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12 Commits
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5f655ef74b
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66669b2ded | ||
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65045730a6 | ||
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28d538ddf9 | ||
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e326b41d62 | ||
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aa9e7a84bc | ||
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9b7a2a3248 | ||
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5b913f0377 |
@ -431,9 +431,10 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image Tools/Color adjust"
|
||||
"category": "Image Tools/Color adjust",
|
||||
"description": "Adjusts image brightness and contrast using a real-time GPU fragment shader."
|
||||
}
|
||||
]
|
||||
},
|
||||
"extra": {}
|
||||
}
|
||||
}
|
||||
@ -162,7 +162,7 @@
|
||||
},
|
||||
"revision": 0,
|
||||
"config": {},
|
||||
"name": "local-Canny to Image (Z-Image-Turbo)",
|
||||
"name": "Canny to Image (Z-Image-Turbo)",
|
||||
"inputNode": {
|
||||
"id": -10,
|
||||
"bounding": [
|
||||
@ -1553,7 +1553,8 @@
|
||||
"VHS_MetadataImage": true,
|
||||
"VHS_KeepIntermediate": true
|
||||
},
|
||||
"category": "Image generation and editing/Canny to image"
|
||||
"category": "Image generation and editing/Canny to image",
|
||||
"description": "Generates an image from a Canny edge map using Z-Image-Turbo, with text conditioning."
|
||||
}
|
||||
]
|
||||
},
|
||||
@ -1574,4 +1575,4 @@
|
||||
}
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
}
|
||||
@ -192,7 +192,7 @@
|
||||
},
|
||||
"revision": 0,
|
||||
"config": {},
|
||||
"name": "local-Canny to Video (LTX 2.0)",
|
||||
"name": "Canny to Video (LTX 2.0)",
|
||||
"inputNode": {
|
||||
"id": -10,
|
||||
"bounding": [
|
||||
@ -3600,7 +3600,8 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Video generation and editing/Canny to video"
|
||||
"category": "Video generation and editing/Canny to video",
|
||||
"description": "Generates video from Canny edge maps using LTX-2, with optional synchronized audio."
|
||||
}
|
||||
]
|
||||
},
|
||||
@ -3616,4 +3617,4 @@
|
||||
}
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
}
|
||||
@ -377,8 +377,9 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image Tools/Color adjust"
|
||||
"category": "Image Tools/Color adjust",
|
||||
"description": "Adds lens-style chromatic aberration (color fringing) using a real-time GPU fragment shader."
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -596,7 +596,8 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image Tools/Color adjust"
|
||||
"category": "Image Tools/Color adjust",
|
||||
"description": "Adjusts saturation, temperature, tint, and vibrance using a real-time GPU fragment shader."
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
@ -1129,7 +1129,8 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image Tools/Color adjust"
|
||||
"category": "Image Tools/Color adjust",
|
||||
"description": "Balances colors across shadows, midtones, and highlights using a real-time GPU fragment shader."
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
@ -608,7 +608,8 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image Tools/Color adjust"
|
||||
"category": "Image Tools/Color adjust",
|
||||
"description": "Fine-tunes tone and color with per-channel curve adjustments using a real-time GPU fragment shader."
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
@ -1609,7 +1609,8 @@
|
||||
}
|
||||
],
|
||||
"extra": {},
|
||||
"category": "Image Tools/Crop"
|
||||
"category": "Image Tools/Crop",
|
||||
"description": "Splits an image into a 2×2 grid of four equal tiles."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -2946,7 +2946,8 @@
|
||||
}
|
||||
],
|
||||
"extra": {},
|
||||
"category": "Image Tools/Crop"
|
||||
"category": "Image Tools/Crop",
|
||||
"description": "Splits an image into a 3×3 grid of nine equal tiles."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -1579,7 +1579,8 @@
|
||||
"VHS_MetadataImage": true,
|
||||
"VHS_KeepIntermediate": true
|
||||
},
|
||||
"category": "Image generation and editing/Depth to image"
|
||||
"category": "Image generation and editing/Depth to image",
|
||||
"description": "Generates an image from a depth map using Z-Image-Turbo with text conditioning."
|
||||
},
|
||||
{
|
||||
"id": "458bdf3c-4b58-421c-af50-c9c663a4d74c",
|
||||
@ -2461,7 +2462,8 @@
|
||||
]
|
||||
},
|
||||
"workflowRendererVersion": "LG"
|
||||
}
|
||||
},
|
||||
"description": "Estimates a monocular depth map from an input image using the Lotus depth estimation model."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -4233,7 +4233,8 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Video generation and editing/Depth to video"
|
||||
"category": "Video generation and editing/Depth to video",
|
||||
"description": "Generates video from depth maps using LTX-2, with optional synchronized audio."
|
||||
},
|
||||
{
|
||||
"id": "38b60539-50a7-42f9-a5fe-bdeca26272e2",
|
||||
@ -5192,7 +5193,8 @@
|
||||
],
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
}
|
||||
},
|
||||
"description": "Estimates a monocular depth map from an input image using the Lotus depth estimation model."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -450,9 +450,10 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image Tools/Blur"
|
||||
"category": "Image Tools/Blur",
|
||||
"description": "Applies bilateral (edge-preserving) blur to soften images while retaining detail."
|
||||
}
|
||||
]
|
||||
},
|
||||
"extra": {}
|
||||
}
|
||||
}
|
||||
@ -580,8 +580,9 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image Tools/Color adjust"
|
||||
"category": "Image Tools/Color adjust",
|
||||
"description": "Adds procedural film grain texture for a cinematic look via GPU fragment shader."
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -3350,7 +3350,8 @@
|
||||
}
|
||||
],
|
||||
"extra": {},
|
||||
"category": "Video generation and editing/First-Last-Frame to Video"
|
||||
"category": "Video generation and editing/First-Last-Frame to Video",
|
||||
"description": "Generates a video interpolating between first and last keyframes using LTX-2.3."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -575,8 +575,9 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image Tools/Color adjust"
|
||||
"category": "Image Tools/Color adjust",
|
||||
"description": "Adds a glow/bloom effect around bright image areas via GPU fragment shader."
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -752,8 +752,9 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image Tools/Color adjust"
|
||||
"category": "Image Tools/Color adjust",
|
||||
"description": "Adjusts hue, saturation, and lightness of an image using a real-time GPU fragment shader."
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -374,7 +374,8 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image Tools/Blur"
|
||||
"category": "Image Tools/Blur",
|
||||
"description": "Applies Gaussian, Box, or Radial blur to soften images and create stylized depth or motion effects."
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
@ -310,7 +310,8 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Text generation/Image Captioning"
|
||||
"category": "Text generation/Image Captioning",
|
||||
"description": "Generates descriptive captions for images using Google's Gemini multimodal LLM."
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
@ -315,8 +315,9 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image Tools/Color adjust"
|
||||
"category": "Image Tools/Color adjust",
|
||||
"description": "Manipulates individual RGBA channels for masking, compositing, and channel effects."
