": "IMAGE",
-                "name": "IMAGE",
-                "type": "IMAGE",
-                "links": [
-                  5
-                ]
-              }
-            ],
-            "properties": {
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-            "type": "ComfyMathExpression",
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-            ],
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-            ],
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-            "order": 3,
-            "mode": 0,
-            "inputs": [
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-                "localized_name": "values.a",
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-              },
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-                "name": "values.b",
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-                "localized_name": "values.c",
-                "name": "values.c",
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-              },
-              {
-                "localized_name": "expression",
-                "name": "expression",
-                "type": "STRING",
-                "widget": {
-                  "name": "expression"
-                },
-                "link": null
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-            ],
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-                "name": "FLOAT",
-                "type": "FLOAT",
-                "links": null
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-              "min(max(int(a if a >= 0 else b + a), 0), b - 1)"
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-                "name": "INT",
-                "type": "INT",
-                "links": [
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-            "target_slot": 0,
-            "type": "IMAGE"
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-          {
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-            "origin_id": -10,
-            "origin_slot": 0,
-            "target_id": 1,
-            "target_slot": 0,
-            "type": "VIDEO"
-          },
-          {
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-            "origin_id": 3,
-            "origin_slot": 0,
-            "target_id": -20,
-            "target_slot": 0,
-            "type": "IMAGE"
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-            "origin_id": -10,
-            "origin_slot": 1,
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-            "origin_slot": 0,
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-            "target_slot": 1,
-            "type": "INT"
-          },
-          {
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-            "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": [
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-        540.6638955283997
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-    "frontendVersion": "1.42.8"
-  }
-}

blueprints/Glow.json

@@ -575,9 +575,8 @@
         "extra": {
           "workflowRendererVersion": "LG"
         },
-        "category": "Image Tools/Color adjust",
-        "description": "Adds a glow/bloom effect around bright image areas via GPU fragment shader."
+        "category": "Image Tools/Color adjust"
       }
     ]
   }
-}
+}

blueprints/Hue and Saturation.json

@@ -752,9 +752,8 @@
         "extra": {
           "workflowRendererVersion": "LG"
         },
-        "category": "Image Tools/Color adjust",
-        "description": "Adjusts hue, saturation, and lightness of an image using a real-time GPU fragment shader."
+        "category": "Image Tools/Color adjust"
       }
     ]
   }
-}
+}

blueprints/Image Blur.json

@@ -374,8 +374,7 @@
         "extra": {
           "workflowRendererVersion": "LG"
         },
-        "category": "Image Tools/Blur",
-        "description": "Applies Gaussian, Box, or Radial blur to soften images and create stylized depth or motion effects."
+        "category": "Image Tools/Blur"
       }
     ]
   }

blueprints/Image Captioning (gemini).json

@@ -310,9 +310,8 @@
         "extra": {
           "workflowRendererVersion": "LG"
         },
-        "category": "Image Tools",
-        "description": "Generates descriptive captions for images using Google's Gemini multimodal LLM."
+        "category": "Text generation/Image Captioning"
       }
     ]
   }
-}
+}

blueprints/Image Channels.json

@@ -315,9 +315,8 @@
         "extra": {
           "workflowRendererVersion": "LG"
         },
-        "category": "Image Tools/Color adjust",
-        "description": "Manipulates individual RGBA channels for masking, compositing, and channel effects."
+        "category": "Image Tools/Color adjust"
       }
     ]
   }
-}
+}

blueprints/Image Edit (Flux.2 Klein 4B).json

@@ -1472,8 +1472,7 @@
         "extra": {
           "workflowRendererVersion": "LG"
         },
-        "category": "Image generation and editing/Edit image",
-        "description": "Edits an input image via text instructions using FLUX.2 [klein] 4B."
+        "category": "Image generation and editing/Edit image"
       },
       {
         "id": "6007e698-2ebd-4917-84d8-299b35d7b7ab",
@@ -1822,8 +1821,7 @@
         ],
         "extra": {
           "workflowRendererVersion": "LG"
-        },
-        "description": "Applies reference image conditioning for style/identity transfer (Flux.2 Klein 4B)."
+        }
       }
     ]
   },
@@ -1839,4 +1837,4 @@
     }
   },
   "version": 0.4
-}
+}

blueprints/Image Edit (LongCat Image Edit).json

@@ -1417,8 +1417,7 @@
           }
         ],
         "extra": {},
-        "category": "Image generation and editing/Edit image",
-        "description": "Edits images via text instructions using LongCat Image Edit, an instruction-following image editing diffusion model."
+        "category": "Image generation and editing/Edit image"
       }
     ]
   },

blueprints/Image Edit (Qwen 2511).json

@@ -132,7 +132,7 @@
         },
         "revision": 0,
         "config": {},
-        "name": "Image Edit (Qwen 2511)",
+        "name": "local-Image Edit (Qwen 2511)",
         "inputNode": {
           "id": -10,
           "bounding": [
@@ -1468,8 +1468,7 @@
           "VHS_MetadataImage": true,
           "VHS_KeepIntermediate": true
         },
-        "category": "Image generation and editing/Edit image",
-        "description": "Edits images via text instructions using Qwen-Image-Edit-2511 with improved character consistency and integrated LoRA."
+        "category": "Image generation and editing/Edit image"
       }
     ]
   },
@@ -1490,4 +1489,4 @@
     }
   },
   "version": 0.4
-}
+}

blueprints/Image Face Detection (Mediapipe).json

@@ -1,779 +0,0 @@
-{
-  "revision": 0,
-  "last_node_id": 33,
-  "last_link_id": 0,
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-      "inputs": [
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-          "localized_name": "image",
-          "name": "image",
-          "type": "IMAGE",
-          "link": null
-        },
-        {
-          "name": "face_landmarker",
-          "type": "FACE_LANDMARKER",
-          "link": null
-        },
-        {
-          "name": "detector_variant",
-          "type": "COMBO",
-          "widget": {
-            "name": "detector_variant"
-          },
-          "link": null
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-        {
-          "name": "num_faces",
-          "type": "INT",
-          "widget": {
-            "name": "num_faces"
-          },
-          "link": null
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-        {
-          "label": "custom_face_oval",
-          "name": "regions.face_oval",
-          "type": "BOOLEAN",
-          "widget": {
-            "name": "regions.face_oval"
-          },
-          "link": null
-        },
-        {
-          "label": "custom_lips",
-          "name": "regions.lips",
-          "type": "BOOLEAN",
-          "widget": {
-            "name": "regions.lips"
-          },
-          "link": null
-        },
-        {
-          "label": "custom_left_eye",
-          "name": "regions.left_eye",
-          "type": "BOOLEAN",
-          "widget": {
-            "name": "regions.left_eye"
-          },
-          "link": null
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-        {
-          "label": "custom_right_eye",
-          "name": "regions.right_eye",
-          "type": "BOOLEAN",
-          "widget": {
-            "name": "regions.right_eye"
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-          "link": null
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-          "label": "custom_irises",
-          "name": "regions.irises",
-          "type": "BOOLEAN",
-          "widget": {
-            "name": "regions.irises"
-          },
-          "link": null
-        },
-        {
-          "name": "model_name",
-          "type": "COMBO",
-          "widget": {
-            "name": "model_name"
-          },
-          "link": null
-        }
-      ],
-      "outputs": [
-        {
-          "localized_name": "face_landmarks",
-          "name": "face_landmarks",
-          "type": "FACE_LANDMARKS",
-          "links": []
-        },
-        {
-          "localized_name": "bboxes",
-          "name": "bboxes",
-          "type": "BOUNDING_BOX",
-          "links": []
-        },
-        {
-          "label": "mask",
-          "name": "MASK_1",
-          "type": "MASK",
-          "links": []
-        }
-      ],
-      "title": "Image Face Detection (Mediapipe)",
-      "properties": {
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-            "detector_variant"
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-            "regions.face_oval"
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-            "regions.left_eye"
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-        "secondTabText": "Send Back",
-        "secondTabOffset": 80,
-        "secondTabWidth": 65
-      },
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blueprints/Image Inpainting (Flux.1 Fill Dev).json

