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2 Commits
blueprints
...
feat/api-n
| Author | SHA1 | Date | |
|---|---|---|---|
| bc1a2188e7 | |||
| e3b8436a90 |
@ -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,
|
||||
|
||||
@ -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
|
||||
|
||||
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
@ -1553,7 +1553,7 @@
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||||
"VHS_MetadataImage": true,
|
||||
"VHS_KeepIntermediate": true
|
||||
},
|
||||
"category": "Image generation and editing/Conditioned",
|
||||
"category": "Image generation and editing/Canny to image",
|
||||
"description": "Generates an image from a Canny edge map using Z-Image-Turbo, with text conditioning."
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||||
}
|
||||
]
|
||||
|
||||
@ -3600,7 +3600,7 @@
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||||
"extra": {
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||||
"workflowRendererVersion": "LG"
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||||
},
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||||
"category": "Video generation and editing/Conditioned",
|
||||
"category": "Video generation and editing/Canny to video",
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||||
"description": "Generates video from Canny edge maps using LTX-2, with optional synchronized audio."
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||||
}
|
||||
]
|
||||
|
||||
@ -1401,7 +1401,7 @@
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||||
"extra": {
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||||
"workflowRendererVersion": "LG"
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||||
},
|
||||
"category": "Image generation and editing/Conditioned",
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||||
"category": "Image generation and editing/ControlNet",
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||||
"description": "Generates images from a text prompt and ControlNet conditioning (e.g. depth, canny) using Z-Image-Turbo."
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||||
}
|
||||
]
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||||
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@ -1579,7 +1579,7 @@
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"VHS_MetadataImage": true,
|
||||
"VHS_KeepIntermediate": true
|
||||
},
|
||||
"category": "Image generation and editing/Conditioned",
|
||||
"category": "Image generation and editing/Depth to image",
|
||||
"description": "Generates an image from a depth map using Z-Image-Turbo with text conditioning."
|
||||
},
|
||||
{
|
||||
|
||||
@ -4233,7 +4233,7 @@
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||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Video generation and editing/Conditioned",
|
||||
"category": "Video generation and editing/Depth to video",
|
||||
"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."
|
||||
},
|
||||
{
|
||||
|
||||
@ -3350,7 +3350,7 @@
|
||||
}
|
||||
],
|
||||
"extra": {},
|
||||
"category": "Video generation and editing/Conditioned",
|
||||
"category": "Video generation and editing/First-Last-Frame to Video",
|
||||
"description": "Generates a video interpolating between first and last keyframes using LTX-2.3."
|
||||
}
|
||||
]
|
||||
|
||||
@ -3350,7 +3350,7 @@
|
||||
}
|
||||
],
|
||||
"extra": {},
|
||||
"category": "Video generation and editing/FLF2V",
|
||||
"category": "Video generation and editing/First-Last-Frame to Video",
|
||||
"description": "Generates a video that interpolates between the first and last keyframes using LTX-2.3, including optional audio."
|
||||
}
|
||||
]
|
||||
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File diff suppressed because it is too large
Load Diff
@ -310,9 +310,9 @@
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"extra": {
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||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image Tools",
|
||||
"category": "Text generation/Image Captioning",
|
||||
"description": "Generates descriptive captions for images using Google's Gemini multimodal LLM."
