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feat: initial ComfyUI workflow templates extension

Browse Source 
- 40 workflow templates (text-to-image, image-to-video, image-to-image,
  text-to-music, upscaling, advanced, nsfw)
- Color-coded placeholder preview images using Pillow
- Template-only extension (no custom nodes)
- Preview generation script for future workflow additions

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Sebastian Krüger
2025-11-26 09:16:45 +01:00
commit d6dfdd72e2
86 changed files with 43550 additions and 0 deletions
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"ver": "0.3.32",
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"name": "ace_step_v1_3.5b.safetensors",
"url": "https://huggingface.co/Comfy-Org/ACE-Step_ComfyUI_repackaged/resolve/main/all_in_one/ace_step_v1_3.5b.safetensors?download=true",
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"[Tutorial](http://docs.comfy.org/tutorials/audio/ace-step/ace-step-v1) | [教程](http://docs.comfy.org/zh-CN/tutorials/audio/ace-step/ace-step-v1)\n\n\n### Model Download\n\nDownload the following model and save it to the **ComfyUI/models/checkpoints** folder.\n[ace_step_v1_3.5b.safetensors](https://huggingface.co/Comfy-Org/ACE-Step_ComfyUI_repackaged/blob/main/all_in_one/ace_step_v1_3.5b.safetensors)\n\n\n### Multilingual Support\n\nCurrently, the implementation of multi-language support for ACE-Step V1 is achieved by uniformly converting different languages into English characters. At present, in ComfyUI, we haven't implemented the step of converting multi-languages into English. This is because if we need to implement the corresponding conversion, we have to add additional core dependencies of ComfyUI, which may lead to uncertain dependency conflicts.\n\nSo, currently, if you need to input multi-language text, you have to manually convert it into English characters to complete this process. Then, at the beginning of the corresponding `lyrics`, input the abbreviation of the corresponding language code.\n\nFor example, for Chinese, use `[zh]`, for Japanese use `[ja]`, for Korean use `[ko]`, and so on. For specific language input, please check the examples in the instructions. \n\nFor example, Chinese `[zh]`, Japanese `[ja]`, Korean `[ko]`, etc.\n\nExample:\n\n```\n[verse]\n\n[zh]wo3zou3guo4shen1ye4de5jie1dao4\n[zh]leng3feng1chui1luan4si1nian4de5piao4liang4wai4tao4\n[zh]ni3de5wei1xiao4xiang4xing1guang1hen3xuan4yao4\n[zh]zhao4liang4le5wo3gu1du2de5mei3fen1mei3miao3\n\n[chorus]\n\n[verse]​\n[ko]hamkke si-kkeuleo-un sesang-ui sodong-eul pihae​\n[ko]honja ogsang-eseo dalbich-ui eolyeompus-ileul balaboda​\n[ko]niga salang-eun lideum-i ganghan eum-ag gatdago malhaess-eo​\n[ko]han ta han tamada ma-eum-ui ondoga eolmana heojeonhanji ijge hae\n\n[bridge]\n[es]cantar mi anhelo por ti sin ocultar\n[es]como poesía y pintura, lleno de anhelo indescifrable\n[es]tu sombra es tan terca como el viento, inborrable\n[es]persiguiéndote en vuelo, brilla como cruzar una mar de nubes\n\n[chorus]\n[fr]que tu sois le vent qui souffle sur ma main\n[fr]un contact chaud comme la douce pluie printanière\n[fr]que tu sois le vent qui s'entoure de mon corps\n[fr]un amour profond qui ne s'éloignera jamais\n\n```\n\n---\n\n### 模型下载\n\n下载下面的模型并保存到 **ComfyUI/models/checkpoints** 文件夹下\n[ace_step_v1_3.5b.safetensors](https://huggingface.co/Comfy-Org/ACE-Step_ComfyUI_repackaged/blob/main/all_in_one/ace_step_v1_3.5b.safetensors)\n\n\n### 多语言支持\n\n目前 ACE-Step V1 多语言的实现是通过将不同语言统一转换为英文字符来实现的，目前在 ComfyUI 中我们并没有实现多语言转换为英文的这一步骤。因为如果需要实现对应转换，则需要增加额外的 ComfyUI 核心依赖，这将可能带来不确定的依赖冲突。\n\n所以目前如果你需要输入多语言，则需要手动转换为英文字符来实现这一过程，然后在对应 `lyrics` 开头输入对应语言代码的缩写。\n\n比如中文`[zh]` 日语 `[ja]` 韩语 `[ko]` 等，具体语言输入请查看说明中的示例\n\n"
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"These nodes can save audio in different formats. Currently, all the modes are Bypass. You can enable them as per your needs.\n\n这些节点可以将 audio 保存成不同格式，目前的模式都是 Bypass ，你可以按你的需要来启用"
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"anime, cute female vocals, kawaii pop, j-pop, childish, piano, guitar, synthesizer, fast, happy, cheerful, lighthearted",
"[verse]\nフワフワ　オミミガ\nユレルヨ　カゼノナカ\nキラキラ　アオイメ\nミツメル　セカイヲ\n\n[verse]\nフワフワ　シッポハ\nオオキク　ユレルヨ\nキンイロ　カミノケ\nナビクヨ　カゼノナカ\n\n[verse]\nコンフィーユーアイノ\nマモリビト\nピンクノ　セーターデ\nエガオヲ　クレルヨ\n\nアオイロ　スカートト\nクロイコート　キンノモヨウ\nヤサシイ　ヒカリガ\nツツムヨ　フェネックガール\n\n[verse]\nフワフワ　オミミデ\nキコエル　ココロノ　コエ\nダイスキ　フェネックガール\nイツデモ　ソバニイルヨ",
0.9900000000000002
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"title": "About Repainting",
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"VHS_latentpreviewrate": 0,
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"[Tutorial](http://docs.comfy.org/tutorials/audio/ace-step/ace-step-v1) | [教程](http://docs.comfy.org/zh-CN/tutorials/audio/ace-step/ace-step-v1)\n\n\n### Model Download\n\nDownload the following model and save it to the **ComfyUI/models/checkpoints** folder.\n[ace_step_v1_3.5b.safetensors](https://huggingface.co/Comfy-Org/ACE-Step_ComfyUI_repackaged/blob/main/all_in_one/ace_step_v1_3.5b.safetensors)\n\n\n### Multilingual Support\n\nCurrently, the implementation of multi-language support for ACE-Step V1 is achieved by uniformly converting different languages into English characters. At present, in ComfyUI, we haven't implemented the step of converting multi-languages into English. This is because if we need to implement the corresponding conversion, we have to add additional core dependencies of ComfyUI, which may lead to uncertain dependency conflicts.\n\nSo, currently, if you need to input multi-language text, you have to manually convert it into English characters to complete this process. Then, at the beginning of the corresponding `lyrics`, input the abbreviation of the corresponding language code.\n\nFor example, for Chinese, use `[zh]`, for Japanese use `[ja]`, for Korean use `[ko]`, and so on. For specific language input, please check the examples in the instructions. \n\nFor example, Chinese `[zh]`, Japanese `[ja]`, Korean `[ko]`, etc.\n\nExample:\n\n```\n[verse]\n\n[zh]wo3zou3guo4shen1ye4de5jie1dao4\n[zh]leng3feng1chui1luan4si1nian4de5piao4liang4wai4tao4\n[zh]ni3de5wei1xiao4xiang4xing1guang1hen3xuan4yao4\n[zh]zhao4liang4le5wo3gu1du2de5mei3fen1mei3miao3\n\n[chorus]\n\n[verse]​\n[ko]hamkke si-kkeuleo-un sesang-ui sodong-eul pihae​\n[ko]honja ogsang-eseo dalbich-ui eolyeompus-ileul balaboda​\n[ko]niga salang-eun lideum-i ganghan eum-ag gatdago malhaess-eo​\n[ko]han ta han tamada ma-eum-ui ondoga eolmana heojeonhanji ijge hae\n\n[bridge]\n[es]cantar mi anhelo por ti sin ocultar\n[es]como poesía y pintura, lleno de anhelo indescifrable\n[es]tu sombra es tan terca como el viento, inborrable\n[es]persiguiéndote en vuelo, brilla como cruzar una mar de nubes\n\n[chorus]\n[fr]que tu sois le vent qui souffle sur ma main\n[fr]un contact chaud comme la douce pluie printanière\n[fr]que tu sois le vent qui s'entoure de mon corps\n[fr]un amour profond qui ne s'éloignera jamais\n\n```\n\n---\n\n### 模型下载\n\n下载下面的模型并保存到 **ComfyUI/models/checkpoints** 文件夹下\n[ace_step_v1_3.5b.safetensors](https://huggingface.co/Comfy-Org/ACE-Step_ComfyUI_repackaged/blob/main/all_in_one/ace_step_v1_3.5b.safetensors)\n\n\n### 多语言支持\n\n目前 ACE-Step V1 多语言的实现是通过将不同语言统一转换为英文字符来实现的，目前在 ComfyUI 中我们并没有实现多语言转换为英文的这一步骤。因为如果需要实现对应转换，则需要增加额外的 ComfyUI 核心依赖，这将可能带来不确定的依赖冲突。\n\n所以目前如果你需要输入多语言，则需要手动转换为英文字符来实现这一过程，然后在对应 `lyrics` 开头输入对应语言代码的缩写。\n\n比如中文`[zh]` 日语 `[ja]` 韩语 `[ko]` 等，具体语言输入请查看说明中的示例\n\n"
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"name": "AnimateDiff Video Production",
"version": "1.0.0",
"description": "Text-to-video generation using AnimateDiff. Create animated sequences from text prompts with natural motion.",
"category": "advanced",
"tags": [
"animatediff",
"text-to-video",
"animation",
"advanced",
"production"
],
"requirements": {
"models": [
"stable-diffusion-v1-5",
"animatediff-motion-module-v15"
],
"custom_nodes": [
"ComfyUI-AnimateDiff-Evolved",
"ComfyUI-VideoHelperSuite"
],
"vram_min": "12GB"
},
"parameters": {
"prompt": {
"node_id": 5,
"type": "string",
"required": true,
"description": "Describe action and movement"
},
"frames": {
"node_id": 7,
"type": "integer",
"default": 16,
"description": "Number of frames (8-32)"
},
"fps": {
"node_id": 10,
"type": "integer",
"default": 8
}
},
"performance": {
"avg_generation_time": "60-90 seconds",
"vram_usage": "~16-20GB",
"output": "16 frames (~2s @ 8fps)"
},
"use_cases": [
"Text-to-video animation",
"Character animations",
"Motion graphics",
"Animated storyboards"
]
}
},
"version": 0.4
}