@@ -1188,8 +1188,7 @@
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blueprints/Image Inpainting (Qwen-image).json

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blueprints/Image Levels.json

@@ -742,10 +742,9 @@
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blueprints/Image Outpainting (Qwen-Image).json

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blueprints/Image Segmentation (SAM3).json

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         -786.0629126022195
       ]
-    }
-  }
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+    },
+    "workflowRendererVersion": "LG"
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+}

blueprints/Image to Layers(Qwen-Image-Layered).json

@@ -1586,8 +1586,7 @@
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         },
-        "category": "Image generation and editing/Image to layers",
-        "description": "Decomposes an image into variable-resolution RGBA layers for independent editing using Qwen-Image-Layered."
+        "category": "Image generation and editing/Image to layers"
       }
     ]
   },

blueprints/Image to Model (Hunyuan3d 2.1).json

@@ -72,7 +72,7 @@
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         "revision": 0,
         "config": {},
-        "name": "Image to 3D Model (Hunyuan3d 2.1)",
+        "name": "local-Image to Model (Hunyuan3d 2.1)",
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@@ -765,8 +765,7 @@
         "extra": {
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         },
-        "category": "3D/Image to 3D Model",
-        "description": "Generates 3D mesh models from a single input image using Hunyuan3D 2.0/2.1."
+        "category": "3D/Image to 3D Model"
       }
     ]
   },

blueprints/Image to Pose Map (SDPose-OOD).json

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-            "target_id": 671,
-            "target_slot": 3,
-            "type": "BOUNDING_BOX"
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-            "origin_id": 671,
-            "origin_slot": 0,
-            "target_id": -20,
-            "target_slot": 1,
-            "type": "POSE_KEYPOINT"
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-        "extra": {
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-        "category": "Conditioning & Preprocessors/Pose",
-        "description": "Extracts human pose keypoints and stick-figure visuals from an image using SDPose-OOD, with optional bounding-box input per subject."
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-  },
-  "extra": {
-    "ue_links": []
-  }
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blueprints/Image to Video (LTX-2.3).json

@@ -4223,8 +4223,7 @@
         "extra": {
           "workflowRendererVersion": "Vue-corrected"
         },
-        "category": "Video generation and editing/Image to video",
-        "description": "Generates video from a single input image using LTX-2.3."
+        "category": "Video generation and editing/Image to video"
       }
     ]
   },

blueprints/Image to Video (Wan 2.2).json

@@ -206,7 +206,7 @@
         },
         "revision": 0,
         "config": {},
-        "name": "Image to Video (Wan 2.2)",
+        "name": "local-Image to Video (Wan 2.2)",
         "inputNode": {
           "id": -10,
           "bounding": [
@@ -2027,8 +2027,7 @@
         "extra": {
           "workflowRendererVersion": "LG"
         },
-        "category": "Video generation and editing/Image to video",
-        "description": "Image-to-video with Wan 2.2 using a start image plus text prompt to extend motion from the still frame."
+        "category": "Video generation and editing/Image to video"
       }
     ]
   },

blueprints/Pose to Image (Z-Image-Turbo).json

@@ -134,7 +134,7 @@
         },
         "revision": 0,
         "config": {},
-        "name": "Pose to Image (Z-Image-Turbo)",
+        "name": "local-Pose to Image (Z-Image-Turbo)",
         "inputNode": {
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@@ -1298,8 +1298,7 @@
           "VHS_MetadataImage": true,
           "VHS_KeepIntermediate": true
         },
-        "category": "Image generation and editing/Conditioned",
-        "description": "Generates an image from pose keypoints using Z-Image-Turbo with text conditioning."
+        "category": "Image generation and editing/Pose to image"
       }
     ]
   },
@@ -1320,4 +1319,4 @@
     }
   },
   "version": 0.4
-}
+}

blueprints/Pose to Video (LTX 2.0).json

@@ -3870,8 +3870,7 @@
         "extra": {
           "workflowRendererVersion": "LG"
         },
-        "category": "Video generation and editing/Conditioned",
-        "description": "Generates video from pose reference frames using LTX-2, with optional synchronized audio."
+        "category": "Video generation and editing/Pose to video"
       }
     ]
   },

blueprints/Prompt Enhance.json

@@ -270,10 +270,9 @@
         "extra": {
           "workflowRendererVersion": "LG"
         },
-        "category": "Text Tools",
-        "description": "Expands short text prompts into detailed descriptions using a text generation model for better generation quality."
+        "category": "Text generation/Prompt enhance"
       }
     ]
   },
   "extra": {}
-}
+}

blueprints/Remove Background (BiRefNet).json

@@ -1,397 +0,0 @@
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-          "type": "COMBO",
-          "widget": {
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-          "name": "IMAGE",
-          "type": "IMAGE",
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blueprints/Select Per-Line Text by Index.json