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -2138,7 +2138,8 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image generation and editing/Edit image"
|
||||
"category": "Image generation and editing/Edit image",
|
||||
"description": "Edits images via text instructions using FireRed Image Edit 1.1, a diffusion-based instruction-following editing model."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -1472,7 +1472,8 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image generation and editing/Edit image"
|
||||
"category": "Image generation and editing/Edit image",
|
||||
"description": "Edits an input image via text instructions using FLUX.2 [klein] 4B."
|
||||
},
|
||||
{
|
||||
"id": "6007e698-2ebd-4917-84d8-299b35d7b7ab",
|
||||
@ -1821,7 +1822,8 @@
|
||||
],
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
}
|
||||
},
|
||||
"description": "Applies reference image conditioning for style/identity transfer (Flux.2 Klein 4B)."
|
||||
}
|
||||
]
|
||||
},
|
||||
@ -1837,4 +1839,4 @@
|
||||
}
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
}
|
||||
|
||||
@ -1417,7 +1417,8 @@
|
||||
}
|
||||
],
|
||||
"extra": {},
|
||||
"category": "Image generation and editing/Edit image"
|
||||
"category": "Image generation and editing/Edit image",
|
||||
"description": "Edits images via text instructions using LongCat Image Edit, an instruction-following image editing diffusion model."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -132,7 +132,7 @@
|
||||
},
|
||||
"revision": 0,
|
||||
"config": {},
|
||||
"name": "local-Image Edit (Qwen 2511)",
|
||||
"name": "Image Edit (Qwen 2511)",
|
||||
"inputNode": {
|
||||
"id": -10,
|
||||
"bounding": [
|
||||
@ -1468,7 +1468,8 @@
|
||||
"VHS_MetadataImage": true,
|
||||
"VHS_KeepIntermediate": true
|
||||
},
|
||||
"category": "Image generation and editing/Edit image"
|
||||
"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."
|
||||
}
|
||||
]
|
||||
},
|
||||
@ -1489,4 +1490,4 @@
|
||||
}
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
}
|
||||
@ -1188,7 +1188,8 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image generation and editing/Inpaint image"
|
||||
"category": "Image generation and editing/Inpaint image",
|
||||
"description": "Inpaints masked image regions using Flux.1 fill [dev], Black Forest Labs' inpainting/outpainting model."
|
||||
}
|
||||
]
|
||||
},
|
||||
@ -1202,4 +1203,4 @@
|
||||
},
|
||||
"ue_links": []
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@ -1548,7 +1548,8 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image generation and editing/Inpaint image"
|
||||
"category": "Image generation and editing/Inpaint image",
|
||||
"description": "Inpaints masked regions using Qwen-Image, extending its multilingual text rendering to inpainting tasks."
|
||||
},
|
||||
{
|
||||
"id": "56a1f603-fbd2-40ed-94ef-c9ecbd96aca8",
|
||||
@ -1907,7 +1908,8 @@
|
||||
],
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
}
|
||||
},
|
||||
"description": "Expands and softens mask edges to reduce visible seams after image processing."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -742,9 +742,10 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image Tools/Color adjust"
|
||||
"category": "Image Tools/Color adjust",
|
||||
"description": "Adjusts black point, white point, and gamma for tonal range control via GPU shader."
|
||||
}
|
||||
]
|
||||
},
|
||||
"extra": {}
|
||||
}
|
||||
}
|
||||
@ -1919,7 +1919,8 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image generation and editing/Outpaint image"
|
||||
"category": "Image generation and editing/Outpaint image",
|
||||
"description": "Outpaints beyond image boundaries using Qwen-Image's outpainting capabilities."
|
||||
},
|
||||
{
|
||||
"id": "f93c215e-c393-460e-9534-ed2c3d8a652e",
|
||||
@ -2278,7 +2279,8 @@
|
||||
],
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
}
|
||||
},
|
||||
"description": "Expands and softens mask edges to reduce visible seams after image processing."
|
||||
},
|
||||
{
|
||||
"id": "2a4b2cc0-db37-4302-a067-da392f38f06b",
|
||||
@ -2733,7 +2735,8 @@
|
||||
],
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
}
|
||||
},
|
||||
"description": "Scales both image and mask together while preserving alignment for editing workflows."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -141,7 +141,7 @@
|
||||
},
|
||||
"revision": 0,
|
||||
"config": {},
|
||||
"name": "local-Image Upscale(Z-image-Turbo)",
|
||||
"name": "Image Upscale (Z-image-Turbo)",
|
||||
"inputNode": {
|
||||
"id": -10,
|
||||
"bounding": [
|
||||
@ -1302,7 +1302,8 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image generation and editing/Enhance"
|
||||
"category": "Image generation and editing/Enhance",
|
||||
"description": "Upscales images to higher resolution using Z-Image-Turbo."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -99,7 +99,7 @@
|
||||
},
|
||||
"revision": 0,
|
||||
"config": {},
|
||||
"name": "local-Image to Depth Map (Lotus)",
|
||||
"name": "Image to Depth Map (Lotus)",
|
||||
"inputNode": {
|
||||
"id": -10,
|
||||
"bounding": [
|
||||
@ -948,7 +948,8 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image generation and editing/Depth to image"
|
||||
"category": "Image generation and editing/Depth to image",
|
||||
"description": "Estimates a monocular depth map from an input image using the Lotus depth estimation model."
|
||||
}
|
||||
]
|
||||
},
|
||||
@ -964,4 +965,4 @@
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
}
|
||||
@ -1586,7 +1586,8 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image generation and editing/Image to layers"
|
||||
"category": "Image generation and editing/Image to layers",
|
||||
"description": "Decomposes an image into variable-resolution RGBA layers for independent editing using Qwen-Image-Layered."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -72,7 +72,7 @@
|
||||
},
|
||||
"revision": 0,
|
||||
"config": {},
|
||||
"name": "local-Image to Model (Hunyuan3d 2.1)",
|
||||
"name": "Image to 3D Model (Hunyuan3d 2.1)",
|
||||
"inputNode": {
|
||||
"id": -10,
|
||||
"bounding": [
|
||||
@ -765,7 +765,8 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "3D/Image to 3D Model"
|
||||
"category": "3D/Image to 3D Model",
|
||||
"description": "Generates 3D mesh models from a single input image using Hunyuan3D 2.0/2.1."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -4223,7 +4223,8 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "Vue-corrected"
|
||||
},
|
||||
"category": "Video generation and editing/Image to video"
|
||||
"category": "Video generation and editing/Image to video",
|
||||
"description": "Generates video from a single input image using LTX-2.3."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -206,7 +206,7 @@
|
||||
},
|
||||
"revision": 0,
|
||||
"config": {},
|
||||
"name": "local-Image to Video (Wan 2.2)",
|
||||
"name": "Image to Video (Wan 2.2)",
|
||||
"inputNode": {
|
||||
"id": -10,
|
||||
"bounding": [
|
||||
@ -2027,7 +2027,8 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Video generation and editing/Image to video"
|
||||
"category": "Video generation and editing/Image to video",
|
||||
"description": "Generates video from an image and text prompt using Wan 2.2, supporting T2V and I2V."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -134,7 +134,7 @@
|
||||
},
|
||||
"revision": 0,
|
||||
"config": {},
|
||||
"name": "local-Pose to Image (Z-Image-Turbo)",
|
||||
"name": "Pose to Image (Z-Image-Turbo)",
|
||||
"inputNode": {
|
||||
"id": -10,
|
||||
"bounding": [
|
||||
@ -1298,7 +1298,8 @@
|
||||
"VHS_MetadataImage": true,
|
||||
"VHS_KeepIntermediate": true
|
||||
},
|
||||
"category": "Image generation and editing/Pose to image"
|
||||
"category": "Image generation and editing/Pose to image",
|
||||
"description": "Generates an image from pose keypoints using Z-Image-Turbo with text conditioning."