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{
"last_node_id": 10,
"last_link_id": 10,
"nodes": [
{
"id": 1,
"type": "CheckpointLoaderSimple",
"pos": [50, 100],
"size": {"0": 350, "1": 100},
"flags": {},
"order": 0,
"mode": 0,
"properties": {"Node name for S&R": "CheckpointLoaderSimple"},
"widgets_values": ["sd_xl_base_1.0.safetensors"],
"title": "SDXL Base Loader",
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{"name": "MODEL", "type": "MODEL", "links": [1], "slot_index": 0},
{"name": "CLIP", "type": "CLIP", "links": [2, 3], "slot_index": 1},
{"name": "VAE", "type": "VAE", "links": [4], "slot_index": 2}
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},
{
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"flags": {},
"order": 1,
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"properties": {"Node name for S&R": "CLIPTextEncode"},
"widgets_values": ["A beautiful landscape"],
"title": "API Base Prompt",
"inputs": [
{"name": "clip", "type": "CLIP", "link": 2}
],
"outputs": [
{"name": "CONDITIONING", "type": "CONDITIONING", "links": [5], "slot_index": 0}
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},
{
"id": 3,
"type": "CLIPTextEncode",
"pos": [450, 350],
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"flags": {},
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"mode": 0,
"properties": {"Node name for S&R": "CLIPTextEncode"},
"widgets_values": ["blurry, low quality"],
"title": "API Negative Prompt",
"inputs": [
{"name": "clip", "type": "CLIP", "link": 3}
],
"outputs": [
{"name": "CONDITIONING", "type": "CONDITIONING", "links": [6], "slot_index": 0}
]
},
{
"id": 4,
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"pos": [450, 600],
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"flags": {},
"order": 3,
"mode": 0,
"properties": {"Node name for S&R": "EmptyLatentImage"},
"widgets_values": [1024, 1024, 4],
"title": "API Latent Config (Batch=4)",
"outputs": [
{"name": "LATENT", "type": "LATENT", "links": [7], "slot_index": 0}
]
},
{
"id": 5,
"type": "KSampler",
"pos": [900, 100],
"size": {"0": 315, "1": 474},
"flags": {},
"order": 4,
"mode": 0,
"properties": {"Node name for S&R": "KSampler"},
"widgets_values": [42, "fixed", 20, 7.0, "euler", "normal", 1],
"title": "Batch Sampler (4 variations)",
"inputs": [
{"name": "model", "type": "MODEL", "link": 1},
{"name": "positive", "type": "CONDITIONING", "link": 5},
{"name": "negative", "type": "CONDITIONING", "link": 6},
{"name": "latent_image", "type": "LATENT", "link": 7}
],
"outputs": [
{"name": "LATENT", "type": "LATENT", "links": [8], "slot_index": 0}
]
},
{
"id": 6,
"type": "VAEDecode",
"pos": [1270, 100],
"size": {"0": 210, "1": 46},
"flags": {},
"order": 5,
"mode": 0,
"properties": {"Node name for S&R": "VAEDecode"},
"title": "VAE Decode Batch",
"inputs": [
{"name": "samples", "type": "LATENT", "link": 8},
{"name": "vae", "type": "VAE", "link": 4}
],
"outputs": [
{"name": "IMAGE", "type": "IMAGE", "links": [9, 10], "slot_index": 0}
]
},
{
"id": 7,
"type": "PreviewImage",
"pos": [1530, 100],
"size": {"0": 400, "1": 400},
"flags": {},
"order": 6,
"mode": 0,
"properties": {"Node name for S&R": "PreviewImage"},
"title": "Preview All Variations",
"inputs": [
{"name": "images", "type": "IMAGE", "link": 9}
]
},
{
"id": 8,
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"pos": [1530, 550],
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"flags": {},
"order": 7,
"mode": 0,
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"widgets_values": ["batch_output"],
"title": "API Save All",
"inputs": [
{"name": "images", "type": "IMAGE", "link": 10}
]
}
],
"links": [
[1, 1, 0, 5, 0, "MODEL"],
[2, 1, 1, 2, 0, "CLIP"],
[3, 1, 1, 3, 0, "CLIP"],
[4, 1, 2, 6, 1, "VAE"],
[5, 2, 0, 5, 1, "CONDITIONING"],
[6, 3, 0, 5, 2, "CONDITIONING"],
[7, 4, 0, 5, 3, "LATENT"],
[8, 5, 0, 6, 0, "LATENT"],
[9, 6, 0, 7, 0, "IMAGE"],
[10, 6, 0, 8, 0, "IMAGE"]
],
"groups": [],
"config": {},
"extra": {
"workflow_info": {
"name": "Batch Pipeline Production",
"version": "1.0.0",
"description": "Batch generation pipeline for multiple variations. Generate 4 images simultaneously with different seeds for rapid iteration using Stable Diffusion XL.",
"category": "advanced",
"tags": [
"batch",
"multi-generation",
"variations",
"advanced",
"production",
"flux"
],
"requirements": {
"models": ["stable-diffusion-xl-base-1.0"],
"custom_nodes": [],
"vram_min": "20GB",
"vram_recommended": "24GB"
},
"parameters": {
"prompt": {
"node_id": 2,
"widget_index": 0,
"type": "string",
"required": true,
"default": "A beautiful landscape",
"description": "Text description of desired image"
},
"negative_prompt": {
"node_id": 3,
"widget_index": 0,
"type": "string",
"required": false,
"default": "blurry, low quality",
"description": "Undesired elements to avoid"
},
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"widget_index": 2,
"type": "integer",
"required": false,
"default": 4,
"min": 1,
"max": 8,
"description": "Number of variations to generate (batch size)"
},
"seed": {
"node_id": 5,
"widget_index": 0,
"type": "integer",
"required": false,
"default": 42,
"min": 0,
"max": 4294967295,
"description": "Random seed for reproducibility"
},
"steps": {
"node_id": 5,
"widget_index": 2,
"type": "integer",
"required": false,
"default": 20,
"min": 15,
"max": 50,
"description": "Number of sampling steps (20-30 recommended for SDXL)"
}
},
"outputs": {
"images": {
"node_id": 8,
"type": "image",
"format": "PNG",
"count": 4,
"resolution": "1024x1024 (configurable)"
}
},
"performance": {
"avg_generation_time": "45-60 seconds for 4 images (20 steps)",
"vram_usage": "~20-24GB (depends on batch size)",
"gpu_utilization": "95-100%"
},
"use_cases": [
"Rapid prototyping with multiple variations",
"Concept exploration and A/B testing",
"Client presentations with options",
"Quick iteration workflows"
]
}
},
"version": 0.4
}

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{
"last_node_id": 8,
"last_link_id": 10,
"nodes": [
{
"id": 1,
"type": "LoadImage",
"pos": [50, 100],
"size": [315, 314],
"widgets_values": ["input_frame.png", "image"],
"title": "API Input Image",
"flags": {},
"order": 0,
"mode": 0,
"properties": {
"Node name for S&R": "LoadImage"
},
"outputs": [
{
"name": "IMAGE",
"type": "IMAGE",
"links": [1],
"slot_index": 0
},
{
"name": "MASK",
"type": "MASK",
"links": null
}
]
},
{
"id": 2,
"type": "DownloadAndLoadCogVideoModel",
"pos": [50, 500],
"size": [350, 100],
"widgets_values": ["THUDM/CogVideoX-5b-I2V", "bf16", "disabled", true],
"title": "CogVideoX-5b-I2V Loader",
"flags": {},
"order": 1,
"mode": 0,
"properties": {
"Node name for S&R": "DownloadAndLoadCogVideoModel"
},
"outputs": [
{
"name": "model",
"type": "COGVIDEOMODEL",
"links": [2],
"slot_index": 0
},
{
"name": "vae",
"type": "VAE",
"links": [3, 10],
"slot_index": 1
}
]
},
{
"id": 7,
"type": "CLIPLoader",
"pos": [50, 650],
"size": [350, 100],
"widgets_values": ["t5xxl_fp16.safetensors", "sd3"],
"title": "T5 CLIP Loader",
"flags": {},
"order": 2,
"mode": 0,
"properties": {
"Node name for S&R": "CLIPLoader"
},
"outputs": [
{
"name": "CLIP",
"type": "CLIP",
"links": [4, 5],
"slot_index": 0
}
]
},
{
"id": 3,
"type": "CogVideoTextEncode",
"pos": [450, 100],
"size": [400, 200],
"widgets_values": ["Camera movement description, action, scene details", 1, false],
"title": "API Video Prompt (Positive)",
"flags": {},
"order": 3,
"mode": 0,
"properties": {
"Node name for S&R": "CogVideoTextEncode"
},
"inputs": [
{
"name": "clip",
"type": "CLIP",
"link": 4
}
],
"outputs": [
{
"name": "conditioning",
"type": "CONDITIONING",
"links": [6],
"slot_index": 0
},
{
"name": "clip",
"type": "CLIP",
"links": null
}
]
},
{
"id": 8,
"type": "CogVideoTextEncode",
"pos": [450, 350],
"size": [400, 200],
"widgets_values": ["low quality, blurry, distorted, watermark", 1, true],
"title": "API Video Prompt (Negative)",
"flags": {},
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"mode": 0,
"properties": {
"Node name for S&R": "CogVideoTextEncode"
},
"inputs": [
{
"name": "clip",
"type": "CLIP",
"link": 5
}
],
"outputs": [
{
"name": "conditioning",
"type": "CONDITIONING",
"links": [7],
"slot_index": 0
},
{
"name": "clip",
"type": "CLIP",
"links": null
}
]
},
{
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"pos": [450, 600],
"size": [315, 100],
"widgets_values": [],
"title": "Encode Input Image",
"flags": {},
"order": 5,
"mode": 0,
"properties": {
"Node name for S&R": "CogVideoImageEncode"
},
"inputs": [
{
"name": "vae",
"type": "VAE",
"link": 3
},
{
"name": "start_image",
"type": "IMAGE",
"link": 1
}
],
"outputs": [
{
"name": "samples",
"type": "LATENT",
"links": [8],
"slot_index": 0
}
]
},
{
"id": 4,
"type": "CogVideoSampler",
"pos": [900, 100],
"size": [315, 474],
"widgets_values": [49, 50, 6.0, 42, "fixed", "CogVideoXDDIM", 1.0],
"title": "CogVideoX Sampler (6s @ 8fps)",
"flags": {},
"order": 6,
"mode": 0,
"properties": {
"Node name for S&R": "CogVideoSampler"
},
"inputs": [
{
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"type": "COGVIDEOMODEL",
"link": 2
},
{
"name": "positive",
"type": "CONDITIONING",
"link": 6
},
{
"name": "negative",
"type": "CONDITIONING",
"link": 7
},
{
"name": "image_cond_latents",
"type": "LATENT",
"link": 8
}
],
"outputs": [
{
"name": "samples",
"type": "LATENT",
"links": [9],
"slot_index": 0
}
]
},
{
"id": 5,
"type": "CogVideoDecode",
"pos": [1250, 100],
"size": [315, 200],
"widgets_values": [true, 240, 360, 0.25, 0.25],
"title": "VAE Decode Video",
"flags": {},
"order": 7,
"mode": 0,
"properties": {
"Node name for S&R": "CogVideoDecode"
},
"inputs": [
{
"name": "vae",
"type": "VAE",
"link": 10
},
{
"name": "samples",
"type": "LATENT",
"link": 9
}
],
"outputs": [
{
"name": "images",
"type": "IMAGE",
"links": [11],
"slot_index": 0
}
]
},
{
"id": 6,
"type": "VHS_VideoCombine",
"pos": [1600, 100],
"size": [315, 200],
"widgets_values": [8, 0, "cogvideox_output", "video/h264-mp4", "yuv420p", 19, true, false],
"title": "Combine Video Frames",
"flags": {},
"order": 8,
"mode": 0,
"properties": {
"Node name for S&R": "VHS_VideoCombine"
},
"inputs": [
{
"name": "images",
"type": "IMAGE",
"link": 11
}
],
"outputs": [
{
"name": "Filenames",
"type": "VHS_FILENAMES",
"links": null
}
]
}
],
"links": [
[1, 1, 0, 9, 1, "IMAGE"],
[2, 2, 0, 4, 0, "COGVIDEOMODEL"],
[3, 2, 1, 9, 0, "VAE"],
[4, 7, 0, 3, 0, "CLIP"],
[5, 7, 0, 8, 0, "CLIP"],
[6, 3, 0, 4, 1, "CONDITIONING"],
[7, 8, 0, 4, 2, "CONDITIONING"],
[8, 9, 0, 4, 3, "LATENT"],
[9, 4, 0, 5, 1, "LATENT"],
[10, 2, 1, 5, 0, "VAE"],
[11, 5, 0, 6, 0, "IMAGE"]
],
"groups": [],
"config": {},
"extra": {
"workflow_info": {
"name": "CogVideoX Image-to-Video Production",
"version": "1.2.0",
"description": "AI-driven image-to-video using CogVideoX-5b-I2V. Generate 6-second videos (49 frames @ 8fps) from input images with camera movement and action.",
"category": "image-to-video",
"tags": ["cogvideox", "i2v", "video-generation", "production"],
"requirements": {
"models": ["CogVideoX-5b-I2V", "T5-XXL FP16"],
"custom_nodes": ["ComfyUI-VideoHelperSuite", "ComfyUI-CogVideoXWrapper"],
"vram_min": "20GB",
"vram_recommended": "24GB"
},
"parameters": {
"input_image": {
"node_id": 1,
"widget_index": 0,
"type": "image",
"required": true,
"description": "Starting frame for video generation"
},
"positive_prompt": {
"node_id": 3,
"widget_index": 0,
"type": "string",
"required": true,
"default": "Camera movement description, action, scene details",
"description": "Describe desired camera movement, actions, and scene"
},
"negative_prompt": {
"node_id": 8,
"widget_index": 0,
"type": "string",
"required": false,
"default": "low quality, blurry, distorted, watermark",
"description": "Undesired elements to avoid"
},
"num_frames": {
"node_id": 4,
"widget_index": 0,
"type": "integer",
"required": false,
"default": 49,
"min": 1,
"max": 1024,
"description": "Number of frames to generate (49 = ~6s @ 8fps)"
},
"steps": {
"node_id": 4,
"widget_index": 1,
"type": "integer",
"required": false,
"default": 50,
"min": 20,
"max": 100,
"description": "Sampling steps (50 recommended for quality)"
},
"cfg": {
"node_id": 4,
"widget_index": 2,
"type": "float",
"required": false,
"default": 6.0,
"min": 1.0,
"max": 30.0,
"description": "Classifier-free guidance scale"
},
"seed": {
"node_id": 4,
"widget_index": 3,
"type": "integer",
"required": false,
"default": 42,
"description": "Random seed for reproducibility"
},
"fps": {
"node_id": 6,
"widget_index": 0,
"type": "integer",
"required": false,
"default": 8,
"description": "Output video framerate"
}
},
"outputs": {
"video": {
"node_id": 6,
"type": "video",
"format": "MP4 (H.264)",
"resolution": "Based on input image",
"duration": "~6 seconds @ 8fps (49 frames)"
}
},
"performance": {
"avg_generation_time": "120-180 seconds",
"vram_usage": "~20-22GB",
"gpu_utilization": "95-100%"
},
"use_cases": [
"Animate static images with camera motion",
"Create video loops from single frames",
"Add dynamic movement to product shots",
"Generate cinematic camera movements"
],
"notes": [
"CogVideoX-5b-I2V is specifically trained for image-to-video generation",
"Model will download automatically on first use (~10GB)",
"Enable VAE tiling to reduce VRAM usage",
"Higher steps (50-100) improve quality but increase generation time",
"T5-XXL text encoder required - automatically linked from SD3.5"
]
}
},
"version": 0.4
}