@@ -1,485 +0,0 @@
-{
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-          "type": "INT",
-          "widget": {
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-          "name": "selected_line",
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-      "properties": {
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-      "title": "Select Per-Line Text by Index"
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-              },
-              {
-                "localized_name": "find",
-                "name": "find",
-                "type": "STRING",
-                "widget": {
-                  "name": "find"
-                },
-                "link": null
-              },
-              {
-                "localized_name": "replace",
-                "name": "replace",
-                "type": "STRING",
-                "widget": {
-                  "name": "replace"
-                },
-                "link": 6
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "STRING",
-                "name": "STRING",
-                "type": "STRING",
-                "links": [
-                  9
-                ]
-              }
-            ],
-            "properties": {
-              "Node name for S&R": "StringReplace",
-              "cnr_id": "comfy-core",
-              "ver": "0.19.0",
-              "ue_properties": {
-                "widget_ue_connectable": {},
-                "input_ue_unconnectable": {}
-              }
-            },
-            "widgets_values": [
-              "^(?:[^\\n]*\\n){index}([^\\n]*)(?:\\n|$)",
-              "index",
-              ""
-            ]
-          }
-        ],
-        "groups": [],
-        "links": [
-          {
-            "id": 1,
-            "origin_id": 3,
-            "origin_slot": 0,
-            "target_id": 1,
-            "target_slot": 0,
-            "type": "INT"
-          },
-          {
-            "id": 9,
-            "origin_id": 8,
-            "origin_slot": 0,
-            "target_id": 2,
-            "target_slot": 1,
-            "type": "STRING"
-          },
-          {
-            "id": 6,
-            "origin_id": 1,
-            "origin_slot": 0,
-            "target_id": 8,
-            "target_slot": 2,
-            "type": "STRING"
-          },
-          {
-            "id": 10,
-            "origin_id": 2,
-            "origin_slot": 0,
-            "target_id": -20,
-            "target_slot": 0,
-            "type": "STRING"
-          },
-          {
-            "id": 13,
-            "origin_id": -10,
-            "origin_slot": 0,
-            "target_id": 2,
-            "target_slot": 0,
-            "type": "STRING"
-          },
-          {
-            "id": 14,
-            "origin_id": -10,
-            "origin_slot": 1,
-            "target_id": 3,
-            "target_slot": 0,
-            "type": "INT"
-          }
-        ],
-        "extra": {},
-        "category": "Text Tools",
-        "description": "Selects one line from multiline text by zero-based index for batch or list-driven prompt workflows."
-      }
-    ]
-  },
-  "extra": {
-    "ue_links": [],
-    "links_added_by_ue": []
-  }
-}

blueprints/Sharpen.json

@@ -302,9 +302,8 @@
         "extra": {
           "workflowRendererVersion": "LG"
         },
-        "category": "Image Tools/Sharpen",
-        "description": "Sharpens image details using a GPU fragment shader for enhanced clarity."
+        "category": "Image Tools/Sharpen"
       }
     ]
   }
-}
+}