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
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File diff suppressed because it is too large
Load Diff
@ -1,779 +0,0 @@
|
||||
{
|
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"revision": 0,
|
||||
"last_node_id": 33,
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"last_link_id": 0,
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"nodes": [
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{
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"id": 33,
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"type": "6062babb-b649-4a71-be9e-20ebce567744",
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"pos": [
|
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-450,
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4240
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],
|
||||
"size": [
|
||||
420,
|
||||
400
|
||||
],
|
||||
"flags": {},
|
||||
"order": 0,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"localized_name": "image",
|
||||
"name": "image",
|
||||
"type": "IMAGE",
|
||||
"link": null
|
||||
},
|
||||
{
|
||||
"name": "face_landmarker",
|
||||
"type": "FACE_LANDMARKER",
|
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"link": null
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},
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{
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"name": "detector_variant",
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"type": "COMBO",
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"widget": {
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"name": "detector_variant"
|
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},
|
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"link": null
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},
|
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{
|
||||
"name": "num_faces",
|
||||
"type": "INT",
|
||||
"widget": {
|
||||
"name": "num_faces"
|
||||
},
|
||||
"link": null
|
||||
},
|
||||
{
|
||||
"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
|
||||
},
|
||||
{
|
||||
"label": "custom_right_eye",
|
||||
"name": "regions.right_eye",
|
||||
"type": "BOOLEAN",
|
||||
"widget": {
|
||||
"name": "regions.right_eye"
|
||||
},
|
||||
"link": null
|
||||
},
|
||||
{
|
||||
"label": "custom_irises",
|
||||
"name": "regions.irises",
|
||||
"type": "BOOLEAN",
|
||||
"widget": {
|
||||
"name": "regions.irises"
|
||||
},
|
||||
"link": null
|
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},
|
||||
{
|
||||
"name": "model_name",
|
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"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": {
|
||||
"proxyWidgets": [
|
||||
[
|
||||
"11",
|
||||
"detector_variant"
|
||||
],
|
||||
[
|
||||
"11",
|
||||
"num_faces"
|
||||
],
|
||||
[
|
||||
"20",
|
||||
"regions.face_oval"
|
||||
],
|
||||
[
|
||||
"20",
|
||||
"regions.lips"
|
||||
],
|
||||
[
|
||||
"20",
|
||||
"regions.left_eye"
|
||||
],
|
||||
[
|
||||
"20",
|
||||
"regions.right_eye"
|
||||
],
|
||||
[
|
||||
"20",
|
||||
"regions.irises"
|
||||
],
|
||||
[
|
||||
"2",
|
||||
"model_name"
|
||||
]
|
||||
],
|
||||
"cnr_id": "comfy-core",
|
||||
"ver": "0.22.0",
|
||||
"enableTabs": false,
|
||||
"tabWidth": 65,
|
||||
"tabXOffset": 10,
|
||||
"hasSecondTab": false,
|
||||
"secondTabText": "Send Back",
|
||||
"secondTabOffset": 80,
|
||||
"secondTabWidth": 65
|
||||
},
|
||||
"widgets_values": []
|
||||
}
|
||||
],
|
||||
"links": [],
|
||||
"version": 0.4,
|
||||
"definitions": {
|
||||
"subgraphs": [
|
||||
{
|
||||
"id": "6062babb-b649-4a71-be9e-20ebce567744",
|
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"version": 1,
|
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"state": {
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"lastGroupId": 2,
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"lastRerouteId": 0
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},
|
||||
"revision": 0,
|
||||
"config": {},
|
||||
"name": "Image Face Detection (Mediapipe)",
|
||||
"description": "Detects facial landmarks from an image using MediaPipe, outputting landmark data, face bounding boxes, and an optional face-region mask.",
|
||||
"inputNode": {
|
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"id": -10,
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"bounding": [
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"outputNode": {
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"id": "705dc1ae-6dc9-4155-92df-52f816ad451e",
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"name": "image",
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||||
"type": "IMAGE",
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||||
"linkIds": [
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],
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"localized_name": "image",
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"pos": [
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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||||
},
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||||
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|
||||
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||||
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|
||||
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||||
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||||
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|
||||
],
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||||
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||||
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||||
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||||
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||||
},
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
],
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||||