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{
"last_node_id": 14,
"last_link_id": 18,
"nodes": [
{
"id": 1,
"type": "CheckpointLoaderSimple",
"pos": [50, 100],
"size": {"0": 350, "1": 100},
"flags": {},
"order": 0,
"mode": 0,
"properties": {"Node name for S&R": "CheckpointLoaderSimple"},
"widgets_values": ["sd_xl_base_1.0.safetensors"],
"title": "SDXL Base Loader",
"outputs": [
{"name": "MODEL", "type": "MODEL", "links": [1], "slot_index": 0},
{"name": "CLIP", "type": "CLIP", "links": [2, 3], "slot_index": 1},
{"name": "VAE", "type": "VAE", "links": [4], "slot_index": 2}
]
},
{
"id": 2,
"type": "CLIPTextEncode",
"pos": [450, 100],
"size": {"0": 400, "1": 200},
"flags": {},
"order": 1,
"mode": 0,
"properties": {"Node name for S&R": "CLIPTextEncode"},
"widgets_values": ["A futuristic city with precise architecture"],
"title": "API Positive Prompt",
"inputs": [
{"name": "clip", "type": "CLIP", "link": 2}
],
"outputs": [
{"name": "CONDITIONING", "type": "CONDITIONING", "links": [9], "slot_index": 0}
]
},
{
"id": 3,
"type": "CLIPTextEncode",
"pos": [450, 350],
"size": {"0": 400, "1": 200},
"flags": {},
"order": 2,
"mode": 0,
"properties": {"Node name for S&R": "CLIPTextEncode"},
"widgets_values": ["blurry, low quality, distorted"],
"title": "API Negative Prompt",
"inputs": [
{"name": "clip", "type": "CLIP", "link": 3}
],
"outputs": [
{"name": "CONDITIONING", "type": "CONDITIONING", "links": [10], "slot_index": 0}
]
},
{
"id": 4,
"type": "ControlNetLoader",
"pos": [50, 300],
"size": {"0": 350, "1": 100},
"flags": {},
"order": 3,
"mode": 0,
"properties": {"Node name for S&R": "ControlNetLoader"},
"widgets_values": ["controlnet-depth-sdxl-1.0.safetensors"],
"title": "Load Depth ControlNet",
"outputs": [
{"name": "CONTROL_NET", "type": "CONTROL_NET", "links": [7], "slot_index": 0}
]
},
{
"id": 5,
"type": "LoadImage",
"pos": [50, 450],
"size": {"0": 350, "1": 100},
"flags": {},
"order": 4,
"mode": 0,
"properties": {"Node name for S&R": "LoadImage"},
"widgets_values": ["examples/control_depth.png"],
"title": "API Depth Image",
"outputs": [
{"name": "IMAGE", "type": "IMAGE", "links": [5], "slot_index": 0},
{"name": "MASK", "type": "MASK", "links": null, "slot_index": 1}
]
},
{
"id": 6,
"type": "ControlNetApplyAdvanced",
"pos": [900, 100],
"size": {"0": 315, "1": 186},
"flags": {},
"order": 5,
"mode": 0,
"properties": {"Node name for S&R": "ControlNetApplyAdvanced"},
"widgets_values": [0.8, 0.0, 1.0],
"title": "Apply Depth Control",
"inputs": [
{"name": "positive", "type": "CONDITIONING", "link": 9},
{"name": "negative", "type": "CONDITIONING", "link": 10},
{"name": "control_net", "type": "CONTROL_NET", "link": 7},
{"name": "image", "type": "IMAGE", "link": 5}
],
"outputs": [
{"name": "positive", "type": "CONDITIONING", "links": [11], "slot_index": 0},
{"name": "negative", "type": "CONDITIONING", "links": [12], "slot_index": 1}
]
},
{
"id": 7,
"type": "ControlNetLoader",
"pos": [50, 600],
"size": {"0": 350, "1": 100},
"flags": {},
"order": 6,
"mode": 0,
"properties": {"Node name for S&R": "ControlNetLoader"},
"widgets_values": ["controlnet-canny-sdxl-1.0.safetensors"],
"title": "Load Canny ControlNet",
"outputs": [
{"name": "CONTROL_NET", "type": "CONTROL_NET", "links": [8], "slot_index": 0}
]
},
{
"id": 8,
"type": "LoadImage",
"pos": [50, 750],
"size": {"0": 350, "1": 100},
"flags": {},
"order": 7,
"mode": 0,
"properties": {"Node name for S&R": "LoadImage"},
"widgets_values": ["examples/control_canny.png"],
"title": "API Canny Image",
"outputs": [
{"name": "IMAGE", "type": "IMAGE", "links": [6], "slot_index": 0},
{"name": "MASK", "type": "MASK", "links": null, "slot_index": 1}
]
},
{
"id": 9,
"type": "ControlNetApplyAdvanced",
"pos": [900, 400],
"size": {"0": 315, "1": 186},
"flags": {},
"order": 8,
"mode": 0,
"properties": {"Node name for S&R": "ControlNetApplyAdvanced"},
"widgets_values": [0.6, 0.0, 1.0],
"title": "Apply Canny Control",
"inputs": [
{"name": "positive", "type": "CONDITIONING", "link": 11},
{"name": "negative", "type": "CONDITIONING", "link": 12},
{"name": "control_net", "type": "CONTROL_NET", "link": 8},
{"name": "image", "type": "IMAGE", "link": 6}
],
"outputs": [
{"name": "positive", "type": "CONDITIONING", "links": [13], "slot_index": 0},
{"name": "negative", "type": "CONDITIONING", "links": [14], "slot_index": 1}
]
},
{
"id": 10,
"type": "EmptyLatentImage",
"pos": [450, 600],
"size": {"0": 315, "1": 106},
"flags": {},
"order": 9,
"mode": 0,
"properties": {"Node name for S&R": "EmptyLatentImage"},
"widgets_values": [1024, 1024, 1],
"title": "API Latent Config",
"outputs": [
{"name": "LATENT", "type": "LATENT", "links": [15], "slot_index": 0}
]
},
{
"id": 11,
"type": "KSampler",
"pos": [1270, 100],
"size": {"0": 315, "1": 474},
"flags": {},
"order": 10,
"mode": 0,
"properties": {"Node name for S&R": "KSampler"},
"widgets_values": [42, "fixed", 30, 7.0, "euler", "normal", 1],
"title": "ControlNet Sampler",
"inputs": [
{"name": "model", "type": "MODEL", "link": 1},
{"name": "positive", "type": "CONDITIONING", "link": 13},
{"name": "negative", "type": "CONDITIONING", "link": 14},
{"name": "latent_image", "type": "LATENT", "link": 15}
],
"outputs": [
{"name": "LATENT", "type": "LATENT", "links": [16], "slot_index": 0}
]
},
{
"id": 12,
"type": "VAEDecode",
"pos": [1640, 100],
"size": {"0": 210, "1": 46},
"flags": {},
"order": 11,
"mode": 0,
"properties": {"Node name for S&R": "VAEDecode"},
"title": "VAE Decode",
"inputs": [
{"name": "samples", "type": "LATENT", "link": 16},
{"name": "vae", "type": "VAE", "link": 4}
],
"outputs": [
{"name": "IMAGE", "type": "IMAGE", "links": [17, 18], "slot_index": 0}
]
},
{
"id": 13,
"type": "PreviewImage",
"pos": [1900, 100],
"size": {"0": 400, "1": 400},
"flags": {},
"order": 12,
"mode": 0,
"properties": {"Node name for S&R": "PreviewImage"},
"title": "Preview Result",
"inputs": [
{"name": "images", "type": "IMAGE", "link": 17}
]
},
{
"id": 14,
"type": "SaveImage",
"pos": [1900, 550],
"size": {"0": 400, "1": 100},
"flags": {},
"order": 13,
"mode": 0,
"properties": {"Node name for S&R": "SaveImage"},
"widgets_values": ["controlnet_output"],
"title": "API Save Image",
"inputs": [
{"name": "images", "type": "IMAGE", "link": 18}
]
}
],
"links": [
[1, 1, 0, 11, 0, "MODEL"],
[2, 1, 1, 2, 0, "CLIP"],
[3, 1, 1, 3, 0, "CLIP"],
[4, 1, 2, 12, 1, "VAE"],
[5, 5, 0, 6, 3, "IMAGE"],
[6, 8, 0, 9, 3, "IMAGE"],
[7, 4, 0, 6, 2, "CONTROL_NET"],
[8, 7, 0, 9, 2, "CONTROL_NET"],
[9, 2, 0, 6, 0, "CONDITIONING"],
[10, 3, 0, 6, 1, "CONDITIONING"],
[11, 6, 0, 9, 0, "CONDITIONING"],
[12, 6, 1, 9, 1, "CONDITIONING"],
[13, 9, 0, 11, 1, "CONDITIONING"],
[14, 9, 1, 11, 2, "CONDITIONING"],
[15, 10, 0, 11, 3, "LATENT"],
[16, 11, 0, 12, 0, "LATENT"],
[17, 12, 0, 13, 0, "IMAGE"],
[18, 12, 0, 14, 0, "IMAGE"]
],
"groups": [],
"config": {},
"extra": {
"workflow_info": {
"name": "ControlNet Fusion Production",
"version": "1.0.0",
"description": "Multi-ControlNet workflow combining depth and canny edge control for precise composition. Chain multiple control methods for maximum control over generation.",
"category": "advanced",
"tags": [
"controlnet",
"multi-control",
"depth",
"canny",
"advanced",
"production",
"sdxl"
],
"requirements": {
"models": [
"stable-diffusion-xl-base-1.0",
"controlnet-depth-sdxl-1.0",
"controlnet-canny-sdxl-1.0"
],
"custom_nodes": [],
"vram_min": "16GB",
"vram_recommended": "24GB"
},
"parameters": {
"prompt": {
"node_id": 2,
"widget_index": 0,
"type": "string",
"required": true,
"default": "A futuristic city with precise architecture",
"description": "Text description of desired image"
},
"negative_prompt": {
"node_id": 3,
"widget_index": 0,
"type": "string",
"required": false,
"default": "blurry, low quality, distorted",
"description": "Undesired elements to avoid"
},
"depth_image": {
"node_id": 5,
"widget_index": 0,
"type": "string",
"required": true,
"default": "examples/control_depth.png",
"description": "Depth map image for spatial control"
},
"canny_image": {
"node_id": 8,
"widget_index": 0,
"type": "string",
"required": true,
"default": "examples/control_canny.png",
"description": "Canny edge image for structure control"
},
"depth_strength": {
"node_id": 6,
"widget_index": 0,
"type": "float",
"required": false,
"default": 0.8,
"min": 0.0,
"max": 2.0,
"description": "Strength of depth control (0.0-2.0)"
},
"canny_strength": {
"node_id": 9,
"widget_index": 0,
"type": "float",
"required": false,
"default": 0.6,
"min": 0.0,
"max": 2.0,
"description": "Strength of canny edge control (0.0-2.0)"
},
"steps": {
"node_id": 11,
"widget_index": 2,
"type": "integer",
"required": false,
"default": 30,
"min": 20,
"max": 50,
"description": "Number of sampling steps (30-40 recommended for ControlNet)"
},
"seed": {
"node_id": 11,
"widget_index": 0,
"type": "integer",
"required": false,
"default": 42,
"min": 0,
"max": 4294967295,
"description": "Random seed for reproducibility"
}
},
"outputs": {
"images": {
"node_id": 14,
"type": "image",
"format": "PNG",
"count": 1,
"resolution": "1024x1024 (configurable)"
}
},
"performance": {
"avg_generation_time": "50-70 seconds (30 steps)",
"vram_usage": "~18-22GB (dual ControlNet + SDXL)",
"gpu_utilization": "95-100%"
},
"use_cases": [
"Architectural visualization with precise control",
"Product renders with exact composition",
"Character poses with depth and edge guidance",
"Complex scene generation with multiple constraints"
],
"notes": [
"Example control images provided in examples/ directory",
"Depth map: Grayscale image where brightness = distance from camera",
"Canny edges: White edges on black background",
"Adjust control strengths to balance control vs. creativity",
"Higher steps (30-40) recommended for best quality with ControlNet"
]
}
},
"version": 0.4
}