blueprints/Split Image Grid to Tiles.json

@@ -1,714 +0,0 @@
-{
-  "revision": 0,
-  "last_node_id": 251,
-  "last_link_id": 0,
-  "nodes": [
-    {
-      "id": 251,
-      "type": "609e1fd1-b731-4b78-89ac-d19b1156b025",
-      "pos": [
-        -1490,
-        130
-      ],
-      "size": [
-        230,
-        164
-      ],
-      "flags": {},
-      "order": 1,
-      "mode": 0,
-      "inputs": [
-        {
-          "localized_name": "source_image",
-          "name": "source_image",
-          "type": "IMAGE",
-          "link": null
-        },
-        {
-          "localized_name": "columns",
-          "name": "columns",
-          "type": "INT",
-          "widget": {
-            "name": "columns"
-          },
-          "link": null
-        },
-        {
-          "localized_name": "rows",
-          "name": "rows",
-          "type": "INT",
-          "widget": {
-            "name": "rows"
-          },
-          "link": null
-        }
-      ],
-      "outputs": [
-        {
-          "localized_name": "tiles",
-          "name": "tiles",
-          "type": "IMAGE",
-          "links": []
-        }
-      ],
-      "properties": {
-        "proxyWidgets": [
-          [
-            "228",
-            "value"
-          ],
-          [
-            "252",
-            "value"
-          ]
-        ],
-        "cnr_id": "comfy-core",
-        "ver": "0.20.1",
-        "enableTabs": false,
-        "tabWidth": 65,
-        "tabXOffset": 10,
-        "hasSecondTab": false,
-        "secondTabText": "Send Back",
-        "secondTabOffset": 80,
-        "secondTabWidth": 65
-      },
-      "widgets_values": [],
-      "title": "Split Image Grid to Tiles"
-    }
-  ],
-  "links": [],
-  "version": 0.4,
-  "definitions": {
-    "subgraphs": [
-      {
-        "id": "609e1fd1-b731-4b78-89ac-d19b1156b025",
-        "version": 1,
-        "state": {
-          "lastGroupId": 9,
-          "lastNodeId": 252,
-          "lastLinkId": 429,
-          "lastRerouteId": 0
-        },
-        "revision": 0,
-        "config": {},
-        "name": "Split Image Grid to Tiles",
-        "inputNode": {
-          "id": -10,
-          "bounding": [
-            -1690,
-            260,
-            128,
-            108
-          ]
-        },
-        "outputNode": {
-          "id": -20,
-          "bounding": [
-            -510,
-            590,
-            128,
-            68
-          ]
-        },
-        "inputs": [
-          {
-            "id": "866ac798-cfbc-450a-b755-e704f86404d9",
-            "name": "source_image",
-            "type": "IMAGE",
-            "linkIds": [
-              386,
-              389
-            ],
-            "localized_name": "source_image",
-            "pos": [
-              -1586,
-              284
-            ]
-          },
-          {
-            "id": "bc37b1f8-8ab2-4f19-bd00-75d4fbc4feb3",
-            "name": "columns",
-            "type": "INT",
-            "linkIds": [
-              427
-            ],
-            "localized_name": "columns",
-            "pos": [
-              -1586,
-              304
-            ]
-          },
-          {
-            "id": "d45915da-e848-43dd-9ccc-e3161e9c99d9",
-            "name": "rows",
-            "type": "INT",
-            "linkIds": [
-              428
-            ],
-            "localized_name": "rows",
-            "pos": [
-              -1586,
-              324
-            ]
-          }
-        ],
-        "outputs": [
-          {
-            "id": "18bc780f-064b-4038-87c6-67dba71deb08",
-            "name": "tiles",
-            "type": "IMAGE",
-            "linkIds": [
-              394
-            ],
-            "localized_name": "tiles",
-            "shape": 6,
-            "pos": [
-              -486,
-              614
-            ]
-          }
-        ],
-        "widgets": [],
-        "nodes": [
-          {
-            "id": 225,
-            "type": "SplitImageToTileList",
-            "pos": [
-              -1010,
-              620
-            ],
-            "size": [
-              290,
-              170
-            ],
-            "flags": {},
-            "order": 0,
-            "mode": 0,
-            "inputs": [
-              {
-                "localized_name": "image",
-                "name": "image",
-                "type": "IMAGE",
-                "link": 386
-              },
-              {
-                "localized_name": "tile_width",
-                "name": "tile_width",
-                "type": "INT",
-                "widget": {
-                  "name": "tile_width"
-                },
-                "link": 403
-              },
-              {
-                "localized_name": "tile_height",
-                "name": "tile_height",
-                "type": "INT",
-                "widget": {
-                  "name": "tile_height"
-                },
-                "link": 404
-              },
-              {
-                "localized_name": "overlap",
-                "name": "overlap",
-                "type": "INT",
-                "widget": {
-                  "name": "overlap"
-                },
-                "link": null
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "IMAGE",
-                "name": "IMAGE",
-                "shape": 6,
-                "type": "IMAGE",
-                "links": [
-                  394
-                ]
-              }
-            ],
-            "properties": {
-              "Node name for S&R": "SplitImageToTileList",
-              "cnr_id": "comfy-core",
-              "ver": "0.20.1",
-              "enableTabs": false,
-              "tabWidth": 65,
-              "tabXOffset": 10,
-              "hasSecondTab": false,
-              "secondTabText": "Send Back",
-              "secondTabOffset": 80,
-              "secondTabWidth": 65
-            },
-            "widgets_values": [
-              1024,
-              1024,
-              0
-            ]
-          },
-          {
-            "id": 231,
-            "type": "ComfyMathExpression",
-            "pos": [
-              -1080,
-              330
-            ],
-            "size": [
-              370,
-              190
-            ],
-            "flags": {},
-            "order": 4,
-            "mode": 0,
-            "inputs": [
-              {
-                "label": "a",
-                "localized_name": "values.a",
-                "name": "values.a",
-                "type": "FLOAT,INT,BOOLEAN",
-                "link": 390
-              },
-              {
-                "label": "b",
-                "localized_name": "values.b",
-                "name": "values.b",
-                "shape": 7,
-                "type": "FLOAT,INT,BOOLEAN",
-                "link": 429
-              },
-              {
-                "label": "c",
-                "localized_name": "values.c",
-                "name": "values.c",
-                "shape": 7,
-                "type": "FLOAT,INT,BOOLEAN",
-                "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": [
-                  404
-                ]
-              },
-              {
-                "localized_name": "BOOL",
-                "name": "BOOL",
-                "type": "BOOLEAN",
-                "links": null
-              }
-            ],
-            "title": "Math Expression （Height）",
-            "properties": {
-              "Node name for S&R": "ComfyMathExpression",
-              "cnr_id": "comfy-core",
-              "ver": "0.18.1",
-              "enableTabs": false,
-              "tabWidth": 65,
-              "tabXOffset": 10,
-              "hasSecondTab": false,
-              "secondTabText": "Send Back",
-              "secondTabOffset": 80,
-              "secondTabWidth": 65,
-              "ue_properties": {
-                "widget_ue_connectable": {},
-                "version": "7.7",
-                "input_ue_unconnectable": {}
-              }
-            },
-            "widgets_values": [
-              "max(1, (int(a) + int(b) - 1) // int(b))"
-            ]
-          },
-          {
-            "id": 229,
-            "type": "ComfyMathExpression",
-            "pos": [
-              -1090,
-              -30
-            ],
-            "size": [
-              370,
-              190
-            ],
-            "flags": {},
-            "order": 2,
-            "mode": 0,
-            "inputs": [
-              {
-                "label": "a",
-                "localized_name": "values.a",
-                "name": "values.a",
-                "type": "FLOAT,INT,BOOLEAN",
-                "link": 387
-              },
-              {
-                "label": "b",
-                "localized_name": "values.b",