|
||||
}
|
||||
]
|
||||
},
|
||||
@ -1319,4 +1320,4 @@
|
||||
}
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
}
|
||||
@ -3870,7 +3870,8 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Video generation and editing/Pose to video"
|
||||
"category": "Video generation and editing/Pose to video",
|
||||
"description": "Generates video from pose reference frames using LTX-2, with optional synchronized audio."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -270,9 +270,10 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Text generation/Prompt enhance"
|
||||
"category": "Text generation/Prompt enhance",
|
||||
"description": "Expands short text prompts into detailed descriptions using a text generation model for better generation quality."
|
||||
}
|
||||
]
|
||||
},
|
||||
"extra": {}
|
||||
}
|
||||
}
|
||||
@ -302,8 +302,9 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image Tools/Sharpen"
|
||||
"category": "Image Tools/Sharpen",
|
||||
"description": "Sharpens image details using a GPU fragment shader for enhanced clarity."
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -222,7 +222,7 @@
|
||||
},
|
||||
"revision": 0,
|
||||
"config": {},
|
||||
"name": "local-Text to Audio (ACE-Step 1.5)",
|
||||
"name": "Text to Audio (ACE-Step 1.5)",
|
||||
"inputNode": {
|
||||
"id": -10,
|
||||
"bounding": [
|
||||
@ -1502,7 +1502,8 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Audio/Music generation"
|
||||
"category": "Audio/Music generation",
|
||||
"description": "Generates audio/music from text prompts using ACE-Step 1.5, a diffusion-based audio generation model."
|
||||
}
|
||||
]
|
||||
},
|
||||
@ -1518,4 +1519,4 @@
|
||||
}
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
}
|
||||
@ -1029,7 +1029,8 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image generation and editing/Text to image"
|
||||
"category": "Image generation and editing/Text to image",
|
||||
"description": "Generates images from text prompts using Flux.1 [dev], Black Forest Labs' 12B diffusion model."
|
||||
}
|
||||
]
|
||||
},
|
||||
@ -1043,4 +1044,4 @@
|
||||
},
|
||||
"ue_links": []
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@ -1023,7 +1023,8 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image generation and editing/Text to image"
|
||||
"category": "Image generation and editing/Text to image",
|
||||
"description": "Generates images from text prompts using Flux.1 Krea Dev, a Black Forest Labs × Krea collaboration variant."
|
||||
}
|
||||
]
|
||||
},
|
||||
@ -1037,4 +1038,4 @@
|
||||
},
|
||||
"ue_links": []
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@ -1104,7 +1104,8 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image generation and editing/Text to image"
|
||||
"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."
|
||||
},
|
||||
{
|
||||
"id": "a07fdf06-1bda-4dac-bdbd-63ee8ebca1c9",
|
||||
@ -1458,11 +1459,12 @@
|
||||
],
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
}
|
||||
},
|
||||
"description": "Encodes a negative text prompt via CLIP for classifier-free guidance in anime-style generation (NetaYume Lumina)."
|
||||
}
|
||||
]
|
||||
},
|
||||
"extra": {
|
||||
"ue_links": []
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@ -1941,7 +1941,8 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "Vue-corrected"
|
||||
},
|
||||
"category": "Image generation and editing/Text to image"
|
||||
"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."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -1873,7 +1873,8 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image generation and editing/Text to image"
|
||||
"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."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -149,7 +149,7 @@
|
||||
},
|
||||
"revision": 0,
|
||||
"config": {},
|
||||
"name": "local-Text to Image (Z-Image-Turbo)",
|
||||
"name": "Text to Image (Z-Image-Turbo)",
|
||||
"inputNode": {
|
||||
"id": -10,
|
||||
"bounding": [
|
||||
@ -1054,7 +1054,8 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image generation and editing/Text to image"
|
||||
"category": "Image generation and editing/Text to image",
|
||||
"description": "Generates images from text prompts using Z-Image-Turbo, Alibaba's distilled 6B DiT model."
|
||||
}
|
||||
]
|
||||
},
|
||||
@ -1075,4 +1076,4 @@
|
||||
}
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
}
|
||||
@ -4286,7 +4286,8 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "Vue-corrected"
|
||||
},
|
||||
"category": "Video generation and editing/Text to video"
|
||||
"category": "Video generation and editing/Text to video",
|
||||
"description": "Generates video from text prompts using LTX-2.3, Lightricks' video diffusion model."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -1572,7 +1572,8 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Video generation and editing/Text to video"
|
||||
"category": "Video generation and editing/Text to video",
|
||||
"description": "Generates video from text prompts using Wan2.2, Alibaba's diffusion video model."
|
||||
}
|
||||
]
|
||||
},
|
||||
@ -1586,4 +1587,4 @@
|
||||
"VHS_KeepIntermediate": true
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
}
|
||||
@ -434,8 +434,9 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Image Tools/Sharpen"
|
||||
"category": "Image Tools/Sharpen",
|
||||
"description": "Enhances edge contrast via unsharp masking for a sharper image appearance."
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -307,7 +307,8 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Text generation/Video Captioning"
|
||||
"category": "Text generation/Video Captioning",
|
||||
"description": "Generates descriptive captions for video input using Google's Gemini multimodal LLM."
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
@ -165,7 +165,7 @@
|
||||
},
|
||||
"revision": 0,
|
||||
"config": {},
|
||||
"name": "local-Video Inpaint(Wan2.1 VACE)",
|
||||
"name": "Video Inpaint (Wan 2.1 VACE)",
|
||||
"inputNode": {
|
||||
"id": -10,
|
||||
"bounding": [
|
||||
@ -2368,7 +2368,8 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Video generation and editing/Inpaint video"
|
||||
"category": "Video generation and editing/Inpaint video",
|
||||
"description": "Inpaints masked regions in video frames using Wan 2.1 VACE."
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
@ -584,8 +584,9 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Video Tools/Stitch videos"
|
||||
"category": "Video Tools/Stitch videos",
|
||||
"description": "Stitches multiple video clips into a single sequential video file."