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{
"last_node_id": 3,
"last_link_id": 2,
"nodes": [
{
"id": 1,
"type": "DiffRhythmRun",
"pos": [100, 100],
"size": [400, 400],
"flags": {},
"order": 0,
"mode": 0,
"outputs": [
{
"name": "AUDIO",
"type": "AUDIO",
"links": [1, 2]
}
],
"properties": {
"Node name for S&R": "DiffRhythmRun"
},
"widgets_values": [
"cfm_full_model.pt",
"Cinematic orchestral piece with soaring strings, powerful brass, and emotional piano melodies building to an epic crescendo",
true,
"euler",
30,
4,
"quality",
123,
"randomize",
false,
"[-1, 20], [60, -1]"
],
"title": "DiffRhythm Full-Length Text-to-Music (4m45s)"
},
{
"id": 2,
"type": "PreviewAudio",
"pos": [600, 100],
"size": [300, 100],
"flags": {},
"order": 1,
"mode": 0,
"inputs": [
{
"name": "audio",
"type": "AUDIO",
"link": 1
}
],
"properties": {
"Node name for S&R": "PreviewAudio"
},
"title": "Preview Audio"
},
{
"id": 3,
"type": "SaveAudio",
"pos": [600, 250],
"size": [300, 100],
"flags": {},
"order": 2,
"mode": 0,
"inputs": [
{
"name": "audio",
"type": "AUDIO",
"link": 2
}
],
"properties": {
"Node name for S&R": "SaveAudio"
},
"widgets_values": [
"diffrhythm_full_output"
],
"title": "Save Audio"
}
],
"links": [
[1, 1, 0, 2, 0, "AUDIO"],
[2, 1, 0, 3, 0, "AUDIO"]
],
"groups": [],
"config": {},
"extra": {
"workflow_info": {
"name": "DiffRhythm Full-Length Text-to-Music v1",
"description": "Full-length music generation using DiffRhythm Full (4 minutes 45 seconds)",
"version": "1.0.0",
"author": "valknar@pivoine.art",
"category": "text-to-music",
"tags": ["diffrhythm", "music-generation", "text-to-music", "full-length", "4m45s"],
"requirements": {
"custom_nodes": ["ComfyUI_DiffRhythm"],
"models": ["ASLP-lab/DiffRhythm-full", "ASLP-lab/DiffRhythm-vae", "OpenMuQ/MuQ-MuLan-large", "OpenMuQ/MuQ-large-msd-iter", "FacebookAI/xlm-roberta-base"],
"vram_min": "16GB",
"vram_recommended": "20GB",
"system_deps": ["espeak-ng"]
},
"usage": {
"model": "cfm_full_model.pt (DiffRhythm Full - 4m45s/285s generation)",
"style_prompt": "Detailed text description of the desired full-length music composition",
"unload_model": "Boolean to unload model after generation (default: true)",
"odeint_method": "ODE solver: euler, midpoint, rk4, implicit_adams (default: euler)",
"steps": "Number of diffusion steps: 1-100 (default: 30)",
"cfg": "Classifier-free guidance scale: 1-10 (default: 4)",
"quality_or_speed": "Generation mode: quality or speed (default: quality for full-length)",
"seed": "Random seed for reproducibility (default: 123)",
"edit": "Enable segment editing mode (default: false)",
"edit_segments": "Segments to edit when edit=true"
},
"performance": {
"generation_time": "~60-90 seconds on RTX 4090",
"vram_usage": "~16GB during generation",
"note": "Significantly faster than real-time music generation"
},
"notes": [
"This workflow uses DiffRhythm Full for 4 minute 45 second music generation",
"Best for complete song compositions with intro, development, and outro",
"All parameters except model and style_prompt are optional",
"Supports complex, multi-part compositions",
"Can optionally connect MultiLineLyricsDR node for lyrics input"
]
}
},
"version": 0.4
}

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{
"last_node_id": 4,
"last_link_id": 3,
"nodes": [
{
"id": 1,
"type": "LoadAudio",
"pos": [100, 100],
"size": [300, 100],
"flags": {},
"order": 0,
"mode": 0,
"outputs": [
{
"name": "AUDIO",
"type": "AUDIO",
"links": [1]
}
],
"properties": {
"Node name for S&R": "LoadAudio"
},
"widgets_values": [
"reference_audio.wav"
],
"title": "Load Reference Audio"
},
{
"id": 2,
"type": "DiffRhythmRun",
"pos": [500, 100],
"size": [400, 450],
"flags": {},
"order": 1,
"mode": 0,
"inputs": [
{
"name": "style_audio_or_edit_song",
"type": "AUDIO",
"link": 1
}
],
"outputs": [
{
"name": "AUDIO",
"type": "AUDIO",
"links": [2, 3]
}
],
"properties": {
"Node name for S&R": "DiffRhythmRun"
},
"widgets_values": [
"cfm_model_v1_2.pt",
"Energetic rock music with driving guitar riffs and powerful drums",
true,
"euler",
30,
5,
"speed",
456,
"randomize",
false,
"[-1, 20], [60, -1]"
],
"title": "DiffRhythm Reference-Based Generation"
},
{
"id": 3,
"type": "PreviewAudio",
"pos": [1000, 100],
"size": [300, 100],
"flags": {},
"order": 2,
"mode": 0,
"inputs": [
{
"name": "audio",
"type": "AUDIO",
"link": 2
}
],
"properties": {
"Node name for S&R": "PreviewAudio"
},
"title": "Preview Generated Audio"
},
{
"id": 4,
"type": "SaveAudio",
"pos": [1000, 250],
"size": [300, 100],
"flags": {},
"order": 3,
"mode": 0,
"inputs": [
{
"name": "audio",
"type": "AUDIO",
"link": 3
}
],
"properties": {
"Node name for S&R": "SaveAudio"
},
"widgets_values": [
"diffrhythm_reference_output"
],
"title": "Save Audio"
}
],
"links": [
[1, 1, 0, 2, 0, "AUDIO"],
[2, 2, 0, 3, 0, "AUDIO"],
[3, 2, 0, 4, 0, "AUDIO"]
],
"groups": [],
"config": {},
"extra": {
"workflow_info": {
"name": "DiffRhythm Reference-Based Generation v1",
"description": "Generate new music based on a reference audio file while following text prompt guidance",
"version": "1.0.0",
"author": "valknar@pivoine.art",
"category": "text-to-music",
"tags": ["diffrhythm", "music-generation", "reference-based", "style-transfer"],
"requirements": {
"custom_nodes": ["ComfyUI_DiffRhythm"],
"models": ["ASLP-lab/DiffRhythm-1_2", "ASLP-lab/DiffRhythm-vae", "OpenMuQ/MuQ-MuLan-large", "OpenMuQ/MuQ-large-msd-iter", "FacebookAI/xlm-roberta-base"],
"vram_min": "14GB",
"vram_recommended": "18GB",
"system_deps": ["espeak-ng"]
},
"usage": {
"reference_audio": "Path to reference audio file (WAV, MP3, or other supported formats)",
"model": "cfm_model_v1_2.pt (DiffRhythm 1.2)",
"style_prompt": "Text description guiding the style and characteristics of generated music",
"unload_model": "Boolean to unload model after generation (default: true)",
"odeint_method": "ODE solver: euler, midpoint, rk4, implicit_adams (default: euler)",
"steps": "Number of diffusion steps: 1-100 (default: 30)",
"cfg": "Classifier-free guidance scale: 1-10 (default: 5 for reference-based)",
"quality_or_speed": "Generation mode: quality or speed (default: speed)",
"seed": "Random seed for reproducibility (default: 456)",
"edit": "Enable segment editing mode (default: false)",
"edit_segments": "Segments to edit when edit=true"
},
"use_cases": [
"Style transfer: Apply the style of reference music to new prompt",
"Variations: Create variations of existing compositions",
"Genre transformation: Transform music to different genre while keeping structure",
"Mood adaptation: Change the mood/emotion while maintaining musical elements"
],
"notes": [
"This workflow combines reference audio with text prompt guidance",
"The reference audio is connected to the style_audio_or_edit_song input",
"Higher cfg values (7-10) = closer adherence to both prompt and reference",
"Lower cfg values (2-4) = more creative interpretation",
"Reference audio should ideally be similar duration to target (95s for cfm_model_v1_2.pt)",
"Can use any format supported by ComfyUI's LoadAudio node"
]
}
},
"version": 0.4
}

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{
"last_node_id": 3,
"last_link_id": 2,
"nodes": [
{
"id": 1,
"type": "DiffRhythmRun",
"pos": [100, 100],
"size": [400, 400],
"flags": {},
"order": 0,
"mode": 0,
"outputs": [
{
"name": "AUDIO",
"type": "AUDIO",
"links": [1, 2]
}
],
"properties": {
"Node name for S&R": "DiffRhythmRun"
},
"widgets_values": [
"cfm_model_v1_2.pt",
"Upbeat electronic dance music with energetic beats and synthesizer melodies",
true,
"euler",
30,
4,
"speed",
42,
"randomize",
false,
"[-1, 20], [60, -1]"
],
"title": "DiffRhythm Text-to-Music (95s)"
},
{
"id": 2,
"type": "PreviewAudio",
"pos": [600, 100],
"size": [300, 100],
"flags": {},
"order": 1,
"mode": 0,
"inputs": [
{
"name": "audio",
"type": "AUDIO",
"link": 1
}
],
"properties": {
"Node name for S&R": "PreviewAudio"
},
"title": "Preview Audio"
},
{
"id": 3,
"type": "SaveAudio",
"pos": [600, 250],
"size": [300, 100],
"flags": {},
"order": 2,
"mode": 0,
"inputs": [
{
"name": "audio",
"type": "AUDIO",
"link": 2
}
],
"properties": {
"Node name for S&R": "SaveAudio"
},
"widgets_values": [
"diffrhythm_output"
],
"title": "Save Audio"
}
],
"links": [
[1, 1, 0, 2, 0, "AUDIO"],
[2, 1, 0, 3, 0, "AUDIO"]
],
"groups": [],
"config": {},
"extra": {
"workflow_info": {
"name": "DiffRhythm Simple Text-to-Music v1",
"description": "Basic text-to-music generation using DiffRhythm 1.2 (95 seconds)",
"version": "1.0.0",
"author": "valknar@pivoine.art",
"category": "text-to-music",
"tags": ["diffrhythm", "music-generation", "text-to-music", "95s"],
"requirements": {
"custom_nodes": ["ComfyUI_DiffRhythm"],
"models": ["ASLP-lab/DiffRhythm-1_2", "ASLP-lab/DiffRhythm-vae", "OpenMuQ/MuQ-MuLan-large", "OpenMuQ/MuQ-large-msd-iter", "FacebookAI/xlm-roberta-base"],
"vram_min": "12GB",
"vram_recommended": "16GB",
"system_deps": ["espeak-ng"]
},
"usage": {
"model": "cfm_model_v1_2.pt (DiffRhythm 1.2 - 95s generation)",
"style_prompt": "Text description of the desired music style, mood, and instruments",
"unload_model": "Boolean to unload model after generation (default: true)",
"odeint_method": "ODE solver: euler, midpoint, rk4, implicit_adams (default: euler)",
"steps": "Number of diffusion steps: 1-100 (default: 30)",
"cfg": "Classifier-free guidance scale: 1-10 (default: 4)",
"quality_or_speed": "Generation mode: quality or speed (default: speed)",
"seed": "Random seed for reproducibility (default: 42)",
"edit": "Enable segment editing mode (default: false)",
"edit_segments": "Segments to edit when edit=true (default: [-1, 20], [60, -1])"
},
"notes": [
"This workflow uses DiffRhythm 1.2 for 95-second music generation",
"All parameters except model and style_prompt are optional",
"Supports English and Chinese text prompts",
"Generation time: ~30-60 seconds on RTX 4090",
"Can optionally connect MultiLineLyricsDR node for lyrics input"
]
}
},
"version": 0.4
}