-                "name": "values.b",
-                "shape": 7,
-                "type": "FLOAT,INT,BOOLEAN",
-                "link": 388
-              },
-              {
-                "label": "c",
-                "localized_name": "values.c",
-                "name": "values.c",
-                "shape": 7,
-                "type": "FLOAT,INT,BOOLEAN",
-                "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": [
-                  403
-                ]
-              },
-              {
-                "localized_name": "BOOL",
-                "name": "BOOL",
-                "type": "BOOLEAN",
-                "links": null
-              }
-            ],
-            "title": "Math Expression （Width）",
-            "properties": {
-              "Node name for S&R": "ComfyMathExpression",
-              "cnr_id": "comfy-core",
-              "ver": "0.18.1",
-              "enableTabs": false,
-              "tabWidth": 65,
-              "tabXOffset": 10,
-              "hasSecondTab": false,
-              "secondTabText": "Send Back",
-              "secondTabOffset": 80,
-              "secondTabWidth": 65,
-              "ue_properties": {
-                "widget_ue_connectable": {},
-                "version": "7.7",
-                "input_ue_unconnectable": {}
-              }
-            },
-            "widgets_values": [
-              "max(1, (int(a) + int(b) - 1) // int(b))"
-            ]
-          },
-          {
-            "id": 228,
-            "type": "PrimitiveInt",
-            "pos": [
-              -1380,
-              90
-            ],
-            "size": [
-              230,
-              110
-            ],
-            "flags": {},
-            "order": 1,
-            "mode": 0,
-            "inputs": [
-              {
-                "localized_name": "value",
-                "name": "value",
-                "type": "INT",
-                "widget": {
-                  "name": "value"
-                },
-                "link": 427
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "INT",
-                "name": "INT",
-                "type": "INT",
-                "links": [
-                  388
-                ]
-              }
-            ],
-            "title": "Int (grid columns)",
-            "properties": {
-              "Node name for S&R": "Int (grid columns)",
-              "cnr_id": "comfy-core",
-              "ver": "0.18.1",
-              "enableTabs": false,
-              "tabWidth": 65,
-              "tabXOffset": 10,
-              "hasSecondTab": false,
-              "secondTabText": "Send Back",
-              "secondTabOffset": 80,
-              "secondTabWidth": 65,
-              "ue_properties": {
-                "widget_ue_connectable": {},
-                "version": "7.7",
-                "input_ue_unconnectable": {}
-              }
-            },
-            "widgets_values": [
-              2,
-              "fixed"
-            ]
-          },
-          {
-            "id": 230,
-            "type": "GetImageSize",
-            "pos": [
-              -1380,
-              290
-            ],
-            "size": [
-              230,
-              100
-            ],
-            "flags": {},
-            "order": 3,
-            "mode": 0,
-            "inputs": [
-              {
-                "localized_name": "image",
-                "name": "image",
-                "type": "IMAGE",
-                "link": 389
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "width",
-                "name": "width",
-                "type": "INT",
-                "links": [
-                  387
-                ]
-              },
-              {
-                "localized_name": "height",
-                "name": "height",
-                "type": "INT",
-                "links": [
-                  390
-                ]
-              },
-              {
-                "localized_name": "batch_size",
-                "name": "batch_size",
-                "type": "INT",
-                "links": null
-              }
-            ],
-            "properties": {
-              "Node name for S&R": "GetImageSize",
-              "cnr_id": "comfy-core",
-              "ver": "0.18.1",
-              "enableTabs": false,
-              "tabWidth": 65,
-              "tabXOffset": 10,
-              "hasSecondTab": false,
-              "secondTabText": "Send Back",
-              "secondTabOffset": 80,
-              "secondTabWidth": 65,
-              "ue_properties": {
-                "widget_ue_connectable": {},
-                "version": "7.7",
-                "input_ue_unconnectable": {}
-              }
-            }
-          },
-          {
-            "id": 252,
-            "type": "PrimitiveInt",
-            "pos": [
-              -1380,
-              470
-            ],
-            "size": [
-              230,
-              110
-            ],
-            "flags": {},
-            "order": 5,
-            "mode": 0,
-            "inputs": [
-              {
-                "localized_name": "value",
-                "name": "value",
-                "type": "INT",
-                "widget": {
-                  "name": "value"
-                },
-                "link": 428
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "INT",
-                "name": "INT",
-                "type": "INT",
-                "links": [
-                  429
-                ]
-              }
-            ],
-            "title": "Int (grid rows)",
-            "properties": {
-              "Node name for S&R": "Int (grid rows)",
-              "cnr_id": "comfy-core",
-              "ver": "0.18.1",
-              "enableTabs": false,
-              "tabWidth": 65,
-              "tabXOffset": 10,
-              "hasSecondTab": false,
-              "secondTabText": "Send Back",
-              "secondTabOffset": 80,
-              "secondTabWidth": 65,
-              "ue_properties": {
-                "widget_ue_connectable": {},
-                "version": "7.7",
-                "input_ue_unconnectable": {}
-              }
-            },
-            "widgets_values": [
-              3,
-              "fixed"
-            ]
-          }
-        ],
-        "groups": [],
-        "links": [
-          {
-            "id": 403,
-            "origin_id": 229,
-            "origin_slot": 1,
-            "target_id": 225,
-            "target_slot": 1,
-            "type": "INT"
-          },
-          {
-            "id": 404,
-            "origin_id": 231,
-            "origin_slot": 1,
-            "target_id": 225,
-            "target_slot": 2,
-            "type": "INT"
-          },
-          {
-            "id": 390,
-            "origin_id": 230,
-            "origin_slot": 1,
-            "target_id": 231,
-            "target_slot": 0,
-            "type": "INT"
-          },
-          {
-            "id": 387,
-            "origin_id": 230,
-            "origin_slot": 0,
-            "target_id": 229,
-            "target_slot": 0,
-            "type": "INT"
-          },
-          {
-            "id": 388,
-            "origin_id": 228,
-            "origin_slot": 0,
-            "target_id": 229,
-            "target_slot": 1,
-            "type": "INT"
-          },
-          {
-            "id": 386,
-            "origin_id": -10,
-            "origin_slot": 0,
-            "target_id": 225,
-            "target_slot": 0,
-            "type": "IMAGE"
-          },
-          {
-            "id": 389,
-            "origin_id": -10,
-            "origin_slot": 0,
-            "target_id": 230,
-            "target_slot": 0,
-            "type": "IMAGE"
-          },
-          {
-            "id": 394,
-            "origin_id": 225,
-            "origin_slot": 0,
-            "target_id": -20,
-            "target_slot": 0,
-            "type": "IMAGE"
-          },
-          {
-            "id": 427,
-            "origin_id": -10,
-            "origin_slot": 1,
-            "target_id": 228,
-            "target_slot": 0,
-            "type": "INT"
-          },
-          {
-            "id": 428,
-            "origin_id": -10,
-            "origin_slot": 2,
-            "target_id": 252,
-            "target_slot": 0,
-            "type": "INT"
-          },
-          {
-            "id": 429,
-            "origin_id": 252,
-            "origin_slot": 0,
-            "target_id": 231,
-            "target_slot": 1,
-            "type": "INT"
-          }
-        ],
-        "extra": {},
-        "category": "Image Tools/Crop",
-        "description": "Splits an image into a configurable columns×rows grid of equal tiles for tiled generation or processing."
-      }
-    ]
-  },
-  "extra": {}
-}