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||||
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||||
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||||
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||||
]
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||||
}
|
||||
],
|
||||
"widgets": [],
|
||||
"nodes": [
|
||||
{
|
||||
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|
||||
"type": "MediaPipeFaceLandmarker",
|
||||
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|
||||
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|
||||
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||||
],
|
||||
"size": [
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||||
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||||
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|
||||
],
|
||||
"flags": {},
|
||||
"order": 1,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"localized_name": "face_detection_model",
|
||||
"name": "face_detection_model",
|
||||
"type": "FACE_DETECTION_MODEL",
|
||||
"link": 66
|
||||
},
|
||||
{
|
||||
"localized_name": "image",
|
||||
"name": "image",
|
||||
"type": "IMAGE",
|
||||
"link": 60
|
||||
},
|
||||
{
|
||||
"localized_name": "detector_variant",
|
||||
"name": "detector_variant",
|
||||
"type": "COMBO",
|
||||
"widget": {
|
||||
"name": "detector_variant"
|
||||
},
|
||||
"link": 75
|
||||
},
|
||||
{
|
||||
"localized_name": "num_faces",
|
||||
"name": "num_faces",
|
||||
"type": "INT",
|
||||
"widget": {
|
||||
"name": "num_faces"
|
||||
},
|
||||
"link": 76
|
||||
},
|
||||
{
|
||||
"localized_name": "min_confidence",
|
||||
"name": "min_confidence",
|
||||
"type": "FLOAT",
|
||||
"widget": {
|
||||
"name": "min_confidence"
|
||||
},
|
||||
"link": null
|
||||
},
|
||||
{
|
||||
"localized_name": "missing_frame_fallback",
|
||||
"name": "missing_frame_fallback",
|
||||
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@ -703,7 +703,7 @@
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File diff suppressed because it is too large
Load Diff
@ -1298,7 +1298,7 @@
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||||
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@ -3870,7 +3870,7 @@
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||||
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@ -270,7 +270,7 @@
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||||
"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": {}
|
||||
}
|
||||
File diff suppressed because it is too large
Load Diff
@ -307,9 +307,9 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Video Tools",
|
||||
"category": "Text generation/Video Captioning",
|
||||
"description": "Generates descriptive captions for video input using Google's Gemini multimodal LLM."
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
2388
blueprints/Video Inpaint(Wan2.1 VACE).json
Normal file
2388
blueprints/Video Inpaint(Wan2.1 VACE).json
Normal file
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
@ -818,7 +818,7 @@
|
||||
}
|
||||
],
|
||||
"extra": {},
|
||||
"category": "Conditioning & Preprocessors/Segmentation & Mask",
|
||||
"category": "Video Tools",
|
||||
"description": "Segments video into temporally consistent masks using Meta SAM3 from text or interactive prompts."
|
||||
}
|
||||
]
|
||||
|
||||
@ -412,7 +412,7 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Video generation and editing/Upscale",
|
||||
"category": "Video generation and editing/Enhance video",
|
||||
"description": "Upscales video to 4× resolution using a GAN-based upscaling model."
|
||||
}
|
||||
]
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@ -158,8 +158,9 @@ class SeedanceCreateAssetResponse(BaseModel):
|
||||
|
||||
|
||||
class SeedanceVirtualLibraryCreateAssetRequest(BaseModel):
|
||||
url: str = Field(..., description="Publicly accessible URL of the image asset to upload.")
|
||||
url: str = Field(..., description="Publicly accessible URL of the asset to upload.")
|
||||
hash: str = Field(..., description="Dedup key. Re-submitting the same hash returns the existing asset id.")
|
||||
asset_type: str | None = Field(None, description="BytePlus asset type. Defaults to Image server-side when omitted.")
|
||||
|
||||
|
||||
# Dollars per 1K tokens, keyed by (model_id, has_video_input).
|
||||
|
||||
@ -2,11 +2,12 @@ import hashlib
|
||||
import logging
|
||||
import math
|
||||
import re
|
||||
from io import BytesIO
|
||||
|
||||
import torch
|
||||
from typing_extensions import override
|
||||
|
||||
from comfy_api.latest import IO, ComfyExtension, Input
|
||||
from comfy_api.latest import IO, ComfyExtension, Input, Types
|
||||
from comfy_api_nodes.apis.bytedance import (
|
||||
RECOMMENDED_PRESETS,
|
||||
RECOMMENDED_PRESETS_SEEDREAM_4,
|
||||
@ -308,6 +309,26 @@ async def _seedance_virtual_library_upload_image_asset(
|
||||
return f"asset://{create_resp.asset_id}"
|
||||
|
||||
|
||||
async def _seedance_virtual_library_upload_video_asset(
|
||||
cls: type[IO.ComfyNode],
|
||||
video: Input.Video,
|
||||
*,
|
||||
wait_label: str = "Uploading video",
|
||||
) -> str:
|
||||
buf = BytesIO()
|
||||
video.save_to(buf, format=Types.VideoContainer.MP4, codec=Types.VideoCodec.H264)
|
||||
video_hash = hashlib.sha256(buf.getbuffer()).hexdigest()
|
||||
public_url = await upload_video_to_comfyapi(cls, video, wait_label=wait_label)
|
||||
create_resp = await sync_op(
|
||||
cls,
|
||||
ApiEndpoint(path="/proxy/seedance/virtual-library/assets", method="POST"),
|
||||
response_model=SeedanceCreateAssetResponse,
|
||||
data=SeedanceVirtualLibraryCreateAssetRequest(url=public_url, hash=video_hash, asset_type="Video"),
|
||||
)
|
||||
await _wait_for_asset_active(cls, create_resp.asset_id, group_id="virtual-library")
|
||||
return f"asset://{create_resp.asset_id}"
|
||||
|
||||
|
||||
def _seedance2_price_extractor(model_id: str, has_video_input: bool):
|
||||
"""Returns a price_extractor closure for Seedance 2.0 poll_op."""