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -412,9 +412,10 @@
|
||||
"extra": {
|
||||
"workflowRendererVersion": "LG"
|
||||
},
|
||||
"category": "Video generation and editing/Enhance video"
|
||||
"category": "Video generation and editing/Enhance video",
|
||||
"description": "Upscales video to 4× resolution using a GAN-based upscaling model."
|
||||
}
|
||||
]
|
||||
},
|
||||
"extra": {}
|
||||
}
|
||||
}
|
||||
@ -1390,7 +1390,7 @@ def convert_old_quants(state_dict, model_prefix="", metadata={}):
|
||||
k_out = "{}.weight_scale".format(layer)
|
||||
|
||||
if layer is not None:
|
||||
layer_conf = {"format": "float8_e4m3fn"} # TODO: check if anyone did some non e4m3fn scaled checkpoints
|
||||
layer_conf = {"format": "float8_e4m3fn"}
|
||||
if full_precision_matrix_mult:
|
||||
layer_conf["full_precision_matrix_mult"] = full_precision_matrix_mult
|
||||
layers[layer] = layer_conf
|
||||
|
||||
@ -327,11 +327,14 @@ class String(ComfyTypeIO):
|
||||
'''String input.'''
|
||||
def __init__(self, id: str, display_name: str=None, optional=False, tooltip: str=None, lazy: bool=None,
|
||||
multiline=False, placeholder: str=None, default: str=None, dynamic_prompts: bool=None,
|
||||
socketless: bool=None, force_input: bool=None, extra_dict=None, raw_link: bool=None, advanced: bool=None):
|
||||
socketless: bool=None, force_input: bool=None, extra_dict=None, raw_link: bool=None, advanced: bool=None,
|
||||
min_length: int=None, max_length: int=None):
|
||||
super().__init__(id, display_name, optional, tooltip, lazy, default, socketless, None, force_input, extra_dict, raw_link, advanced)
|
||||
self.multiline = multiline
|
||||
self.placeholder = placeholder
|
||||
self.dynamic_prompts = dynamic_prompts
|
||||
self.min_length = min_length
|
||||
self.max_length = max_length
|
||||
self.default: str
|
||||
|
||||
def as_dict(self):
|
||||
@ -339,6 +342,8 @@ class String(ComfyTypeIO):
|
||||
"multiline": self.multiline,
|
||||
"placeholder": self.placeholder,
|
||||
"dynamicPrompts": self.dynamic_prompts,
|
||||
"minLength": self.min_length,
|
||||
"maxLength": self.max_length,
|
||||
})
|
||||
|
||||
@comfytype(io_type="COMBO")
|
||||
|
||||
@ -1,10 +1,11 @@
|
||||
from __future__ import annotations
|
||||
from enum import Enum
|
||||
from typing import Optional, List, Dict, Any, Union
|
||||
from typing import Optional, Any
|
||||
|
||||
from pydantic import BaseModel, Field, RootModel
|
||||
|
||||
|
||||
class TripoModelVersion(str, Enum):
|
||||
v3_1_20260211 = 'v3.1-20260211'
|
||||
v3_0_20250812 = 'v3.0-20250812'
|
||||
v2_5_20250123 = 'v2.5-20250123'
|
||||
v2_0_20240919 = 'v2.0-20240919'
|
||||
@ -142,7 +143,7 @@ class TripoFileEmptyReference(BaseModel):
|
||||
pass
|
||||
|
||||
class TripoFileReference(RootModel):
|
||||
root: Union[TripoFileTokenReference, TripoUrlReference, TripoObjectReference, TripoFileEmptyReference]
|
||||
root: TripoFileTokenReference | TripoUrlReference | TripoObjectReference | TripoFileEmptyReference
|
||||
|
||||
class TripoGetStsTokenRequest(BaseModel):
|
||||
format: str = Field(..., description='The format of the image')
|
||||
@ -183,7 +184,7 @@ class TripoImageToModelRequest(BaseModel):
|
||||
|
||||
class TripoMultiviewToModelRequest(BaseModel):
|
||||
type: TripoTaskType = TripoTaskType.MULTIVIEW_TO_MODEL
|
||||
files: List[TripoFileReference] = Field(..., description='The file references to convert to a model')
|
||||
files: list[TripoFileReference] = Field(..., description='The file references to convert to a model')
|
||||
model_version: Optional[TripoModelVersion] = Field(None, description='The model version to use for generation')
|
||||
orthographic_projection: Optional[bool] = Field(False, description='Whether to use orthographic projection')
|
||||
face_limit: Optional[int] = Field(None, description='The number of faces to limit the generation to')
|
||||
@ -251,27 +252,13 @@ class TripoConvertModelRequest(BaseModel):
|
||||
with_animation: Optional[bool] = Field(None, description='Whether to include animations')
|
||||
pack_uv: Optional[bool] = Field(None, description='Whether to pack the UVs')
|
||||
bake: Optional[bool] = Field(None, description='Whether to bake the model')
|
||||
part_names: Optional[List[str]] = Field(None, description='The names of the parts to include')
|
||||
part_names: Optional[list[str]] = Field(None, description='The names of the parts to include')
|
||||
fbx_preset: Optional[TripoFbxPreset] = Field(None, description='The preset for the FBX export')
|
||||
export_vertex_colors: Optional[bool] = Field(None, description='Whether to export the vertex colors')
|
||||
export_orientation: Optional[TripoOrientation] = Field(None, description='The orientation for the export')
|
||||
animate_in_place: Optional[bool] = Field(None, description='Whether to animate in place')
|
||||
|
||||
|
||||
class TripoTaskRequest(RootModel):
|
||||
root: Union[
|
||||
TripoTextToModelRequest,
|
||||
TripoImageToModelRequest,
|
||||
TripoMultiviewToModelRequest,
|
||||
TripoTextureModelRequest,
|
||||
TripoRefineModelRequest,
|
||||
TripoAnimatePrerigcheckRequest,
|
||||
TripoAnimateRigRequest,
|
||||
TripoAnimateRetargetRequest,
|
||||
TripoStylizeModelRequest,
|
||||
TripoConvertModelRequest
|
||||
]
|
||||
|
||||
class TripoTaskOutput(BaseModel):
|
||||
model: Optional[str] = Field(None, description='URL to the model')
|
||||
base_model: Optional[str] = Field(None, description='URL to the base model')
|
||||
@ -283,12 +270,13 @@ class TripoTask(BaseModel):
|
||||
task_id: str = Field(..., description='The task ID')
|
||||
type: Optional[str] = Field(None, description='The type of task')
|
||||
status: Optional[TripoTaskStatus] = Field(None, description='The status of the task')
|
||||
input: Optional[Dict[str, Any]] = Field(None, description='The input parameters for the task')
|
||||
input: Optional[dict[str, Any]] = Field(None, description='The input parameters for the task')
|
||||