blueprints/Text to Audio (ACE-Step 1.5).json

@@ -222,7 +222,7 @@
         },
         "revision": 0,
         "config": {},
-        "name": "Text to Audio (ACE-Step 1.5)",
+        "name": "local-Text to Audio (ACE-Step 1.5)",
         "inputNode": {
           "id": -10,
           "bounding": [
@@ -1502,8 +1502,7 @@
         "extra": {
           "workflowRendererVersion": "LG"
         },
-        "category": "Audio/Music generation",
-        "description": "Generates audio/music from text prompts using ACE-Step 1.5, a diffusion-based audio generation model."
+        "category": "Audio/Music generation"
       }
     ]
   },
@@ -1519,4 +1518,4 @@
     }
   },
   "version": 0.4
-}
+}

blueprints/Text to Image (Flux.1 Dev).json

@@ -1029,8 +1029,7 @@
         "extra": {
           "workflowRendererVersion": "LG"
         },
-        "category": "Image generation and editing/Text to image",
-        "description": "Generates images from prompts using FLUX.1 [dev]: a 12B rectified-flow MMDiT with dual CLIP plus T5-XXL text encoders and guidance-distilled sampling for sharp prompt following versus classic DDPM diffusion."
+        "category": "Image generation and editing/Text to image"
       }
     ]
   },
@@ -1044,4 +1043,4 @@
     },
     "ue_links": []
   }
-}
+}

blueprints/Text to Image (Flux.1 Krea Dev).json

@@ -1023,8 +1023,7 @@
         "extra": {
           "workflowRendererVersion": "LG"
         },
-        "category": "Image generation and editing/Text to image",
-        "description": "FLUX.1 Krea [dev] (Black Forest Labs × Krea): open-weight 12B rectified-flow text-to-image drop-in alongside FLUX.1 [dev], tuned away from overcooked saturation toward more natural diversity in people, realism, and style while keeping ecosystem compatibility."
+        "category": "Image generation and editing/Text to image"
       }
     ]
   },
@@ -1038,4 +1037,4 @@
     },
     "ue_links": []
   }
-}
+}

blueprints/Text to Image (NetaYume Lumina).json

@@ -1104,8 +1104,7 @@
         "extra": {
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         },
-        "category": "Image generation and editing/Text to image",
-        "description": "Generates images from text prompts using NetaYume Lumina, fine-tuned from Neta Lumina for anime-style and illustration generation."
+        "category": "Image generation and editing/Text to image"
       },
       {
         "id": "a07fdf06-1bda-4dac-bdbd-63ee8ebca1c9",
@@ -1459,12 +1458,11 @@
         ],
         "extra": {
           "workflowRendererVersion": "LG"
-        },
-        "description": "Encodes a negative text prompt via CLIP for classifier-free guidance in anime-style generation (NetaYume Lumina)."
+        }
       }
     ]
   },
   "extra": {
     "ue_links": []
   }
-}
+}

blueprints/Text to Image (Qwen-Image 2512).json

@@ -1941,8 +1941,7 @@
         "extra": {
           "workflowRendererVersion": "Vue-corrected"
         },
-        "category": "Image generation and editing/Text to image",
-        "description": "Generates images from text prompts using Qwen-Image-2512, with enhanced human realism and finer natural detail over the base version."
+        "category": "Image generation and editing/Text to image"
       }
     ]
   },