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{
"last_node_id": 5,
"last_link_id": 4,
"nodes": [
{
"id": 1,
"type": "LoadImage",
"pos": [50, 100],
"size": [350, 100],
"flags": {},
"order": 0,
"mode": 0,
"outputs": [
{
"name": "IMAGE",
"type": "IMAGE",
"links": [1],
"slot_index": 0
},
{
"name": "MASK",
"type": "MASK",
"links": null,
"slot_index": 1
}
],
"properties": {
"Node name for S&R": "LoadImage"
},
"widgets_values": ["input_portrait.png", "image"],
"title": "API Input Portrait"
},
{
"id": 2,
"type": "UpscaleModelLoader",
"pos": [50, 400],
"size": [350, 100],
"flags": {},
"order": 1,
"mode": 0,
"outputs": [
{
"name": "UPSCALE_MODEL",
"type": "UPSCALE_MODEL",
"links": [2],
"slot_index": 0
}
],
"properties": {
"Node name for S&R": "UpscaleModelLoader"
},
"widgets_values": ["RealESRGAN_x2.pth"],
"title": "Face Upscale Model (2x)"
},
{
"id": 3,
"type": "ImageUpscaleWithModel",
"pos": [450, 100],
"size": [315, 100],
"flags": {},
"order": 2,
"mode": 0,
"inputs": [
{
"name": "upscale_model",
"type": "UPSCALE_MODEL",
"link": 2
},
{
"name": "image",
"type": "IMAGE",
"link": 1
}
],
"outputs": [
{
"name": "IMAGE",
"type": "IMAGE",
"links": [3, 4],
"slot_index": 0
}
],
"properties": {
"Node name for S&R": "ImageUpscaleWithModel"
},
"title": "Upscale Portrait (2x)"
},
{
"id": 4,
"type": "PreviewImage",
"pos": [800, 100],
"size": [315, 100],
"flags": {},
"order": 3,
"mode": 0,
"inputs": [
{
"name": "images",
"type": "IMAGE",
"link": 3
}
],
"properties": {
"Node name for S&R": "PreviewImage"
},
"title": "Preview Enhanced"
},
{
"id": 5,
"type": "SaveImage",
"pos": [800, 400],
"size": [315, 100],
"flags": {},
"order": 4,
"mode": 0,
"inputs": [
{
"name": "images",
"type": "IMAGE",
"link": 4
}
],
"properties": {
"Node name for S&R": "SaveImage"
},
"widgets_values": ["face_upscale_output"],
"title": "API Image Output"
}
],
"links": [
[1, 1, 0, 3, 1, "IMAGE"],
[2, 2, 0, 3, 0, "UPSCALE_MODEL"],
[3, 3, 0, 4, 0, "IMAGE"],
[4, 3, 0, 5, 0, "IMAGE"]
],
"groups": [],
"config": {},
"extra": {
"workflow_info": {
"name": "Face Upscale Production",
"version": "1.1.0",
"description": "Portrait-focused upscaling using RealESRGAN x2. Simplified workflow optimized for face enhancement. For advanced face detection with FaceDetailer, additional nodes are required.",
"category": "upscaling",
"tags": ["face-upscale", "portrait", "realesrgan", "production"],
"requirements": {
"models": ["RealESRGAN"],
"custom_nodes": [],
"vram_min": "8GB"
},
"parameters": {
"input_image": {
"node_id": 1,
"type": "image",
"required": true,
"description": "Portrait image to upscale"
},
"model": {
"node_id": 2,
"widget_index": 0,
"type": "string",
"default": "RealESRGAN_x2.pth",
"options": ["RealESRGAN_x2.pth", "RealESRGAN_x4.pth"],
"description": "Upscale model (x2 recommended for portraits)"
}
},
"performance": {
"avg_generation_time": "5-15 seconds",
"vram_usage": "~6-8GB"
},
"use_cases": [
"Portrait enhancement",
"Professional headshots",
"Face restoration",
"ID photo upscaling"
],
"notes": [
"This is a simplified version using basic upscaling",
"For advanced face detection, use FaceDetailer from Impact-Pack",
"FaceDetailer requires: BBOX detector, SDXL checkpoint, CLIP conditioning",
"Current version optimized for speed and simplicity"
]
}
},
"version": 0.4
}

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{
"last_node_id": 9,
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{
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"type": "UNETLoader",
"pos": [50, 100],
"size": [350, 100],
"flags": {},
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"mode": 0,
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},
"widgets_values": ["flux1-dev.safetensors", "default"],
"title": "FLUX Dev UNET Loader"
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{
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"type": "CLIP",
"links": [2],
"slot_index": 0
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"pos": [450, 100],
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"slot_index": 0
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],
"properties": {
"Node name for S&R": "CLIPTextEncodeFlux"
},
"widgets_values": [
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"A beautiful mountain landscape at sunset, highly detailed, professional photography, cinematic lighting, 8k ultra HD",
3.5
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"title": "API Positive Prompt"
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{
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"type": "ConditioningZeroOut",
"pos": [450, 400],
"size": [315, 60],
"flags": {},
"order": 3,
"mode": 0,
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"links": [9],
"slot_index": 0
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],
"properties": {
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"title": "Empty Negative Conditioning"
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{
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"links": [4],
"slot_index": 0
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"widgets_values": [1024, 1024, 1],
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{
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}
],
"outputs": [
{
"name": "LATENT",
"type": "LATENT",
"links": [5],
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}
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"properties": {
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"widgets_values": [42, "fixed", 20, 1.0, "euler", "normal", 1.0],
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},
{
"id": 6,
"type": "VAELoader",
"pos": [900, 600],
"size": [315, 60],
"flags": {},
"order": 6,
"mode": 0,
"outputs": [
{
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"type": "VAE",
"links": [6],
"slot_index": 0
}
],
"properties": {
"Node name for S&R": "VAELoader"
},
"widgets_values": ["ae.safetensors"],
"title": "FLUX VAE Loader"
},
{
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"type": "VAEDecode",
"pos": [1270, 100],
"size": [210, 46],
"flags": {},
"order": 7,
"mode": 0,
"inputs": [
{
"name": "samples",
"type": "LATENT",
"link": 5
},
{
"name": "vae",
"type": "VAE",
"link": 6
}
],
"outputs": [
{
"name": "IMAGE",
"type": "IMAGE",
"links": [7],
"slot_index": 0
}
],
"properties": {
"Node name for S&R": "VAEDecode"
},
"title": "VAE Decode"
},
{
"id": 8,
"type": "SaveImage",
"pos": [1530, 100],
"size": [400, 100],
"flags": {},
"order": 8,
"mode": 0,
"inputs": [
{
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"link": 7
}
],
"properties": {
"Node name for S&R": "SaveImage"
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"widgets_values": ["flux_dev_output"],
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[2, 2, 0, 3, 0, "CLIP"],
[3, 3, 0, 5, 1, "CONDITIONING"],
[4, 4, 0, 5, 3, "LATENT"],
[5, 5, 0, 7, 0, "LATENT"],
[6, 6, 0, 7, 1, "VAE"],
[7, 7, 0, 8, 0, "IMAGE"],
[8, 3, 0, 9, 0, "CONDITIONING"],
[9, 9, 0, 5, 2, "CONDITIONING"]
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"groups": [],
"config": {},
"extra": {
"workflow_info": {
"name": "FLUX Dev Text-to-Image Production",
"version": "1.2.0",
"description": "High-quality text-to-image generation using FLUX.1-dev (20-50 steps). Optimized for final production outputs with excellent detail and coherence.",
"category": "text-to-image",
"tags": ["flux", "dev", "high-quality", "production", "t2i"],
"requirements": {
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"custom_nodes": [],
"vram_min": "20GB",
"vram_recommended": "24GB"
},
"parameters": {
"prompt": {
"node_id": 3,
"widget_index": 0,
"type": "string",
"required": true,
"default": "A beautiful mountain landscape at sunset",
"description": "Text description of desired image"
},
"width": {
"node_id": 4,
"widget_index": 0,
"type": "integer",
"required": false,
"default": 1024,
"min": 512,
"max": 2048,
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"widget_index": 1,
"type": "integer",
"required": false,
"default": 1024,
"min": 512,
"max": 2048,
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"seed": {
"node_id": 5,
"widget_index": 0,
"type": "integer",
"required": false,
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"widget_index": 2,
"type": "integer",
"required": false,
"default": 20,
"min": 10,
"max": 50,
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},
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"type": "float",
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"min": 1.0,
"max": 10.0,
"description": "Guidance scale (3.5 recommended for FLUX)"
}
},
"outputs": {
"image": {
"node_id": 8,
"type": "image",
"format": "PNG",
"resolution": "1024x1024 (configurable)"
}
},
"performance": {
"avg_generation_time": "25-35 seconds (20 steps), 60-75 seconds (50 steps)",
"vram_usage": "~20-22GB",
"gpu_utilization": "95-100%"
},
"notes": [
"FLUX uses UNETLoader instead of CheckpointLoader",
"DualCLIPLoader loads both T5-XXL and CLIP-L text encoders",
"CLIPTextEncodeFlux is FLUX-specific text encoder",
"No negative prompt for FLUX - guidance is handled differently",
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]
}
},
"version": 0.4
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{
"last_node_id": 9,
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{
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"type": "UNETLoader",
"pos": [50, 100],
"size": [350, 100],
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"links": [1],
"slot_index": 0
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],
"properties": {
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},
"widgets_values": ["flux1-schnell.safetensors", "default"],
"title": "FLUX Schnell UNET Loader"
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{
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"pos": [50, 250],
"size": [350, 100],
"flags": {},
"order": 1,
"mode": 0,
"outputs": [
{
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"type": "CLIP",
"links": [2],
"slot_index": 0
}
],
"properties": {
"Node name for S&R": "DualCLIPLoader"
},
"widgets_values": ["t5xxl_fp16.safetensors", "clip_l.safetensors", "flux"],
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{
"id": 3,
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"pos": [450, 100],
"size": [400, 250],
"flags": {},
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],
"outputs": [
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"type": "CONDITIONING",
"links": [3, 8],
"slot_index": 0
}
],
"properties": {
"Node name for S&R": "CLIPTextEncodeFlux"
},
"widgets_values": [
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"A beautiful mountain landscape at sunset, highly detailed, cinematic lighting, 8k",
3.5
],
"title": "API Positive Prompt"
},
{
"id": 9,
"type": "ConditioningZeroOut",
"pos": [450, 400],
"size": [315, 60],
"flags": {},
"order": 3,
"mode": 0,
"inputs": [
{
"name": "conditioning",
"type": "CONDITIONING",
"link": 8
}
],
"outputs": [
{
"name": "CONDITIONING",
"type": "CONDITIONING",
"links": [9],
"slot_index": 0
}
],
"properties": {
"Node name for S&R": "ConditioningZeroOut"
},
"title": "Empty Negative Conditioning"
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{
"id": 4,
"type": "EmptyLatentImage",
"pos": [450, 500],
"size": [315, 106],
"flags": {},
"order": 4,
"mode": 0,
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"links": [4],
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{
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{
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"widgets_values": [42, "fixed", 4, 1.0, "euler", "normal", 1.0],
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{
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"type": "VAE",
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"widgets_values": ["ae.safetensors"],
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{
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{
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"type": "IMAGE",
"links": [7],
"slot_index": 0
}
],
"properties": {
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"title": "VAE Decode"
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{
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"size": [400, 100],
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"properties": {
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[2, 2, 0, 3, 0, "CLIP"],
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[4, 4, 0, 5, 3, "LATENT"],
[5, 5, 0, 7, 0, "LATENT"],
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"groups": [],
"config": {},
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{
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example_workflows/ipadapter-face-i2i-production-v1.json Normal file
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example_workflows/ipadapter-style-i2i-production-v1.json Normal file
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example_workflows/lustify-realistic-t2i-production-v1.json Normal file
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example_workflows/musicgen-large-t2m-production-v1.json Normal file
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],
"properties": {
"Node name for S&R": "AudioPlay"
},
"title": "API Audio Output"
}
],
"links": [
[1, 1, 0, 2, 0, "AUDIO"]
],
"groups": [],
"config": {},
"extra": {
"workflow_info": {
"name": "MusicGen Large Text-to-Music Production",
"version": "1.2.0",
"description": "High-quality music generation using MusicGen Large. Generates up to 30 seconds of music from text prompts.",
"category": "text-to-music",
"tags": ["musicgen", "large", "t2m", "audio", "production"],
"requirements": {
"models": ["facebook/musicgen-large"],
"custom_nodes": ["comfyui-sound-lab"],
"vram_min": "12GB",
"vram_recommended": "16GB"
},
"parameters": {
"prompt": {
"node_id": 1,
"widget_index": 0,
"type": "string",
"required": true,
"default": "Upbeat electronic dance music",
"description": "Text description of desired music style, genre, mood, instruments"
},
"duration": {
"node_id": 1,
"widget_index": 1,
"type": "float",
"required": false,
"default": 30.0,
"min": 1.0,
"max": 60.0,
"description": "Duration in seconds (up to 30s recommended for best quality)"
},
"guidance_scale": {
"node_id": 1,
"widget_index": 2,
"type": "float",
"required": false,
"default": 4.0,
"min": 0.0,
"max": 20.0,
"description": "How closely to follow the prompt (4.0 recommended)"
},
"seed": {
"node_id": 1,
"widget_index": 3,
"type": "integer",
"required": false,
"default": 42,
"min": 0,
"max": 2147483647,
"description": "Random seed for reproducibility"
},
"device": {
"node_id": 1,
"widget_index": 4,
"type": "string",
"required": false,
"default": "auto",
"options": ["auto", "cpu"],
"description": "Computation device (auto recommended)"
}
},
"outputs": {
"audio": {
"node_id": 2,
"type": "audio",
"format": "FLAC",
"sample_rate": "32000 Hz",
"channels": "stereo"
}
},
"performance": {
"avg_generation_time": "60-90 seconds for 30s audio",
"vram_usage": "~14-16GB",
"gpu_utilization": "90-100%"
},
"use_cases": [
"Background music generation",
"Game soundtrack creation",
"Video background music",
"Music prototyping and ideation"
],
"notes": [
"MusicGen Large produces highest quality output",
"Best results with clear, specific prompts",
"Can specify genre, mood, instruments, tempo",
"Output is 32kHz stereo FLAC format",
"Longer durations (>30s) may reduce coherence"
]
}
},
"version": 0.4
}