|
||||
rate = SEEDANCE2_PRICE_PER_1K_TOKENS.get((model_id, has_video_input))
|
||||
@ -2106,7 +2127,7 @@ class ByteDance2ReferenceNode(IO.ComfyNode):
|
||||
content.append(
|
||||
TaskVideoContent(
|
||||
video_url=TaskVideoContentUrl(
|
||||
url=await upload_video_to_comfyapi(
|
||||
url=await _seedance_virtual_library_upload_video_asset(
|
||||
cls,
|
||||
reference_videos[key],
|
||||
wait_label=f"Uploading video {i}",
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
comfyui-frontend-package==1.44.19
|
||||
comfyui-workflow-templates==0.9.82
|
||||
comfyui-embedded-docs==0.5.1
|
||||
comfyui-embedded-docs==0.5.0
|
||||
torch
|
||||
torchsde
|
||||
torchvision
|
||||
|
||||
@ -236,8 +236,6 @@ def seeded_asset(request: pytest.FixtureRequest, http: requests.Session, api_bas
|
||||
r = http.post(api_base + "/api/assets", files=files, data=form_data, timeout=120)
|
||||
body = r.json()
|
||||
assert r.status_code == 201, body
|
||||
from helpers import assert_hash_fields_consistent
|
||||
assert_hash_fields_consistent(body)
|
||||
return body
|
||||
|
||||
|
||||
|
||||
@ -26,26 +26,3 @@ def trigger_sync_seed_assets(session: requests.Session, base_url: str) -> None:
|
||||
|
||||
def get_asset_filename(asset_hash: str, extension: str) -> str:
|
||||
return asset_hash.removeprefix("blake3:") + extension
|
||||
|
||||
|
||||
def assert_hash_fields_consistent(body: dict, expected_hash: str | None = None) -> None:
|
||||
"""Assert hash and asset_hash invariants on an Asset response.
|
||||
|
||||
Both must be present or both absent (so a regression that drops only one
|
||||
is caught). When present, they must equal each other and, if expected_hash
|
||||
is provided, must equal that value.