output: Optional[TripoTaskOutput] = Field(None, description='The output of the task')
|
||||
progress: Optional[int] = Field(None, description='The progress of the task', ge=0, le=100)
|
||||
create_time: Optional[int] = Field(None, description='The creation time of the task')
|
||||
running_left_time: Optional[int] = Field(None, description='The estimated time left for the task')
|
||||
queue_position: Optional[int] = Field(None, description='The position in the queue')
|
||||
consumed_credit: int | None = Field(None)
|
||||
|
||||
class TripoTaskResponse(BaseModel):
|
||||
code: int = Field(0, description='The response code')
|
||||
@ -296,7 +284,7 @@ class TripoTaskResponse(BaseModel):
|
||||
|
||||
class TripoGeneralResponse(BaseModel):
|
||||
code: int = Field(0, description='The response code')
|
||||
data: Dict[str, str] = Field(..., description='The task ID data')
|
||||
data: dict[str, str] = Field(..., description='The task ID data')
|
||||
|
||||
class TripoBalanceData(BaseModel):
|
||||
balance: float = Field(..., description='The account balance')
|
||||
|
||||
@ -60,6 +60,7 @@ async def poll_until_finished(
|
||||
],
|
||||
status_extractor=lambda x: x.data.status,
|
||||
progress_extractor=lambda x: x.data.progress,
|
||||
price_extractor=lambda x: x.data.consumed_credit * 0.01 if x.data.consumed_credit else None,
|
||||
estimated_duration=average_duration,
|
||||
)
|
||||
if response_poll.data.status == TripoTaskStatus.SUCCESS:
|
||||
@ -113,7 +114,6 @@ class TripoTextToModelNode(IO.ComfyNode):
|
||||
depends_on=IO.PriceBadgeDepends(
|
||||
widgets=[
|
||||
"model_version",
|
||||
"style",
|
||||
"texture",
|
||||
"pbr",
|
||||
"quad",
|
||||
@ -124,20 +124,17 @@ class TripoTextToModelNode(IO.ComfyNode):
|
||||
expr="""
|
||||
(
|
||||
$isV14 := $contains(widgets.model_version,"v1.4");
|
||||
$style := widgets.style;
|
||||
$hasStyle := ($style != "" and $style != "none");
|
||||
$isV3OrLater := $contains(widgets.model_version,"v3.");
|
||||
$withTexture := widgets.texture or widgets.pbr;
|
||||
$isHdTexture := (widgets.texture_quality = "detailed");
|
||||
$isDetailedGeometry := (widgets.geometry_quality = "detailed");
|
||||
$baseCredits :=
|
||||
$isV14 ? 20 : ($withTexture ? 20 : 10);
|
||||
$credits :=
|
||||
$baseCredits
|
||||
+ ($hasStyle ? 5 : 0)
|
||||
$credits := $isV14 ? 20 : (
|
||||
($withTexture ? 20 : 10)
|
||||
+ (widgets.quad ? 5 : 0)
|
||||
+ ($isHdTexture ? 10 : 0)
|
||||
+ ($isDetailedGeometry ? 20 : 0);
|
||||
{"type":"usd","usd": $round($credits * 0.01, 2)}
|
||||
+ (($isDetailedGeometry and $isV3OrLater) ? 20 : 0)
|
||||
);
|
||||
{"type":"usd","usd": $round($credits * 0.01, 2), "format": {"approximate": true}}
|
||||
)
|
||||
""",
|
||||
),
|
||||
@ -239,7 +236,6 @@ class TripoImageToModelNode(IO.ComfyNode):
|
||||
depends_on=IO.PriceBadgeDepends(
|
||||
widgets=[
|
||||
"model_version",
|
||||
"style",
|
||||
"texture",
|
||||
"pbr",
|
||||
"quad",
|
||||
@ -250,20 +246,17 @@ class TripoImageToModelNode(IO.ComfyNode):
|
||||
expr="""
|
||||
(
|
||||
$isV14 := $contains(widgets.model_version,"v1.4");
|
||||
$style := widgets.style;
|
||||
$hasStyle := ($style != "" and $style != "none");
|
||||
$isV3OrLater := $contains(widgets.model_version,"v3.");
|
||||
$withTexture := widgets.texture or widgets.pbr;
|
||||
$isHdTexture := (widgets.texture_quality = "detailed");
|
||||
$isDetailedGeometry := (widgets.geometry_quality = "detailed");
|
||||
$baseCredits :=
|
||||
$isV14 ? 30 : ($withTexture ? 30 : 20);
|
||||
$credits :=
|
||||
$baseCredits
|
||||
+ ($hasStyle ? 5 : 0)
|
||||
$credits := $isV14 ? 30 : (
|
||||
($withTexture ? 30 : 20)
|
||||
+ (widgets.quad ? 5 : 0)
|
||||
+ ($isHdTexture ? 10 : 0)
|
||||
+ ($isDetailedGeometry ? 20 : 0);
|
||||
{"type":"usd","usd": $round($credits * 0.01, 2)}
|
||||
+ (($isDetailedGeometry and $isV3OrLater) ? 20 : 0)
|
||||
);
|
||||
{"type":"usd","usd": $round($credits * 0.01, 2), "format": {"approximate": true}}
|
||||
)
|
||||
""",
|
||||
),
|
||||
@ -358,7 +351,7 @@ class TripoMultiviewToModelNode(IO.ComfyNode):
|
||||
"texture_alignment", default="original_image", options=["original_image", "geometry"], optional=True, advanced=True
|
||||
),
|
||||
IO.Int.Input("face_limit", default=-1, min=-1, max=500000, optional=True, advanced=True),
|
||||
IO.Boolean.Input("quad", default=False, optional=True, advanced=True),
|
||||
IO.Boolean.Input("quad", default=False, optional=True, advanced=True, tooltip="This parameter is deprecated and does nothing."),
|
||||
IO.Combo.Input("geometry_quality", default="standard", options=["standard", "detailed"], optional=True, advanced=True),
|
||||
],
|
||||
outputs=[
|
||||
@ -379,7 +372,6 @@ class TripoMultiviewToModelNode(IO.ComfyNode):
|
||||
"model_version",
|
||||
"texture",
|
||||
"pbr",
|
||||
"quad",
|
||||
"texture_quality",
|
||||
"geometry_quality",
|
||||
],
|
||||
@ -387,17 +379,16 @@ class TripoMultiviewToModelNode(IO.ComfyNode):
|
||||
expr="""
|
||||
(
|
||||
$isV14 := $contains(widgets.model_version,"v1.4");
|
||||
$isV3OrLater := $contains(widgets.model_version,"v3.");
|
||||
$withTexture := widgets.texture or widgets.pbr;
|
||||
$isHdTexture := (widgets.texture_quality = "detailed");
|
||||
$isDetailedGeometry := (widgets.geometry_quality = "detailed");
|
||||
$baseCredits :=
|
||||
$isV14 ? 30 : ($withTexture ? 30 : 20);
|
||||
$credits :=
|
||||
$baseCredits
|
||||
+ (widgets.quad ? 5 : 0)
|
||||
$credits := $isV14 ? 30 : (
|
||||
($withTexture ? 30 : 20)
|
||||
+ ($isHdTexture ? 10 : 0)
|
||||
+ ($isDetailedGeometry ? 20 : 0);
|
||||
{"type":"usd","usd": $round($credits * 0.01, 2)}
|
||||
+ (($isDetailedGeometry and $isV3OrLater) ? 20 : 0)
|
||||
);
|
||||
{"type":"usd","usd": $round($credits * 0.01, 2), "format": {"approximate": true}}
|
||||
)
|
||||
""",
|
||||
),
|
||||
@ -457,7 +448,7 @@ class TripoMultiviewToModelNode(IO.ComfyNode):
|
||||
geometry_quality=geometry_quality,
|
||||
texture_alignment=texture_alignment,
|
||||