blueprints/Text to Image (Qwen-Image).json

@@ -1873,8 +1873,7 @@
         "extra": {
           "workflowRendererVersion": "LG"
         },
-        "category": "Image generation and editing/Text to image",
-        "description": "Generates images from text prompts using Qwen-Image, Alibaba's 20B MMDiT model with excellent multilingual text rendering."
+        "category": "Image generation and editing/Text to image"
       }
     ]
   },

blueprints/Text to Image (Z-Image-Turbo).json

@@ -1,21 +1,22 @@
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+  "id": "1c3eaa76-5cfa-4dc7-8571-97a570324e01",
   "revision": 0,
-  "last_node_id": 57,
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@@ -43,22 +44,6 @@
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           "type": "COMBO",
@@ -95,15 +80,15 @@
       "properties": {
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+            "-1",
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@@ -112,23 +97,19 @@
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+            "control_after_generate"
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@@ -141,40 +122,48 @@
         "secondTabOffset": 80,
         "secondTabWidth": 65
       },
-      "widgets_values": [],
-      "title": "Text to Image (Z-Image-Turbo)"
+      "widgets_values": [
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+        1024,
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+        "z_image_turbo_bf16.safetensors",
+        "qwen_3_4b.safetensors",
+        "ae.safetensors"
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+          "lastNodeId": 34,
+          "lastLinkId": 40,
           "lastRerouteId": 0
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         "revision": 0,
         "config": {},
-        "name": "Text to Image (Z-Image-Turbo)",
+        "name": "local-Text to Image (Z-Image-Turbo)",
         "inputNode": {
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@@ -189,8 +178,8 @@
             ],
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@@ -201,8 +190,8 @@
               35
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@@ -213,68 +202,44 @@
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-            "id": "a20a1b30-785f-4a04-bb6d-3d61adab9764",
+            "id": "23087d15-8412-4fbd-b71e-9b6d7ef76de1",
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@@ -288,8 +253,8 @@
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@@ -299,15 +264,15 @@
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@@ -317,7 +282,7 @@
                 "widget": {
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+                "link": 39
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                 "localized_name": "type",
@@ -350,9 +315,9 @@
               }
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             "properties": {
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               "cnr_id": "comfy-core",
               "ver": "0.3.73",
+              "Node name for S&R": "CLIPLoader",
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@@ -378,15 +343,15 @@
             "id": 29,
             "type": "VAELoader",
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@@ -396,7 +361,7 @@
                 "widget": {
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+                "link": 40
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@@ -410,9 +375,9 @@
               }
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             "properties": {
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               "cnr_id": "comfy-core",
               "ver": "0.3.73",
+              "Node name for S&R": "VAELoader",
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@@ -436,12 +401,12 @@
             "id": 33,
             "type": "ConditioningZeroOut",
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@@ -465,9 +430,9 @@
               }
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               "cnr_id": "comfy-core",
               "ver": "0.3.73",
+              "Node name for S&R": "ConditioningZeroOut",
               "enableTabs": false,
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               "tabXOffset": 10,
@@ -475,21 +440,22 @@
               "secondTabText": "Send Back",
               "secondTabOffset": 80,
               "secondTabWidth": 65
-            }
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           {
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@@ -517,9 +483,9 @@
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             "properties": {
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               "cnr_id": "comfy-core",
               "ver": "0.3.64",
+              "Node name for S&R": "VAEDecode",
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@@ -527,21 +493,22 @@
               "secondTabText": "Send Back",
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               "secondTabWidth": 65
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           {
             "id": 28,
             "type": "UNETLoader",
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@@ -551,7 +518,7 @@
                 "widget": {
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+                "link": 38
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                 "localized_name": "weight_dtype",
@@ -574,9 +541,9 @@
               }
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             "properties": {
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               "cnr_id": "comfy-core",
               "ver": "0.3.73",
+              "Node name for S&R": "UNETLoader",
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@@ -601,15 +568,15 @@
             "id": 27,
             "type": "CLIPTextEncode",
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@@ -640,9 +607,9 @@
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               "ver": "0.3.73",
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@@ -659,15 +626,15 @@
             "id": 13,
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@@ -710,9 +677,9 @@
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@@ -727,77 +694,19 @@
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-              "secondTabText": "Send Back",
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@@ -831,7 +740,7 @@
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@@ -840,7 +749,7 @@
                 "widget": {
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                 "localized_name": "cfg",
@@ -891,9 +800,9 @@
               }
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             "properties": {
-              "Node name for S&R": "KSampler",
               "cnr_id": "comfy-core",
               "ver": "0.3.64",
+              "Node name for S&R": "KSampler",
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@@ -905,23 +814,81 @@
             "widgets_values": [
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+                "name": "MODEL",
+                "type": "MODEL",
+                "slot_index": 0,
+                "links": [
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+              "ver": "0.3.64",
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+              "hasSecondTab": false,
+              "secondTabText": "Send Back",
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         "groups": [
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             "id": 2,
-            "title": "Step2 - Image size",
+            "title": "Image size",
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             "font_size": 24,
@@ -929,12 +896,12 @@
           },
           {
             "id": 3,
-            "title": "Step3 - Prompt",
+            "title": "Prompt",
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@@ -942,12 +909,12 @@
           },
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             "id": 4,
-            "title": "Step1 - Load models",
+            "title": "Models",
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@@ -1060,41 +1027,25 @@
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@@ -1103,10 +1054,25 @@
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-        "category": "Image generation and editing/Text to image",
-        "description": "Generates images from text prompts using Z-Image-Turbo, Alibaba's distilled 6B DiT model."
+        "category": "Image generation and editing/Text to image"
       }
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+  "config": {},
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+}

blueprints/Text to Video (LTX-2.3).json

@@ -4286,8 +4286,7 @@
         "extra": {
           "workflowRendererVersion": "Vue-corrected"
         },
-        "category": "Video generation and editing/Text to video",
-        "description": "Generates video from text prompts using LTX-2.3, Lightricks' video diffusion model."
+        "category": "Video generation and editing/Text to video"
       }
     ]
   },

blueprints/Text to Video (Wan 2.2).json

@@ -1572,8 +1572,7 @@
         "extra": {
           "workflowRendererVersion": "LG"
         },
-        "category": "Video generation and editing/Text to video",
-        "description": "Generates video from text prompts using Wan2.2, Alibaba's diffusion video model."
+        "category": "Video generation and editing/Text to video"
       }
     ]
   },
@@ -1587,4 +1586,4 @@
     "VHS_KeepIntermediate": true
   },
   "version": 0.4
-}
+}

blueprints/Unsharp Mask.json

@@ -434,9 +434,8 @@
         "extra": {
           "workflowRendererVersion": "LG"
         },
-        "category": "Image Tools/Sharpen",
-        "description": "Enhances edge contrast via unsharp masking for a sharper image appearance."
+        "category": "Image Tools/Sharpen"
       }
     ]
   }
-}
+}

blueprints/Video Captioning (Gemini).json

@@ -307,9 +307,8 @@
         "extra": {
           "workflowRendererVersion": "LG"
         },
-        "category": "Video Tools",
-        "description": "Generates descriptive captions for video input using Google's Gemini multimodal LLM."
+        "category": "Text generation/Video Captioning"
       }
     ]
   }
-}
+}

blueprints/Video Segmentation (SAM3).json

@@ -1,827 +0,0 @@
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blueprints/Video Stitch.json