|
||||
"""
|
||||
hash_present = "hash" in body
|
||||
asset_hash_present = "asset_hash" in body
|
||||
assert hash_present == asset_hash_present, (
|
||||
f"hash and asset_hash must both be present or both absent: "
|
||||
f"hash present={hash_present}, asset_hash present={asset_hash_present}"
|
||||
)
|
||||
if hash_present:
|
||||
h = body["hash"]
|
||||
ah = body["asset_hash"]
|
||||
assert h == ah, f"hash and asset_hash must match: hash={h!r}, asset_hash={ah!r}"
|
||||
if expected_hash is not None:
|
||||
assert h == expected_hash, (
|
||||
f"hash must equal expected: got {h!r}, expected {expected_hash!r}"
|
||||
)
|
||||
|
||||
@ -40,9 +40,7 @@ def test_seed_asset_removed_when_file_is_deleted(
|
||||
# there should be exactly one with that name
|
||||
matches = [a for a in body1.get("assets", []) if a.get("name") == name]
|
||||
assert matches
|
||||
# Seed assets have no hash; exclude_none drops both keys from the response
|
||||
assert "asset_hash" not in matches[0]
|
||||
assert "hash" not in matches[0]
|
||||
assert matches[0].get("asset_hash") is None
|
||||
asset_info_id = matches[0]["id"]
|
||||
|
||||
# Remove the underlying file and sync again
|
||||
|
||||
@ -21,8 +21,6 @@ def test_create_from_hash_success(
|
||||
b1 = r1.json()
|
||||
assert r1.status_code == 201, b1
|
||||
assert b1["asset_hash"] == h
|
||||
assert b1["hash"] == h
|
||||
assert b1["hash"] == b1["asset_hash"]
|
||||
assert b1["created_new"] is False
|
||||
aid = b1["id"]
|
||||
|
||||
@ -41,7 +39,6 @@ def test_get_and_delete_asset(http: requests.Session, api_base: str, seeded_asse
|
||||
detail = rg.json()
|
||||
assert rg.status_code == 200, detail
|
||||
assert detail["id"] == aid
|
||||
assert detail["hash"] == detail["asset_hash"]
|
||||
assert "user_metadata" in detail
|
||||
assert "filename" in detail["user_metadata"]
|
||||
|
||||
@ -100,7 +97,6 @@ def test_delete_upon_reference_count(
|
||||
copy = r2.json()
|
||||
assert r2.status_code == 201, copy
|
||||
assert copy["asset_hash"] == src_hash
|
||||
assert copy["hash"] == src_hash
|
||||
assert copy["created_new"] is False
|
||||
|
||||
# Soft-delete original reference (default) -> asset identity must remain
|
||||
@ -143,7 +139,6 @@ def test_update_asset_fields(http: requests.Session, api_base: str, seeded_asset
|
||||
body = ru.json()
|
||||
assert ru.status_code == 200, body
|
||||
assert body["name"] == payload["name"]
|
||||
assert body["hash"] == body["asset_hash"]
|
||||
assert body["tags"] == original_tags # tags unchanged
|
||||
assert body["user_metadata"]["purpose"] == "updated"
|
||||
# filename should still be present and normalized by server
|
||||
@ -294,9 +289,7 @@ def test_metadata_filename_is_set_for_seed_asset_without_hash(
|
||||
assert r1.status_code == 200, body
|
||||
matches = [a for a in body.get("assets", []) if a.get("name") == name]
|
||||
assert matches, "Seed asset should be visible after sync"
|
||||
# Seed assets have no hash; exclude_none drops both keys from the response
|
||||
assert "asset_hash" not in matches[0]
|
||||
assert "hash" not in matches[0]
|
||||
assert matches[0].get("asset_hash") is None # still a seed
|
||||
aid = matches[0]["id"]
|
||||
|
||||
r2 = http.get(f"{api_base}/api/assets/{aid}", timeout=120)
|
||||
|
||||
@ -3,7 +3,6 @@ import uuid
|
||||
|
||||
import pytest
|
||||
import requests
|
||||
from helpers import assert_hash_fields_consistent
|
||||
|
||||
|
||||
def test_list_assets_paging_and_sort(http: requests.Session, api_base: str, asset_factory, make_asset_bytes):
|
||||
@ -27,10 +26,6 @@ def test_list_assets_paging_and_sort(http: requests.Session, api_base: str, asse
|
||||
got1 = [a["name"] for a in b1["assets"]]
|
||||
assert got1 == sorted(names)[:2]
|
||||
assert b1["has_more"] is True
|
||||
# Populated assets in list responses must carry both `hash` and `asset_hash` consistently
|
||||
for asset in b1["assets"]:
|
||||
assert_hash_fields_consistent(asset)
|
||||
assert "hash" in asset, "populated asset must emit hash on list endpoint"
|
||||
|
||||
r2 = http.get(
|
||||
api_base + "/api/assets",
|
||||
|
||||
@ -5,20 +5,6 @@ from concurrent.futures import ThreadPoolExecutor
|
||||
import requests
|
||||
import pytest
|
||||
|
||||
from app.assets.api.schemas_out import Asset, AssetCreated
|
||||
|
||||
|
||||
def test_asset_created_inherits_hash_field():
|
||||
"""AssetCreated must inherit `hash` from Asset so POST /api/assets responses emit it.