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{
"last_node_id": 2,
"last_link_id": 1,
"nodes": [
{
"id": 1,
"type": "Musicgen_",
"pos": [50, 100],
"size": [400, 300],
"flags": {},
"order": 0,
"mode": 0,
"outputs": [
{
"name": "audio",
"type": "AUDIO",
"links": [1],
"slot_index": 0
}
],
"properties": {
"Node name for S&R": "Musicgen_"
},
"widgets_values": [
"Upbeat electronic dance music with energetic beats and synthesizer melodies",
30.0,
3.0,
42,
"auto"
],
"title": "MusicGen Medium Generator"
},
{
"id": 2,
"type": "AudioPlay",
"pos": [500, 100],
"size": [315, 100],
"flags": {},
"order": 1,
"mode": 0,
"inputs": [
{
"name": "audio",
"type": "AUDIO",
"link": 1
}
],
"properties": {
"Node name for S&R": "AudioPlay"
},
"title": "API Audio Output"
}
],
"links": [
[1, 1, 0, 2, 0, "AUDIO"]
],
"groups": [],
"config": {},
"extra": {
"workflow_info": {
"name": "MusicGen Medium Text-to-Music Production",
"version": "1.2.0",
"description": "Balanced music generation using MusicGen Medium. Good quality with moderate VRAM usage.",
"category": "text-to-music",
"tags": ["musicgen", "medium", "t2m", "audio", "production"],
"requirements": {
"models": ["facebook/musicgen-medium"],
"custom_nodes": ["comfyui-sound-lab"],
"vram_min": "8GB",
"vram_recommended": "10GB"
},
"parameters": {
"prompt": {
"node_id": 1,
"widget_index": 0,
"type": "string",
"required": true,
"default": "Upbeat electronic dance music",
"description": "Text description of desired music style, genre, mood, instruments"
},
"duration": {
"node_id": 1,
"widget_index": 1,
"type": "float",
"required": false,
"default": 30.0,
"min": 1.0,
"max": 60.0,
"description": "Duration in seconds (up to 30s recommended for best quality)"
},
"guidance_scale": {
"node_id": 1,
"widget_index": 2,
"type": "float",
"required": false,
"default": 3.0,
"min": 0.0,
"max": 20.0,
"description": "How closely to follow the prompt (3.0 recommended)"
},
"seed": {
"node_id": 1,
"widget_index": 3,
"type": "integer",
"required": false,
"default": 42,
"min": 0,
"max": 2147483647,
"description": "Random seed for reproducibility"
},
"device": {
"node_id": 1,
"widget_index": 4,
"type": "string",
"required": false,
"default": "auto",
"options": ["auto", "cpu"],
"description": "Computation device (auto recommended)"
}
},
"outputs": {
"audio": {
"node_id": 2,
"type": "audio",
"format": "FLAC",
"sample_rate": "32000 Hz",
"channels": "stereo"
}
},
"performance": {
"avg_generation_time": "30-50 seconds for 30s audio",
"vram_usage": "~8-10GB",
"gpu_utilization": "90-100%"
},
"use_cases": [
"Background music generation",
"Game soundtrack creation",
"Video background music",
"Music prototyping with moderate quality"
],
"notes": [
"MusicGen Medium balances quality and resource usage",
"Faster than Large, better quality than Small",
"Best results with clear, specific prompts",
"Can specify genre, mood, instruments, tempo",
"Output is 32kHz stereo FLAC format"
]
}
},
"version": 0.4
}

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{
"last_node_id": 2,
"last_link_id": 1,
"nodes": [
{
"id": 1,
"type": "Musicgen_",
"pos": [50, 100],
"size": [400, 300],
"flags": {},
"order": 0,
"mode": 0,
"outputs": [
{
"name": "audio",
"type": "AUDIO",
"links": [1],
"slot_index": 0
}
],
"properties": {
"Node name for S&R": "Musicgen_"
},
"widgets_values": [
"Electronic music with melodic elements and catchy hooks",
30.0,
3.5,
42,
"auto"
],
"title": "MusicGen Melody Generator"
},
{
"id": 2,
"type": "AudioPlay",
"pos": [500, 100],
"size": [315, 100],
"flags": {},
"order": 1,
"mode": 0,
"inputs": [
{
"name": "audio",
"type": "AUDIO",
"link": 1
}
],
"properties": {
"Node name for S&R": "AudioPlay"
},
"title": "API Audio Output"
}
],
"links": [
[1, 1, 0, 2, 0, "AUDIO"]
],
"groups": [],
"config": {},
"extra": {
"workflow_info": {
"name": "MusicGen Melody Text-to-Music Production",
"version": "1.2.0",
"description": "Music generation using MusicGen with melodic focus. Note: Melody conditioning via audio input not yet supported.",
"category": "text-to-music",
"tags": ["musicgen", "melody", "t2m", "audio", "production"],
"requirements": {
"models": ["facebook/musicgen-melody"],
"custom_nodes": ["comfyui-sound-lab"],
"vram_min": "10GB",
"vram_recommended": "12GB"
},
"parameters": {
"prompt": {
"node_id": 1,
"widget_index": 0,
"type": "string",
"required": true,
"default": "Electronic music with melodic elements",
"description": "Text description of desired music style, genre, mood, instruments"
},
"duration": {
"node_id": 1,
"widget_index": 1,
"type": "float",
"required": false,
"default": 30.0,
"min": 1.0,
"max": 60.0,
"description": "Duration in seconds (up to 30s recommended for best quality)"
},
"guidance_scale": {
"node_id": 1,
"widget_index": 2,
"type": "float",
"required": false,
"default": 3.5,
"min": 0.0,
"max": 20.0,
"description": "How closely to follow the prompt (3.5 recommended)"
},
"seed": {
"node_id": 1,
"widget_index": 3,
"type": "integer",
"required": false,
"default": 42,
"min": 0,
"max": 2147483647,
"description": "Random seed for reproducibility"
},
"device": {
"node_id": 1,
"widget_index": 4,
"type": "string",
"required": false,
"default": "auto",
"options": ["auto", "cpu"],
"description": "Computation device (auto recommended)"
}
},
"outputs": {
"audio": {
"node_id": 2,
"type": "audio",
"format": "FLAC",
"sample_rate": "32000 Hz",
"channels": "stereo"
}
},
"performance": {
"avg_generation_time": "40-60 seconds for 30s audio",
"vram_usage": "~10-12GB",
"gpu_utilization": "90-100%"
},
"use_cases": [
"Melodic music generation",
"Creating catchy hooks and melodies",
"Music with strong melodic structure"
],
"notes": [
"IMPORTANT: Melody conditioning via audio input not yet supported in current Sound Lab implementation",
"This workflow uses text prompts only - describe melodic characteristics in the prompt",
"For best melodic results, use descriptive terms like 'catchy melody', 'melodic hooks', 'harmonic progression'",
"MusicGen Melody model trained for melodic content",
"Output is 32kHz stereo FLAC format"
]
}
},
"version": 0.4
}

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{
"last_node_id": 2,
"last_link_id": 1,
"nodes": [
{
"id": 1,
"type": "Musicgen_",
"pos": [50, 100],
"size": [400, 300],
"flags": {},
"order": 0,
"mode": 0,
"outputs": [
{
"name": "audio",
"type": "AUDIO",
"links": [1],
"slot_index": 0
}
],
"properties": {
"Node name for S&R": "Musicgen_"
},
"widgets_values": [
"Upbeat electronic dance music with energetic beats and synthesizer melodies",
30.0,
3.0,
42,
"auto"
],
"title": "MusicGen Small Generator"
},
{
"id": 2,
"type": "AudioPlay",
"pos": [500, 100],
"size": [315, 100],
"flags": {},
"order": 1,
"mode": 0,
"inputs": [
{
"name": "audio",
"type": "AUDIO",
"link": 1
}
],
"properties": {
"Node name for S&R": "AudioPlay"
},
"title": "API Audio Output"
}
],
"links": [
[1, 1, 0, 2, 0, "AUDIO"]
],
"groups": [],
"config": {},
"extra": {
"workflow_info": {
"name": "MusicGen Small Text-to-Music Production",
"version": "1.2.0",
"description": "Fast music generation using MusicGen Small. Lower quality but fastest generation and minimal VRAM.",
"category": "text-to-music",
"tags": ["musicgen", "small", "t2m", "audio", "production", "fast"],
"requirements": {
"models": ["facebook/musicgen-small"],
"custom_nodes": ["comfyui-sound-lab"],
"vram_min": "4GB",
"vram_recommended": "6GB"
},
"parameters": {
"prompt": {
"node_id": 1,
"widget_index": 0,
"type": "string",
"required": true,
"default": "Upbeat electronic dance music",
"description": "Text description of desired music style, genre, mood, instruments"
},
"duration": {
"node_id": 1,
"widget_index": 1,
"type": "float",
"required": false,
"default": 30.0,
"min": 1.0,
"max": 60.0,
"description": "Duration in seconds (up to 30s recommended for best quality)"
},
"guidance_scale": {
"node_id": 1,
"widget_index": 2,
"type": "float",
"required": false,
"default": 3.0,
"min": 0.0,
"max": 20.0,
"description": "How closely to follow the prompt (3.0 recommended)"
},
"seed": {
"node_id": 1,
"widget_index": 3,
"type": "integer",
"required": false,
"default": 42,
"min": 0,
"max": 2147483647,
"description": "Random seed for reproducibility"
},
"device": {
"node_id": 1,
"widget_index": 4,
"type": "string",
"required": false,
"default": "auto",
"options": ["auto", "cpu"],
"description": "Computation device (auto recommended)"
}
},
"outputs": {
"audio": {
"node_id": 2,
"type": "audio",
"format": "FLAC",
"sample_rate": "32000 Hz",
"channels": "stereo"
}
},
"performance": {
"avg_generation_time": "20-35 seconds for 30s audio",
"vram_usage": "~4-6GB",
"gpu_utilization": "85-95%"
},
"use_cases": [
"Rapid prototyping",
"Low-resource environments",
"Quick background music drafts",
"Testing different prompts quickly"
],
"notes": [
"MusicGen Small is fastest but lowest quality",
"Good for rapid iteration and testing",
"Best results with clear, specific prompts",
"Can specify genre, mood, instruments, tempo",
"Output is 32kHz stereo FLAC format"
]
}
},
"version": 0.4
}