@@ -1,21 +1,21 @@
 {
   "revision": 0,
-  "last_node_id": 85,
+  "last_node_id": 84,
   "last_link_id": 0,
   "nodes": [
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@@ -76,26 +76,31 @@
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         ],
         "cnr_id": "comfy-core",
         "ver": "0.13.0"
       },
-      "widgets_values": [],
+      "widgets_values": [
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+        0,
+        "white"
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       "title": "Video Stitch"
     }
   ],
@@ -104,12 +109,12 @@
   "definitions": {
     "subgraphs": [
       {
-        "id": "637913e7-0206-46ba-8ded-70ae3a7c2e19",
+        "id": "8e8aa94a-647e-436d-8440-8ee4691864de",
         "version": 1,
         "state": {
           "lastGroupId": 1,
-          "lastNodeId": 97,
-          "lastLinkId": 282,
+          "lastNodeId": 84,
+          "lastLinkId": 262,
           "lastRerouteId": 0
         },
         "revision": 0,
@@ -118,8 +123,8 @@
         "inputNode": {
           "id": -10,
           "bounding": [
-            -6810,
-            2580,
+            -6580,
+            2649,
             143.55859375,
             160
           ]
@@ -127,8 +132,8 @@
         "outputNode": {
           "id": -20,
           "bounding": [
-            -4770,
-            2600,
+            -5720,
+            2659,
             120,
             60
           ]
@@ -144,8 +149,8 @@
             "localized_name": "video",
             "label": "Before Video",
             "pos": [
-              -6686.44140625,
-              2600
+              -6456.44140625,
+              2669
             ]
           },
           {
@@ -158,8 +163,8 @@
             "localized_name": "video_1",
             "label": "After Video",
             "pos": [
-              -6686.44140625,
-              2620
+              -6456.44140625,
+              2689
             ]
           },
           {
@@ -170,8 +175,8 @@
               259
             ],
             "pos": [
-              -6686.44140625,
-              2640
+              -6456.44140625,
+              2709
             ]
           },
           {
@@ -182,8 +187,8 @@
               260
             ],
             "pos": [
-              -6686.44140625,
-              2660
+              -6456.44140625,
+              2729
             ]
           },
           {
@@ -194,8 +199,8 @@
               261
             ],
             "pos": [
-              -6686.44140625,
-              2680
+              -6456.44140625,
+              2749
             ]
           },
           {
@@ -206,8 +211,8 @@
               262
             ],
             "pos": [
-              -6686.44140625,
-              2700
+              -6456.44140625,
+              2769
             ]
           }
         ],
@@ -221,8 +226,8 @@
             ],
             "localized_name": "VIDEO",
             "pos": [
-              -4750,
-              2620
+              -5700,
+              2679
             ]
           }
         ],
@@ -233,11 +238,11 @@
             "type": "GetVideoComponents",
             "pos": [
               -6390,
-              2600
+              2560
             ],
             "size": [
-              230,
-              120
+              193.530859375,
+              66
             ],
             "flags": {},
             "order": 1,
@@ -273,9 +278,9 @@
               }
             ],
             "properties": {
-              "Node name for S&R": "GetVideoComponents",
               "cnr_id": "comfy-core",
-              "ver": "0.13.0"
+              "ver": "0.13.0",
+              "Node name for S&R": "GetVideoComponents"
             }
           },
           {
@@ -286,8 +291,8 @@
               2420
             ],
             "size": [
-              230,
-              120
+              193.530859375,
+              66
             ],
             "flags": {},
             "order": 0,
@@ -327,254 +332,21 @@
               }
             ],
             "properties": {
-              "Node name for S&R": "GetVideoComponents",
               "cnr_id": "comfy-core",
-              "ver": "0.13.0"
+              "ver": "0.13.0",
+              "Node name for S&R": "GetVideoComponents"
             }
           },
-          {
-            "id": 90,
-            "type": "GetImageSize",
-            "pos": [
-              -6390,
-              3030
-            ],
-            "size": [
-              230,
-              120
-            ],
-            "flags": {},
-            "order": 4,
-            "mode": 0,
-            "inputs": [
-              {
-                "localized_name": "image",
-                "name": "image",
-                "type": "IMAGE",
-                "link": 266
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "width",
-                "name": "width",
-                "type": "INT",
-                "links": [
-                  274
-                ]
-              },
-              {
-                "localized_name": "height",
-                "name": "height",
-                "type": "INT",
-                "links": [
-                  276
-                ]
-              },
-              {
-                "localized_name": "batch_size",
-                "name": "batch_size",
-                "type": "INT",
-                "links": null
-              }
-            ],
-            "properties": {
-              "Node name for S&R": "GetImageSize"
-            }
-          },
-          {
-            "id": 80,
-            "type": "CreateVideo",
-            "pos": [
-              -5190,
-              2420
-            ],
-            "size": [
-              270,
-              130
-            ],
-            "flags": {},
-            "order": 3,
-            "mode": 0,
-            "inputs": [
-              {
-                "localized_name": "images",
-                "name": "images",
-                "type": "IMAGE",
-                "link": 282
-              },
-              {
-                "localized_name": "audio",
-                "name": "audio",
-                "shape": 7,
-                "type": "AUDIO",
-                "link": 251
-              },
-              {
-                "localized_name": "fps",
-                "name": "fps",
-                "type": "FLOAT",
-                "widget": {
-                  "name": "fps"
-                },
-                "link": 252
-              }
-            ],
-            "outputs": [
-              {
-                "localized_name": "VIDEO",
-                "name": "VIDEO",
-                "type": "VIDEO",
-                "links": [
-                  255
-                ]
-              }
-            ],
-            "properties": {
-              "Node name for S&R": "CreateVideo",
-              "cnr_id": "comfy-core",
-              "ver": "0.13.0"
-            },
-            "widgets_values": [
-              30
-            ]
-          },
-          {
-            "id": 95,
-            "type": "ComfyMathExpression",
-            "pos": [
-              -6040,
-              3020
-            ],
-            "size": [
-              400,
-              200
-            ],
-            "flags": {},
-            "order": 5,
-            "mode": 0,
-            "inputs": [
-              {
-                "label": "a",
-                "localized_name": "values.a",
-                "name": "values.a",
-                "type": "FLOAT,INT",
-                "link": 274
-              },
-              {
-                "label": "b",
-                "localized_name": "values.b",
-                "name": "values.b",
-                "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": [
-                  279
-                ]
-              }
-            ],
-            "properties": {
-              "Node name for S&R": "ComfyMathExpression"
-            },
-            "widgets_values": [
-              "a & ~1"
-            ]
-          },
-          {
-            "id": 96,
-            "type": "ComfyMathExpression",
-            "pos": [
-              -6040,
-              3290
-            ],
-            "size": [
-              400,
-              200
-            ],
-            "flags": {},
-            "order": 6,
-            "mode": 0,
-            "inputs": [
-              {
-                "label": "a",
-                "localized_name": "values.a",
-                "name": "values.a",
-                "type": "FLOAT,INT",
-                "link": 276
-              },
-              {
-                "label": "b",
-                "localized_name": "values.b",
-                "name": "values.b",
-                "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": [
-                  280
-                ]
-              }
-            ],
-            "properties": {
-              "Node name for S&R": "ComfyMathExpression"
-            },
-            "widgets_values": [
-              "a & ~1"
-            ]
-          },
           {
             "id": 79,
             "type": "ImageStitch",
             "pos": [
               -6390,
-              2780
+              2700
             ],
             "size": [
               270,
-              160
+              150
             ],
             "flags": {},
             "order": 2,
@@ -636,15 +408,14 @@
                 "name": "IMAGE",
                 "type": "IMAGE",
                 "links": [
-                  266,
-                  281
+                  250
                 ]
               }
             ],
             "properties": {
-              "Node name for S&R": "ImageStitch",
               "cnr_id": "comfy-core",
-              "ver": "0.13.0"
+              "ver": "0.13.0",
+              "Node name for S&R": "ImageStitch"
             },
             "widgets_values": [
               "right",
@@ -654,91 +425,60 @@
             ]
           },
           {
-            "id": 97,
-            "type": "ResizeImageMaskNode",
+            "id": 80,
+            "type": "CreateVideo",
             "pos": [
-              -5560,
-              2790
+              -6040,
+              2610
             ],
             "size": [
               270,
-              160
+              78
             ],
             "flags": {},
-            "order": 7,
+            "order": 3,
             "mode": 0,
             "inputs": [
               {
-                "localized_name": "input",
-                "name": "input",
-                "type": "IMAGE,MASK",
-                "link": 281
+                "localized_name": "images",
+                "name": "images",
+                "type": "IMAGE",
+                "link": 250
               },
               {
-                "localized_name": "resize_type",
-                "name": "resize_type",
-                "type": "COMFY_DYNAMICCOMBO_V3",
-                "widget": {
-                  "name": "resize_type"
-                },
-                "link": null
+                "localized_name": "audio",
+                "name": "audio",
+                "shape": 7,
+                "type": "AUDIO",
+                "link": 251
               },
               {
-                "localized_name": "width",
-                "name": "resize_type.width",
-                "type": "INT",
+                "localized_name": "fps",
+                "name": "fps",
+                "type": "FLOAT",
                 "widget": {
-                  "name": "resize_type.width"
+                  "name": "fps"
                 },
-                "link": 279
-              },
-              {
-                "localized_name": "height",
-                "name": "resize_type.height",
-                "type": "INT",
-                "widget": {
-                  "name": "resize_type.height"
-                },
-                "link": 280
-              },
-              {
-                "localized_name": "crop",
-                "name": "resize_type.crop",
-                "type": "COMBO",
-                "widget": {
-                  "name": "resize_type.crop"
-                },
-                "link": null
-              },
-              {
-                "localized_name": "scale_method",
-                "name": "scale_method",
-                "type": "COMBO",
-                "widget": {
-                  "name": "scale_method"
-                },
-                "link": null
+                "link": 252
               }
             ],
             "outputs": [
               {
-                "localized_name": "resized",
-                "name": "resized",
-                "type": "*",
+                "localized_name": "VIDEO",
+                "name": "VIDEO",
+                "type": "VIDEO",
                 "links": [
-                  282
+                  255
                 ]
               }
             ],
             "properties": {
-              "Node name for S&R": "ResizeImageMaskNode"
+              "cnr_id": "comfy-core",
+              "ver": "0.13.0",
+              "Node name for S&R": "CreateVideo"
             },
             "widgets_values": [
-              "scale dimensions",
-              512,
-              512,
-              "center",
-              "area"
+              30
             ]
           }
         ],
@@ -760,6 +500,14 @@
             "target_slot": 1,
             "type": "IMAGE"
           },
+          {
+            "id": 250,
+            "origin_id": 79,
+            "origin_slot": 0,
+            "target_id": 80,
+            "target_slot": 0,
+            "type": "IMAGE"
+          },
           {
             "id": 251,
             "origin_id": 77,
@@ -831,71 +579,13 @@
             "target_id": 79,
             "target_slot": 5,
             "type": "COMBO"
-          },
-          {
-            "id": 266,
-            "origin_id": 79,
-            "origin_slot": 0,
-            "target_id": 90,
-            "target_slot": 0,
-            "type": "IMAGE"
-          },
-          {
-            "id": 274,
-            "origin_id": 90,
-            "origin_slot": 0,
-            "target_id": 95,
-            "target_slot": 0,
-            "type": "INT"
-          },
-          {
-            "id": 276,
-            "origin_id": 90,
-            "origin_slot": 1,
-            "target_id": 96,
-            "target_slot": 0,
-            "type": "INT"
-          },
-          {
-            "id": 279,
-            "origin_id": 95,
-            "origin_slot": 1,
-            "target_id": 97,
-            "target_slot": 2,
-            "type": "INT"
-          },
-          {
-            "id": 280,
-            "origin_id": 96,
-            "origin_slot": 1,
-            "target_id": 97,
-            "target_slot": 3,
-            "type": "INT"
-          },
-          {
-            "id": 281,
-            "origin_id": 79,
-            "origin_slot": 0,
-            "target_id": 97,
-            "target_slot": 0,
-            "type": "IMAGE"
-          },
-          {
-            "id": 282,
-            "origin_id": 97,
-            "origin_slot": 0,
-            "target_id": 80,
-            "target_slot": 0,
-            "type": "IMAGE"
           }
         ],
         "extra": {
           "workflowRendererVersion": "LG"
         },
-        "category": "Video Tools/Stitch videos",
-        "description": "Stitches multiple video clips into a single sequential video file."
+        "category": "Video Tools/Stitch videos"
       }
     ]
-  },
-  "extra": {}
-}
+  }
+}

blueprints/Video Upscale(GAN x4).json

@@ -412,10 +412,9 @@
         "extra": {
           "workflowRendererVersion": "LG"
         },
-        "category": "Video generation and editing/Upscale",
-        "description": "Upscales video to 4× resolution using a GAN-based upscaling model."
+        "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

@@ -1,85 +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)
-
-        if pixel_values.shape[0] > 1:
-            out = torch.cat([
-                self.model(pixel_values=pixel_values[i:i+1])
-                for i in range(pixel_values.shape[0])
-            ], dim=0)
-        else:
-            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)