|
||||
|
||||
Schema-level guard: integration tests cover the wire shape, but inheritance
|
||||
drift (e.g. AssetCreated ever being redefined to no longer extend Asset)
|
||||
would silently drop `hash` from a major endpoint without this check.
|
||||
"""
|
||||
assert "hash" in Asset.model_fields
|
||||
assert "hash" in AssetCreated.model_fields
|
||||
assert AssetCreated.model_fields["hash"].annotation == Asset.model_fields["hash"].annotation
|
||||
|
||||
|
||||
def test_upload_ok_duplicate_reference(http: requests.Session, api_base: str, make_asset_bytes):
|
||||
name = "dup_a.safetensors"
|
||||
@ -31,7 +17,6 @@ def test_upload_ok_duplicate_reference(http: requests.Session, api_base: str, ma
|
||||
a1 = r1.json()
|
||||
assert r1.status_code == 201, a1
|
||||
assert a1["created_new"] is True
|
||||
assert a1["hash"] == a1["asset_hash"]
|
||||
|
||||
# Second upload with the same data and name creates a new AssetReference (duplicates allowed)
|
||||
# Returns 200 because Asset already exists, but a new AssetReference is created
|
||||
@ -41,7 +26,6 @@ def test_upload_ok_duplicate_reference(http: requests.Session, api_base: str, ma
|
||||
a2 = r2.json()
|
||||
assert r2.status_code in (200, 201), a2
|
||||
assert a2["asset_hash"] == a1["asset_hash"]
|
||||
assert a2["hash"] == a1["hash"]
|
||||
assert a2["id"] != a1["id"] # new reference with same content
|
||||
|
||||
# Third upload with the same data but different name also creates new AssetReference
|
||||
@ -66,7 +50,6 @@ def test_upload_fastpath_from_existing_hash_no_file(http: requests.Session, api_
|
||||
b1 = r1.json()
|
||||
assert r1.status_code == 201, b1
|
||||
h = b1["asset_hash"]
|
||||
assert b1["hash"] == h
|
||||
|
||||
# Now POST /api/assets with only hash and no file
|
||||
files = [
|
||||
@ -80,7 +63,6 @@ def test_upload_fastpath_from_existing_hash_no_file(http: requests.Session, api_
|
||||
assert r2.status_code == 200, b2 # fast path returns 200 with created_new == False
|
||||
assert b2["created_new"] is False
|
||||
assert b2["asset_hash"] == h
|
||||
assert b2["hash"] == h
|
||||
|
||||
|
||||
def test_upload_fastpath_with_known_hash_and_file(
|
||||
@ -93,7 +75,6 @@ def test_upload_fastpath_with_known_hash_and_file(
|
||||
b1 = r1.json()
|
||||
assert r1.status_code == 201, b1
|
||||
h = b1["asset_hash"]
|
||||
assert b1["hash"] == h
|
||||
|
||||
# Send both file and hash of existing content -> server must drain file and create from hash (200)
|
||||
files = {"file": ("ignored.bin", b"ignored" * 10, "application/octet-stream")}
|
||||
@ -103,7 +84,6 @@ def test_upload_fastpath_with_known_hash_and_file(
|
||||
assert r2.status_code == 200, b2
|
||||
assert b2["created_new"] is False
|
||||
assert b2["asset_hash"] == h
|
||||
assert b2["hash"] == h
|
||||
|
||||
|
||||
def test_upload_multiple_tags_fields_are_merged(http: requests.Session, api_base: str):
|
||||
@ -162,8 +142,6 @@ def test_concurrent_upload_identical_bytes_different_names(
|
||||
assert r1.status_code in (200, 201), b1
|
||||
assert r2.status_code in (200, 201), b2
|
||||
assert b1["asset_hash"] == b2["asset_hash"]
|
||||
assert b1["hash"] == b2["hash"]
|
||||
assert b1["hash"] == b1["asset_hash"]
|
||||
assert b1["id"] != b2["id"]
|
||||
|
||||
created_flags = sorted([bool(b1.get("created_new")), bool(b2.get("created_new"))])
|
||||
|
||||
Reference in New Issue
Block a user