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{
"last_node_id": 8,
"last_link_id": 10,
"nodes": [
{
"id": 1,
"type": "LoadImage",
"pos": [50, 100],
"size": [350, 100],
"flags": {},
"order": 0,
"mode": 0,
"outputs": [
{
"name": "IMAGE",
"type": "IMAGE",
"links": [1],
"slot_index": 0
},
{
"name": "MASK",
"type": "MASK",
"links": null,
"slot_index": 1
}
],
"properties": {
"Node name for S&R": "LoadImage"
},
"widgets_values": ["input_image.png", "image"],
"title": "API Input Image"
},
{
"id": 2,
"type": "CheckpointLoaderSimple",
"pos": [50, 250],
"size": [350, 100],
"flags": {},
"order": 1,
"mode": 0,
"outputs": [
{
"name": "MODEL",
"type": "MODEL",
"links": [2],
"slot_index": 0
},
{
"name": "CLIP",
"type": "CLIP",
"links": [3, 4],
"slot_index": 1
},
{
"name": "VAE",
"type": "VAE",
"links": [5],
"slot_index": 2
}
],
"properties": {
"Node name for S&R": "CheckpointLoaderSimple"
},
"widgets_values": ["lustifySDXLNSFW_endgame.safetensors"],
"title": "LUSTIFY v7.0 GGWP Checkpoint"
},
{
"id": 3,
"type": "CLIPTextEncode",
"pos": [450, 100],
"size": [400, 200],
"flags": {},
"order": 2,
"mode": 0,
"inputs": [
{
"name": "clip",
"type": "CLIP",
"link": 3
}
],
"outputs": [
{
"name": "CONDITIONING",
"type": "CONDITIONING",
"links": [6],
"slot_index": 0
}
],
"properties": {
"Node name for S&R": "CLIPTextEncode"
},
"widgets_values": ["photorealistic, professional photography, high quality, detailed skin texture, natural lighting, 8k, masterpiece, best quality, sharp details"],
"title": "API Positive Prompt (Enhancement)"
},
{
"id": 4,
"type": "CLIPTextEncode",
"pos": [450, 350],
"size": [400, 200],
"flags": {},
"order": 3,
"mode": 0,
"inputs": [
{
"name": "clip",
"type": "CLIP",
"link": 4
}
],
"outputs": [
{
"name": "CONDITIONING",
"type": "CONDITIONING",
"links": [7],
"slot_index": 0
}
],
"properties": {
"Node name for S&R": "CLIPTextEncode"
},
"widgets_values": ["(worst quality, low quality:1.4), blurry, pixelated, jpeg artifacts, bad anatomy, deformed, watermark, text"],
"title": "API Negative Prompt (Refinement)"
},
{
"id": 8,
"type": "UpscaleModelLoader",
"pos": [50, 400],
"size": [350, 100],
"flags": {},
"order": 4,
"mode": 0,
"outputs": [
{
"name": "UPSCALE_MODEL",
"type": "UPSCALE_MODEL",
"links": [10],
"slot_index": 0
}
],
"properties": {
"Node name for S&R": "UpscaleModelLoader"
},
"widgets_values": ["RealESRGAN_x2.pth"],
"title": "Upscale Model Loader (2x)"
},
{
"id": 5,
"type": "UltimateSDUpscale",
"pos": [900, 100],
"size": [315, 100],
"flags": {},
"order": 5,
"mode": 0,
"inputs": [
{
"name": "image",
"type": "IMAGE",
"link": 1
},
{
"name": "model",
"type": "MODEL",
"link": 2
},
{
"name": "positive",
"type": "CONDITIONING",
"link": 6
},
{
"name": "negative",
"type": "CONDITIONING",
"link": 7
},
{
"name": "vae",
"type": "VAE",
"link": 5
},
{
"name": "upscale_model",
"type": "UPSCALE_MODEL",
"link": 10
}
],
"outputs": [
{
"name": "IMAGE",
"type": "IMAGE",
"links": [8, 9],
"slot_index": 0
}
],
"properties": {
"Node name for S&R": "UltimateSDUpscale"
},
"widgets_values": [2, 42, "randomize", 20, 7.0, "dpmpp_2m_sde", "exponential", 0.25, "Linear", 512, 512, 8, 32, "None", 1.0, 64, 8, 16, true, false],
"title": "Ultimate SD Upscale NSFW (2x)"
},
{
"id": 6,
"type": "PreviewImage",
"pos": [1270, 100],
"size": [315, 100],
"flags": {},
"order": 6,
"mode": 0,
"inputs": [
{
"name": "images",
"type": "IMAGE",
"link": 8
}
],
"properties": {
"Node name for S&R": "PreviewImage"
},
"title": "Preview Output"
},
{
"id": 7,
"type": "SaveImage",
"pos": [1270, 400],
"size": [315, 100],
"flags": {},
"order": 7,
"mode": 0,
"inputs": [
{
"name": "images",
"type": "IMAGE",
"link": 9
}
],
"properties": {
"Node name for S&R": "SaveImage"
},
"widgets_values": ["nsfw_upscale_output"],
"title": "API Image Output"
}
],
"links": [
[1, 1, 0, 5, 0, "IMAGE"],
[2, 2, 0, 5, 1, "MODEL"],
[3, 2, 1, 3, 0, "CLIP"],
[4, 2, 1, 4, 0, "CLIP"],
[5, 2, 2, 5, 4, "VAE"],
[6, 3, 0, 5, 2, "CONDITIONING"],
[7, 4, 0, 5, 3, "CONDITIONING"],
[8, 5, 0, 6, 0, "IMAGE"],
[9, 5, 0, 7, 0, "IMAGE"],
[10, 8, 0, 5, 5, "UPSCALE_MODEL"]
],
"groups": [],
"config": {},
"extra": {
"workflow_info": {
"name": "NSFW Ultimate SD Upscale Production",
"version": "1.0",
"description": "Professional 2x upscaling for NSFW images using Ultimate SD Upscale with LUSTIFY checkpoint. Combines RealESRGAN upscaling with diffusion refinement for superior detail, skin texture, and photorealistic quality in adult content.",
"category": "nsfw",
"model": "lustifySDXLNSFW_endgame.safetensors",
"recommended_settings": {
"upscale_factor": "2x (use RealESRGAN_x2.pth)",
"denoise": "0.2-0.3 (lower preserves original, higher adds detail)",
"sampler": "dpmpp_2m_sde",
"scheduler": "exponential",
"steps": 20,
"cfg_scale": "6.0-8.0",
"tile_size": "512x512 (optimal for SDXL)"
},
"features": [
"2x upscaling with RealESRGAN + diffusion refinement",
"LUSTIFY checkpoint for photorealistic NSFW enhancement",
"Tiled processing for handling large images",
"Optimized for detailed skin texture and natural lighting",
"Low denoise (0.25) preserves original composition",
"Can swap checkpoint for different styles (Pony, RealVisXL)"
],
"tags": ["nsfw", "upscaling", "ultimate-sd-upscale", "lustify", "enhancement", "production"],
"requirements": {
"models": ["lustifySDXLNSFW_endgame.safetensors", "RealESRGAN_x2.pth"],
"custom_nodes": ["ComfyUI_UltimateSDUpscale"],
"vram_min": "18GB"
},
"usage_notes": {
"checkpoint_swap": "Change node 2 to use different NSFW models (pony, realvisxl, etc.)",
"denoise_tuning": "0.2 = subtle enhancement, 0.3 = moderate refinement, 0.4+ = creative upscaling",
"prompt_matching": "Match enhancement prompt to original generation prompt for best results",
"tile_overlap": "8px overlap prevents visible seams in large upscales"
},
"performance": {
"avg_generation_time": "90-150 seconds (1024x1024 -> 2048x2048)",
"vram_usage": "~20-22GB (LUSTIFY + tiled processing)"
}
}
},
"version": 0.4
}

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{
"last_node_id": 11,
"last_link_id": 16,
"nodes": [
{
"id": 1,
"type": "CheckpointLoaderSimple",
"pos": [50, 100],
"size": {"0": 380, "1": 100},
"flags": {},
"order": 0,
"mode": 0,
"outputs": [
{
"name": "MODEL",
"type": "MODEL",
"links": [1],
"slot_index": 0
},
{
"name": "CLIP",
"type": "CLIP",
"links": [2, 3],
"slot_index": 1
},
{
"name": "VAE",
"type": "VAE",
"links": [4],
"slot_index": 2
}
],
"properties": {
"Node name for S&R": "CheckpointLoaderSimple"
},
"widgets_values": ["ponyDiffusionV6XL_v6StartWithThisOne.safetensors"],
"title": "Pony Diffusion V6 XL Checkpoint (Anime/Furry)"
},
{
"id": 2,
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{
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example_workflows/sdxl-refiner-t2i-production-v1.json Normal file
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{
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{
"id": 4,
"type": "CLIPTextEncode",
"pos": [450, 350],
"size": {"0": 400, "1": 200},
"flags": {},
"order": 3,
"mode": 0,
"inputs": [
{
"name": "clip",
"type": "CLIP",
"link": 3
}
],
"outputs": [
{
"name": "CONDITIONING",
"type": "CONDITIONING",
"links": [6],
"slot_index": 0
}
],
"properties": {
"Node name for S&R": "CLIPTextEncode"
},
"widgets_values": ["blurry, low quality, distorted, watermark, text, signature, bad anatomy, deformed"],
"title": "API Negative Prompt (Base)"
},
{
"id": 5,
"type": "CLIPTextEncode",
"pos": [450, 600],
"size": {"0": 400, "1": 200},
"flags": {},
"order": 4,
"mode": 0,
"inputs": [
{
"name": "clip",
"type": "CLIP",
"link": 12
}
],
"outputs": [
{
"name": "CONDITIONING",
"type": "CONDITIONING",
"links": [15],
"slot_index": 0
}
],
"properties": {
"Node name for S&R": "CLIPTextEncode"
},
"widgets_values": ["A beautiful mountain landscape at sunset, highly detailed, professional photography, cinematic lighting, 8k ultra HD, masterpiece"],
"title": "API Positive Prompt (Refiner)"
},
{
"id": 6,
"type": "CLIPTextEncode",
"pos": [450, 850],
"size": {"0": 400, "1": 200},
"flags": {},
"order": 5,
"mode": 0,
"inputs": [
{
"name": "clip",
"type": "CLIP",
"link": 13
}
],
"outputs": [
{
"name": "CONDITIONING",
"type": "CONDITIONING",
"links": [16],
"slot_index": 0
}
],
"properties": {
"Node name for S&R": "CLIPTextEncode"
},
"widgets_values": ["blurry, low quality, distorted, watermark, text, signature, bad anatomy, deformed"],
"title": "API Negative Prompt (Refiner)"
},
{
"id": 7,
"type": "EmptyLatentImage",
"pos": [900, 600],
"size": {"0": 315, "1": 106},
"flags": {},
"order": 6,
"mode": 0,
"outputs": [
{
"name": "LATENT",
"type": "LATENT",
"links": [7],
"slot_index": 0
}
],
"properties": {
"Node name for S&R": "EmptyLatentImage"
},
"widgets_values": [1024, 1024, 1],
"title": "API Latent Image Config"
},
{
"id": 8,
"type": "KSampler",
"pos": [900, 100],
"size": {"0": 315, "1": 474},
"flags": {},
"order": 7,
"mode": 0,
"inputs": [
{
"name": "model",
"type": "MODEL",
"link": 1
},
{
"name": "positive",
"type": "CONDITIONING",
"link": 5
},
{
"name": "negative",
"type": "CONDITIONING",
"link": 6
},
{
"name": "latent_image",
"type": "LATENT",
"link": 7
}
],
"outputs": [
{
"name": "LATENT",
"type": "LATENT",
"links": [8, 17],
"slot_index": 0
}
],
"properties": {
"Node name for S&R": "KSampler"
},
"widgets_values": [
42,
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30,
7.5,
"dpmpp_2m",
"karras",
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],
"title": "SDXL Base Sampler (30 steps)"
},
{
"id": 9,
"type": "VAEDecode",
"pos": [1270, 100],
"size": {"0": 210, "1": 46},
"flags": {},
"order": 8,
"mode": 0,
"inputs": [
{
"name": "samples",
"type": "LATENT",
"link": 8
},
{
"name": "vae",
"type": "VAE",
"link": 4
}
],
"outputs": [
{
"name": "IMAGE",
"type": "IMAGE",
"links": [9],
"slot_index": 0
}
],
"properties": {
"Node name for S&R": "VAEDecode"
},
"title": "VAE Decode (Base)"
},
{
"id": 10,
"type": "PreviewImage",
"pos": [1530, 100],
"size": {"0": 400, "1": 400},
"flags": {},
"order": 9,
"mode": 0,
"inputs": [
{
"name": "images",
"type": "IMAGE",
"link": 9
}
],
"properties": {
"Node name for S&R": "PreviewImage"
},
"title": "Preview Base Output"
},
{
"id": 11,
"type": "KSampler",
"pos": [1270, 600],
"size": {"0": 315, "1": 474},
"flags": {},
"order": 10,
"mode": 0,
"inputs": [
{
"name": "model",
"type": "MODEL",
"link": 11
},
{
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"link": 15
},
{
"name": "negative",
"type": "CONDITIONING",
"link": 16
},
{
"name": "latent_image",
"type": "LATENT",
"link": 17
}
],
"outputs": [
{
"name": "LATENT",
"type": "LATENT",
"links": [18],
"slot_index": 0
}
],
"properties": {
"Node name for S&R": "KSampler"
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42,
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20,
7.5,
"dpmpp_2m",
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],
"title": "SDXL Refiner Sampler (20 steps)"
},
{
"id": 12,
"type": "VAEDecode",
"pos": [1640, 600],
"size": {"0": 210, "1": 46},
"flags": {},
"order": 11,
"mode": 0,
"inputs": [
{
"name": "samples",
"type": "LATENT",
"link": 18
},
{
"name": "vae",
"type": "VAE",
"link": 14
}
],
"outputs": [
{
"name": "IMAGE",
"type": "IMAGE",
"links": [19, 20],
"slot_index": 0
}
],
"properties": {
"Node name for S&R": "VAEDecode"
},
"title": "VAE Decode (Refiner)"
},
{
"id": 13,
"type": "PreviewImage",
"pos": [1900, 600],
"size": {"0": 400, "1": 400},
"flags": {},
"order": 12,
"mode": 0,
"inputs": [
{
"name": "images",
"type": "IMAGE",
"link": 19
}
],
"properties": {
"Node name for S&R": "PreviewImage"
},
"title": "Preview Refined Output"
},
{
"id": 14,
"type": "SaveImage",
"pos": [1900, 1050],
"size": {"0": 400, "1": 100},
"flags": {},
"order": 13,
"mode": 0,
"inputs": [
{
"name": "images",
"type": "IMAGE",
"link": 20
}
],
"properties": {
"Node name for S&R": "SaveImage"
},
"widgets_values": ["sdxl_refined_output"],
"title": "API Image Output"
}
],
"links": [
[1, 1, 0, 8, 0, "MODEL"],
[2, 1, 1, 3, 0, "CLIP"],
[3, 1, 1, 4, 0, "CLIP"],
[4, 1, 2, 9, 1, "VAE"],
[5, 3, 0, 8, 1, "CONDITIONING"],
[6, 4, 0, 8, 2, "CONDITIONING"],
[7, 7, 0, 8, 3, "LATENT"],
[8, 8, 0, 9, 0, "LATENT"],
[9, 9, 0, 10, 0, "IMAGE"],
[11, 2, 0, 11, 0, "MODEL"],
[12, 2, 1, 5, 0, "CLIP"],
[13, 2, 1, 6, 0, "CLIP"],
[14, 2, 2, 12, 1, "VAE"],
[15, 5, 0, 11, 1, "CONDITIONING"],
[16, 6, 0, 11, 2, "CONDITIONING"],
[17, 8, 0, 11, 3, "LATENT"],
[18, 11, 0, 12, 0, "LATENT"],
[19, 12, 0, 13, 0, "IMAGE"],
[20, 12, 0, 14, 0, "IMAGE"]
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"groups": [],
"config": {},
"extra": {
"workflow_info": {
"name": "SDXL with Refiner Text-to-Image Production",
"version": "1.0.0",
"author": "RunPod AI Model Orchestrator",
"description": "Two-stage text-to-image generation using SDXL Base (30 steps) + Refiner (20 steps). Produces highly detailed, refined outputs with excellent coherence.",
"category": "text-to-image",
"tags": ["sdxl", "refiner", "two-stage", "high-quality", "production", "t2i"],
"requirements": {
"models": ["stable-diffusion-xl-base-1.0", "stable-diffusion-xl-refiner-1.0"],
"custom_nodes": [],
"vram_min": "20GB",
"vram_recommended": "24GB"
},
"parameters": {
"prompt": {
"node_id": [3, 5],
"widget_index": 0,
"type": "string",
"required": true,
"default": "A beautiful mountain landscape at sunset",
"description": "Text description of desired image (used for both base and refiner)"
},
"negative_prompt": {
"node_id": [4, 6],
"widget_index": 0,
"type": "string",
"required": false,
"default": "blurry, low quality",
"description": "Undesired elements to avoid (used for both base and refiner)"
},
"width": {
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"widget_index": 0,
"type": "integer",
"required": false,
"default": 1024,
"min": 512,
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"widget_index": 1,
"type": "integer",
"required": false,
"default": 1024,
"min": 512,
"max": 2048,
"description": "Image height in pixels"
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"seed": {
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"type": "integer",
"required": false,
"default": 42,
"min": 0,
"max": 4294967295,
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"widget_index": 2,
"type": "integer",
"required": false,
"default": 30,
"min": 20,
"max": 50,
"description": "Number of sampling steps for base model"
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"widget_index": 2,
"type": "integer",
"required": false,
"default": 20,
"min": 10,
"max": 30,
"description": "Number of sampling steps for refiner model"
},
"cfg": {
"node_id": [8, 11],
"widget_index": 3,
"type": "float",
"required": false,
"default": 7.5,
"min": 1.0,
"max": 15.0,
"description": "Classifier-free guidance scale (7.5 recommended for SDXL)"
}
},
"outputs": {
"base_image": {
"node_id": 10,
"type": "preview",
"description": "Base model output (before refinement)"
},
"refined_image": {
"node_id": 14,
"type": "image",
"format": "PNG",
"resolution": "1024x1024 (configurable)",
"description": "Final refined output"
}
},
"performance": {
"avg_generation_time": "40-60 seconds (30+20 steps)",
"vram_usage": "~18-20GB",
"gpu_utilization": "95-100%",
"notes": "Base and refiner run sequentially to manage VRAM"
}
}
},
"version": 0.4
}