face_limit=face_limit if face_limit != -1 else None,
|
||||
quad=quad,
|
||||
quad=None,
|
||||
),
|
||||
)
|
||||
return await poll_until_finished(cls, response, average_duration=80)
|
||||
@ -498,7 +489,7 @@ class TripoTextureNode(IO.ComfyNode):
|
||||
expr="""
|
||||
(
|
||||
$tq := widgets.texture_quality;
|
||||
{"type":"usd","usd": ($contains($tq,"detailed") ? 0.2 : 0.1)}
|
||||
{"type":"usd","usd": ($contains($tq,"detailed") ? 0.2 : 0.1), "format": {"approximate": true}}
|
||||
)
|
||||
""",
|
||||
),
|
||||
@ -555,7 +546,7 @@ class TripoRefineNode(IO.ComfyNode):
|
||||
is_api_node=True,
|
||||
is_output_node=True,
|
||||
price_badge=IO.PriceBadge(
|
||||
expr="""{"type":"usd","usd":0.3}""",
|
||||
expr="""{"type":"usd","usd":0.3, "format": {"approximate": true}}""",
|
||||
),
|
||||
)
|
||||
|
||||
@ -592,7 +583,7 @@ class TripoRigNode(IO.ComfyNode):
|
||||
is_api_node=True,
|
||||
is_output_node=True,
|
||||
price_badge=IO.PriceBadge(
|
||||
expr="""{"type":"usd","usd":0.25}""",
|
||||
expr="""{"type":"usd","usd":0.25, "format": {"approximate": true}}""",
|
||||
),
|
||||
)
|
||||
|
||||
@ -652,7 +643,7 @@ class TripoRetargetNode(IO.ComfyNode):
|
||||
is_api_node=True,
|
||||
is_output_node=True,
|
||||
price_badge=IO.PriceBadge(
|
||||
expr="""{"type":"usd","usd":0.1}""",
|
||||
expr="""{"type":"usd","usd":0.1, "format": {"approximate": true}}""",
|
||||
),
|
||||
)
|
||||
|
||||
@ -761,19 +752,10 @@ class TripoConversionNode(IO.ComfyNode):
|
||||
"face_limit",
|
||||
"texture_size",
|
||||
"texture_format",
|
||||
"force_symmetry",
|
||||
"flatten_bottom",
|
||||
"flatten_bottom_threshold",
|
||||
"pivot_to_center_bottom",
|
||||
"scale_factor",
|
||||
"with_animation",
|
||||
"pack_uv",
|
||||
"bake",
|
||||
"part_names",
|
||||
"fbx_preset",
|
||||
"export_vertex_colors",
|
||||
"export_orientation",
|
||||
"animate_in_place",
|
||||
],
|
||||
),
|
||||
expr="""
|
||||
@ -783,28 +765,16 @@ class TripoConversionNode(IO.ComfyNode):
|
||||
$flatThresh := (widgets.flatten_bottom_threshold != null) ? widgets.flatten_bottom_threshold : 0;
|
||||
$scale := (widgets.scale_factor != null) ? widgets.scale_factor : 1;
|
||||
$texFmt := (widgets.texture_format != "" ? widgets.texture_format : "jpeg");
|
||||
$part := widgets.part_names;
|
||||
$fbx := (widgets.fbx_preset != "" ? widgets.fbx_preset : "blender");
|
||||
$orient := (widgets.export_orientation != "" ? widgets.export_orientation : "default");
|
||||
$advanced :=
|
||||
widgets.quad or
|
||||
widgets.force_symmetry or
|
||||
widgets.flatten_bottom or
|
||||
widgets.pivot_to_center_bottom or
|
||||
widgets.with_animation or
|
||||
widgets.pack_uv or
|
||||
widgets.bake or
|
||||
widgets.export_vertex_colors or
|
||||
widgets.animate_in_place or
|
||||
($face != -1) or
|
||||
($texSize != 4096) or
|
||||
($flatThresh != 0) or
|
||||
($scale != 1) or
|
||||
($texFmt != "jpeg") or
|
||||
($part != "") or
|
||||
($fbx != "blender") or
|
||||
($orient != "default");
|
||||
{"type":"usd","usd": ($advanced ? 0.1 : 0.05)}
|
||||
($texFmt != "jpeg");
|
||||
{"type":"usd","usd": ($advanced ? 0.1 : 0.05), "format": {"approximate": true}}
|
||||
)
|
||||
""",
|
||||
),
|
||||
|
||||
@ -488,10 +488,30 @@ async def _diagnose_connectivity() -> dict[str, bool]:
|
||||
"api_accessible": False,
|
||||
}
|
||||
timeout = aiohttp.ClientTimeout(total=5.0)
|
||||
|
||||
# Probe Google and Baidu in parallel: Google is blocked by the GFW in mainland China, so a Baidu probe is required
|
||||
# to correctly detect that Chinese users with working internet do have working internet.
|
||||
internet_probe_urls = ("https://www.google.com", "https://www.baidu.com")
|
||||
|
||||
async with aiohttp.ClientSession(timeout=timeout) as session:
|
||||
with contextlib.suppress(ClientError, OSError):
|
||||
async with session.get("https://www.google.com") as resp:
|
||||
results["internet_accessible"] = resp.status < 500
|
||||
async def _probe(url: str) -> bool:
|
||||
try:
|
||||
async with session.get(url) as resp:
|
||||
return resp.status < 500
|
||||
except (ClientError, OSError, asyncio.TimeoutError):
|
||||
return False
|
||||
|
||||
probe_tasks = [asyncio.create_task(_probe(u)) for u in internet_probe_urls]
|
||||
try:
|
||||
for fut in asyncio.as_completed(probe_tasks):
|
||||
if await fut:
|
||||
results["internet_accessible"] = True
|
||||
break
|
||||
finally:
|
||||
for t in probe_tasks:
|
||||
if not t.done():
|
||||
t.cancel()
|
||||
await asyncio.gather(*probe_tasks, return_exceptions=True)
|
||||
if not results["internet_accessible"]:
|
||||
return results
|
||||
|
||||
|
||||
66
execution.py
66
execution.py
@ -83,7 +83,7 @@ class IsChangedCache:
|
||||
return self.is_changed[node_id]
|
||||
|
||||
# Intentionally do not use cached outputs here. We only want constants in IS_CHANGED
|
||||
input_data_all, _, v3_data = get_input_data(node["inputs"], class_def, node_id, None)
|
||||
input_data_all, _, v3_data, _ = get_input_data(node["inputs"], class_def, node_id, None)
|
||||
try:
|
||||
is_changed = await _async_map_node_over_list(self.prompt_id, node_id, class_def, input_data_all, is_changed_name, v3_data=v3_data)
|
||||
is_changed = await resolve_map_node_over_list_results(is_changed)
|
||||
@ -215,7 +215,35 @@ def get_input_data(inputs, class_def, unique_id, execution_list=None, dynprompt=
|
||||
if h[x] == "API_KEY_COMFY_ORG":
|
||||
input_data_all[x] = [extra_data.get("api_key_comfy_org", None)]
|
||||
v3_data["hidden_inputs"] = hidden_inputs_v3
|
||||
return input_data_all, missing_keys, v3_data
|
||||
return input_data_all, missing_keys, v3_data, valid_inputs
|
||||
|
||||
def validate_resolved_inputs(input_data_all, class_def, valid_inputs):
|
||||
"""Validate resolved input values against schema constraints.
|
||||
|
||||
This is needed because validate_inputs() only sees direct widget values.
|
||||
Linked inputs aren't resolved during validate_inputs(), so this runs after resolution to catch any violations.
|
||||
"""
|
||||
for x, values in input_data_all.items():
|
||||
input_type, input_category, extra_info = get_input_info(class_def, x, valid_inputs)
|
||||
if input_type != "STRING":
|
||||
continue
|
||||
min_length = extra_info.get("minLength")
|
||||
max_length = extra_info.get("maxLength")
|
||||
if min_length is None and max_length is None:
|
||||
continue
|
||||
for val in values:
|
||||
if val is None or not isinstance(val, str):
|
||||
continue
|
||||
if min_length is not None and len(val) < min_length:
|
||||
raise ValueError(
|
||||
f"Input '{x}': value length {len(val)} is shorter than "
|
||||
f"minimum length of {min_length}"
|
||||
)
|
||||
if max_length is not None and len(val) > max_length:
|
||||
raise ValueError(
|
||||
f"Input '{x}': value length {len(val)} is longer than "
|
||||
f"maximum length of {max_length}"
|
||||
)
|
||||
|
||||
map_node_over_list = None #Don't hook this please
|
||||
|
||||
@ -480,7 +508,7 @@ async def execute(server, dynprompt, caches, current_item, extra_data, executed,
|
||||
has_subgraph = False
|
||||
else:
|
||||
get_progress_state().start_progress(unique_id)
|
||||
input_data_all, missing_keys, v3_data = get_input_data(inputs, class_def, unique_id, execution_list, dynprompt, extra_data)
|
||||
input_data_all, missing_keys, v3_data, valid_inputs = get_input_data(inputs, class_def, unique_id, execution_list, dynprompt, extra_data)
|
||||
if server.client_id is not None:
|
||||
server.last_node_id = display_node_id
|
||||
server.send_sync("executing", { "node": unique_id, "display_node": display_node_id, "prompt_id": prompt_id }, server.client_id)
|
||||
@ -509,6 +537,8 @@ async def execute(server, dynprompt, caches, current_item, extra_data, executed,
|
||||
execution_list.make_input_strong_link(unique_id, i)
|
||||
return (ExecutionResult.PENDING, None, None)
|
||||
|
||||
validate_resolved_inputs(input_data_all, class_def, valid_inputs)
|
||||
|
||||
def execution_block_cb(block):
|
||||
if block.message is not None:
|
||||
mes = {
|
||||
@ -1014,6 +1044,34 @@ async def validate_inputs(prompt_id, prompt, item, validated, visiting=None):
|
||||
errors.append(error)
|
||||
continue
|
||||
|
||||
if input_type == "STRING":
|
||||
if "minLength" in extra_info and len(val) < extra_info["minLength"]:
|
||||
error = {
|
||||
"type": "value_shorter_than_min_length",
|
||||
"message": "Value length {} shorter than min length of {}".format(len(val), extra_info["minLength"]),
|
||||
"details": f"{x}",
|
||||
"extra_info": {
|
||||
"input_name": x,
|
||||
"input_config": info,
|
||||
"received_value": val,
|
||||
}
|
||||
}
|
||||
errors.append(error)
|
||||
continue
|
||||
if "maxLength" in extra_info and len(val) > extra_info["maxLength"]:
|
||||
error = {
|
||||
"type": "value_longer_than_max_length",
|
||||
"message": "Value length {} longer than max length of {}".format(len(val), extra_info["maxLength"]),
|
||||
"details": f"{x}",
|
||||
"extra_info": {
|
||||
"input_name": x,
|
||||
"input_config": info,
|
||||
"received_value": val,
|
||||
}
|
||||
}
|
||||
errors.append(error)
|
||||
continue
|
||||
|
||||
if isinstance(input_type, list) or input_type == io.Combo.io_type:
|
||||
if input_type == io.Combo.io_type:
|
||||
combo_options = extra_info.get("options", [])
|
||||
@ -1050,7 +1108,7 @@ async def validate_inputs(prompt_id, prompt, item, validated, visiting=None):
|
||||
continue
|
||||
|
||||
if len(validate_function_inputs) > 0 or validate_has_kwargs:
|
||||
input_data_all, _, v3_data = get_input_data(inputs, obj_class, unique_id)
|
||||
input_data_all, _, v3_data, _ = get_input_data(inputs, obj_class, unique_id)
|
||||
input_filtered = {}
|
||||
for x in input_data_all:
|
||||
if x in validate_function_inputs or validate_has_kwargs:
|
||||
|
||||
106
openapi.yaml
106
openapi.yaml
@ -74,6 +74,8 @@ tags:
|
||||
description: Cloud workflow management and versioning (cloud-only)
|
||||
- name: task
|
||||
description: Background task management (cloud-only)
|
||||
- name: runtime-only
|
||||
description: Operations served exclusively by the cloud runtime with no local equivalent
|
||||
|
||||
paths:
|
||||
# ---------------------------------------------------------------------------
|
||||
@ -2573,35 +2575,38 @@ paths:
|
||||
# ---------------------------------------------------------------------------
|
||||
/api/experiment/nodes:
|
||||
get:
|
||||
operationId: listCloudNodes
|
||||
tags: [node]
|
||||
summary: List installed custom nodes
|
||||
description: "[cloud-only] Returns the list of custom node packages installed in the cloud runtime."
|
||||
operationId: getNodeInfoSchema
|
||||
tags: [runtime-only]
|
||||
summary: Get pre-rendered node info schema
|
||||
description: "[cloud-only] Returns the static ComfyUI object_info schema, identical for every caller, rendered once at startup with empty model/user-file context. Served by a raw HTTP handler that writes pre-rendered bytes with ETag + Cache-Control validators for RFC 7232 conditional GETs."
|
||||
x-runtime: [cloud]
|
||||
parameters:
|
||||
- name: limit
|
||||
in: query
|
||||
- name: If-None-Match
|
||||
in: header
|
||||
required: false
|
||||
schema:
|
||||
type: integer
|
||||
description: Maximum number of results
|
||||
- name: offset
|
||||
in: query
|
||||
schema:
|
||||
type: integer
|
||||
description: Pagination offset
|
||||
type: string
|
||||
description: Entity tag previously returned by this endpoint. When present and matching, the server returns 304 Not Modified.
|
||||
responses:
|
||||
"200":
|
||||
description: Custom node list
|
||||
description: Node info schema
|
||||
headers:
|
||||
ETag:
|
||||
schema:
|
||||
type: string
|
||||
description: Entity tag for conditional request validation
|
||||
Cache-Control:
|
||||
schema:
|
||||
type: string
|
||||
description: Cache directives for the response
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: "#/components/schemas/CloudNodeList"
|
||||
"401":
|
||||
description: Unauthorized
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: "#/components/schemas/CloudError"
|
||||
type: object
|
||||
additionalProperties:
|
||||
$ref: "#/components/schemas/NodeInfo"
|
||||
"304":
|
||||
description: Not Modified — returned when the client sends a matching If-None-Match header
|
||||
post:
|
||||
operationId: installCloudNode
|
||||
tags: [node]
|
||||
@ -2651,10 +2656,10 @@ paths:
|
||||
|
||||
/api/experiment/nodes/{id}:
|
||||
get:
|
||||
operationId: getCloudNode
|
||||
tags: [node]
|
||||
summary: Get details of an installed custom node
|
||||
description: "[cloud-only] Returns details about a specific installed custom node package."
|
||||
operationId: getNodeByID
|
||||
tags: [runtime-only]
|
||||
summary: Get a single node definition by ID
|
||||
description: "[cloud-only] Returns one node's definition from the pre-indexed object_info schema. Served by a raw HTTP handler that writes pre-rendered bytes with ETag + Cache-Control validators for RFC 7232 conditional GETs."
|
||||
x-runtime: [cloud]
|
||||
parameters:
|
||||
- name: id
|
||||
@ -2662,26 +2667,33 @@ paths:
|
||||
required: true
|
||||
schema:
|
||||
type: string
|
||||
description: Custom node package ID
|
||||
description: Node class identifier
|
||||
- name: If-None-Match
|
||||
in: header
|
||||
required: false
|
||||
schema:
|
||||
type: string
|
||||
description: Entity tag previously returned by this endpoint. When present and matching, the server returns 304 Not Modified.
|
||||
responses:
|
||||
"200":
|
||||
description: Node detail
|
||||
description: Single node definition
|
||||
headers:
|
||||
ETag:
|
||||
schema:
|
||||
type: string
|
||||
description: Entity tag for conditional request validation
|
||||
Cache-Control:
|
||||
schema:
|
||||
type: string
|
||||
description: Cache directives for the response
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: "#/components/schemas/CloudNode"
|
||||
"401":
|
||||
description: Unauthorized
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: "#/components/schemas/CloudError"
|
||||
$ref: "#/components/schemas/NodeInfo"
|
||||
"304":
|
||||
description: Not Modified — returned when the client sends a matching If-None-Match header
|
||||
"404":
|
||||
description: Not found
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: "#/components/schemas/CloudError"
|
||||
description: Node not found
|
||||
delete:
|
||||
operationId: uninstallCloudNode
|
||||
tags: [node]
|
||||
@ -7100,22 +7112,6 @@ components:
|
||||
enabled:
|
||||
type: boolean
|
||||
|
||||
CloudNodeList:
|
||||
type: object
|
||||
x-runtime: [cloud]
|
||||
description: "[cloud-only] Paginated list of installed custom node packages."
|
||||
required:
|
||||
- nodes
|
||||
properties:
|
||||
nodes:
|
||||
type: array
|
||||
items:
|
||||
$ref: "#/components/schemas/CloudNode"
|
||||
total:
|
||||
type: integer
|
||||
has_more:
|
||||
type: boolean
|
||||
|
||||
HubLabel:
|
||||
type: object
|
||||
x-runtime: [cloud]
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
comfyui-frontend-package==1.43.17
|
||||
comfyui-frontend-package==1.43.18
|
||||
comfyui-workflow-templates==0.9.72
|
||||
comfyui-embedded-docs==0.4.4
|
||||
torch
|
||||
|
||||
@ -1011,3 +1011,49 @@ class TestExecution:
|
||||
"""Test getting a non-existent job returns 404"""
|
||||
job = client.get_job("nonexistent-job-id")
|
||||
assert job is None, "Non-existent job should return None"
|
||||
|
||||
|
||||
@pytest.mark.parametrize("text, expect_error", [
|
||||
("hello", False), # 5 chars, within [3, 10]
|
||||
("abc", False), # 3 chars, exact min boundary
|
||||
("abcdefghij", False), # 10 chars, exact max boundary
|
||||
("ab", True), # 2 chars, below min
|
||||
("abcdefghijk", True), # 11 chars, above max
|
||||
("", True), # 0 chars, below min
|
||||
])
|
||||
def test_string_length_widget_validation(self, text, expect_error, client: ComfyClient, builder: GraphBuilder):
|
||||
"""Test minLength/maxLength validation for direct widget values (validate_inputs path)."""
|
||||
g = builder
|
||||
node = g.node("StubStringWithLength", text=text)
|
||||
g.node("SaveImage", images=node.out(0))
|
||||
if expect_error:
|
||||
with pytest.raises(urllib.error.HTTPError) as exc_info:
|
||||
client.run(g)
|
||||
assert exc_info.value.code == 400
|
||||
else:
|
||||
client.run(g)
|
||||
|
||||
|
||||
@pytest.mark.parametrize("text, expect_error", [
|
||||
("hello", False), # 5 chars, within [3, 10]
|
||||
("abc", False), # 3 chars, exact min boundary
|
||||
("abcdefghij", False), # 10 chars, exact max boundary
|
||||
("ab", True), # 2 chars, below min
|
||||
("abcdefghijk", True), # 11 chars, above max
|
||||
("", True), # 0 chars, below min
|
||||
])
|
||||
def test_string_length_linked_validation(self, text, expect_error, client: ComfyClient, builder: GraphBuilder):
|
||||
"""Test minLength/maxLength validation for linked inputs (validate_resolved_inputs path)."""
|
||||
g = builder
|
||||
str_node = g.node("StubStringOutput", value=text)
|
||||
node = g.node("StubStringWithLength", text=str_node.out(0))
|
||||
g.node("SaveImage", images=node.out(0))
|
||||
|
||||
if expect_error:
|
||||
try:
|
||||
client.run(g)
|
||||
assert False, "Should have raised an error"
|
||||
except Exception as e:
|
||||
assert 'prompt_id' in e.args[0], f"Did not get proper error message: {e}"
|
||||
else:
|
||||
client.run(g)
|
||||
|
||||
@ -113,12 +113,48 @@ class StubFloat:
|
||||
def stub_float(self, value):
|
||||
return (value,)
|
||||
|
||||
class StubStringOutput:
|
||||
@classmethod
|
||||
def INPUT_TYPES(cls):
|
||||
return {
|
||||
"required": {
|
||||
"value": ("STRING", {"default": ""}),
|
||||
},
|
||||
}
|
||||
|
||||
RETURN_TYPES = ("STRING",)
|
||||
FUNCTION = "stub_string"
|
||||
|
||||
CATEGORY = "Testing/Stub Nodes"
|
||||
|
||||
def stub_string(self, value):
|
||||
return (value,)
|
||||
|
||||
class StubStringWithLength:
|
||||
@classmethod
|
||||
def INPUT_TYPES(cls):
|
||||
return {
|
||||
"required": {
|
||||
"text": ("STRING", {"default": "hello", "minLength": 3, "maxLength": 10}),
|
||||
},
|
||||
}
|
||||
|
||||
RETURN_TYPES = ("IMAGE",)
|
||||
FUNCTION = "stub_string_with_length"
|
||||
|
||||
CATEGORY = "Testing/Stub Nodes"
|
||||
|
||||
def stub_string_with_length(self, text):
|
||||
return (torch.zeros(1, 64, 64, 3),)
|
||||
|
||||
TEST_STUB_NODE_CLASS_MAPPINGS = {
|
||||
"StubImage": StubImage,
|
||||
"StubConstantImage": StubConstantImage,
|
||||
"StubMask": StubMask,
|
||||
"StubInt": StubInt,
|
||||
"StubFloat": StubFloat,
|
||||
"StubStringOutput": StubStringOutput,
|
||||
"StubStringWithLength": StubStringWithLength,
|
||||
}
|
||||
TEST_STUB_NODE_DISPLAY_NAME_MAPPINGS = {
|
||||
"StubImage": "Stub Image",
|
||||
@ -126,4 +162,6 @@ TEST_STUB_NODE_DISPLAY_NAME_MAPPINGS = {
|
||||
"StubMask": "Stub Mask",
|
||||
"StubInt": "Stub Int",
|
||||
"StubFloat": "Stub Float",
|
||||
"StubStringOutput": "Stub String Output",
|
||||
"StubStringWithLength": "Stub String With Length",
|
||||
}
|
||||
|
||||
Loading…
Reference in New Issue
Block a user