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{
"last_node_id": 6,
"last_link_id": 5,
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{
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"type": "LoadImage",
"pos": [50, 100],
"size": [350, 100],
"flags": {},
"order": 0,
"mode": 0,
"outputs": [
{
"name": "IMAGE",
"type": "IMAGE",
"links": [1],
"slot_index": 0
},
{
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"links": null,
"slot_index": 1
}
],
"properties": {
"Node name for S&R": "LoadImage"
},
"widgets_values": ["input_image.png", "image"],
"title": "API Input Image"
},
{
"id": 2,
"type": "UpscaleModelLoader",
"pos": [50, 400],
"size": [350, 100],
"flags": {},
"order": 1,
"mode": 0,
"outputs": [
{
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"type": "UPSCALE_MODEL",
"links": [2],
"slot_index": 0
}
],
"properties": {
"Node name for S&R": "UpscaleModelLoader"
},
"widgets_values": ["RealESRGAN_x4.pth"],
"title": "Upscale Model Loader"
},
{
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"pos": [450, 100],
"size": [315, 100],
"flags": {},
"order": 2,
"mode": 0,
"inputs": [
{
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},
{
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"link": 1
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],
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{
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"links": [3],
"slot_index": 0
}
],
"properties": {
"Node name for S&R": "ImageUpscaleWithModel"
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"title": "Upscale with Model (4x)"
},
{
"id": 4,
"type": "ImageScaleBy",
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"size": [315, 100],
"flags": {},
"order": 3,
"mode": 0,
"inputs": [
{
"name": "image",
"type": "IMAGE",
"link": 3
}
],
"outputs": [
{
"name": "IMAGE",
"type": "IMAGE",
"links": [4, 5],
"slot_index": 0
}
],
"properties": {
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},
"widgets_values": ["lanczos", 0.5],
"title": "Optional Downscale to 2x"
},
{
"id": 5,
"type": "PreviewImage",
"pos": [1150, 100],
"size": [315, 100],
"flags": {},
"order": 4,
"mode": 0,
"inputs": [
{
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}
],
"properties": {
"Node name for S&R": "PreviewImage"
},
"title": "Preview Output"
},
{
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"link": 5
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}
],
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[5, 4, 0, 6, 0, "IMAGE"]
],
"groups": [],
"config": {},
"extra": {
"workflow_info": {
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"category": "upscaling",
"tags": ["simple-upscale", "fast", "realesrgan", "production"],
"requirements": {
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"custom_nodes": [],
"vram_min": "8GB"
},
"parameters": {
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},
"model": {
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"type": "string",
"default": "RealESRGAN_x4.pth",
"options": ["RealESRGAN_x2.pth", "RealESRGAN_x4.pth"]
},
"final_scale": {
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"widget_index": 1,
"type": "float",
"default": 0.5,
"description": "Scale factor after 4x upscale (0.5 = final 2x, 1.0 = keep 4x)"
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},
"performance": {
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"vram_usage": "~6-8GB"
}
}
},
"version": 0.4
}

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{
"last_node_id": 7,
"last_link_id": 10,
"nodes": [
{
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"type": "LoadImage",
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"widgets_values": ["input_frame.png", "image"],
"title": "API Input Image",
"flags": {},
"order": 0,
"mode": 0,
"properties": {
"Node name for S&R": "LoadImage"
},
"outputs": [
{
"name": "IMAGE",
"type": "IMAGE",
"links": [1],
"slot_index": 0
},
{
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"links": null
}
]
},
{
"id": 2,
"type": "ImageOnlyCheckpointLoader",
"pos": [50, 500],
"size": [350, 100],
"widgets_values": ["svd_xt.safetensors"],
"title": "SVD-XT Model Loader",
"flags": {},
"order": 1,
"mode": 0,
"properties": {
"Node name for S&R": "ImageOnlyCheckpointLoader"
},
"outputs": [
{
"name": "MODEL",
"type": "MODEL",
"links": [2],
"slot_index": 0
},
{
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"type": "CLIP_VISION",
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{
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}
]
},
{
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"pos": [450, 500],
"size": [315, 100],
"widgets_values": [1.0],
"title": "Linear CFG Guidance",
"flags": {},
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"inputs": [
{
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{
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}
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{
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"pos": [450, 100],
"size": [315, 350],
"widgets_values": [1024, 576, 14, 127, 6, 0.0],
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"flags": {},
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"mode": 0,
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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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}
],
"outputs": [
{
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"links": [10],
"slot_index": 0
}
]
},
{
"id": 6,
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"size": [210, 46],
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"title": "VAE Decode Video Frames",
"flags": {},
"order": 5,
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},
{
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}
],
"outputs": [
{
"name": "IMAGE",
"type": "IMAGE",
"links": [11],
"slot_index": 0
}
]
},
{
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"type": "VHS_VideoCombine",
"pos": [1400, 100],
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"widgets_values": [6, 0, "svd_output", "video/h264-mp4", false, true],
"title": "Combine Video Frames",
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},
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],
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}
]
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],
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[4, 2, 2, 4, 2, "VAE"],
[5, 2, 2, 6, 1, "VAE"],
[6, 3, 0, 5, 0, "MODEL"],
[7, 4, 0, 5, 1, "CONDITIONING"],
[8, 4, 1, 5, 2, "CONDITIONING"],
[9, 4, 2, 5, 3, "LATENT"],
[10, 5, 0, 6, 0, "LATENT"],
[11, 6, 0, 7, 0, "IMAGE"]
],
"groups": [],
"config": {},
"extra": {
"workflow_info": {
"name": "Stable Video Diffusion Image-to-Video Production",
"version": "1.2.0",
"description": "Quick animation using SVD-XT. Generate 14-frame video from single image with motion and camera movement.",
"category": "image-to-video",
"tags": ["svd", "svd-xt", "stable-video-diffusion", "i2v", "animation", "production"],
"requirements": {
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"custom_nodes": ["ComfyUI-VideoHelperSuite"],
"vram_min": "16GB",
"vram_recommended": "20GB"
},
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"widget_index": 0,
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"required": true,
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},
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"min": 16,
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},
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"min": 1,
"max": 4096,
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},
"motion_bucket_id": {
"node_id": 4,
"widget_index": 3,
"type": "integer",
"required": false,
"default": 127,
"min": 1,
"max": 1023,
"description": "Motion amount (higher = more motion)"
},
"fps": {
"node_id": 4,
"widget_index": 4,
"type": "integer",
"required": false,
"default": 6,
"min": 1,
"max": 1024,
"description": "Frames per second for conditioning"
},
"augmentation_level": {
"node_id": 4,
"widget_index": 5,
"type": "float",
"required": false,
"default": 0.0,
"min": 0.0,
"max": 10.0,
"description": "Noise augmentation level"
},
"steps": {
"node_id": 5,
"widget_index": 2,
"type": "integer",
"required": false,
"default": 25,
"min": 1,
"max": 150,
"description": "Sampling steps (25 recommended)"
},
"cfg": {
"node_id": 5,
"widget_index": 3,
"type": "float",
"required": false,
"default": 6.0,
"min": 0.0,
"max": 30.0,
"description": "Classifier-free guidance scale"
},
"seed": {
"node_id": 5,
"widget_index": 0,
"type": "integer",
"required": false,
"default": 42,
"description": "Random seed for reproducibility"
},
"output_fps": {
"node_id": 7,
"widget_index": 0,
"type": "integer",
"required": false,
"default": 6,
"description": "Output video framerate"
}
},
"outputs": {
"video": {
"node_id": 7,
"type": "video",
"format": "MP4 (H.264)",
"resolution": "1024x576 (configurable)",
"duration": "~2.3 seconds @ 6fps (14 frames)"
}
},
"performance": {
"avg_generation_time": "25-35 seconds",
"vram_usage": "~16-18GB",
"gpu_utilization": "95-100%"
},
"use_cases": [
"Animate static images with natural motion",
"Create short video loops from single frames",
"Add subtle camera movements to still images",
"Generate product animation previews"
],
"notes": [
"SVD-XT extends frame count from 14 to 25 frames",
"Model auto-downloads on first use (~9GB)",
"Recommended resolution: 1024x576 (16:9)",
"Higher motion_bucket_id = more movement",
"Linear CFG guidance improves temporal consistency"
]
}
},
"version": 0.4
}

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{
"last_node_id": 7,
"last_link_id": 10,
"nodes": [
{
"id": 1,
"type": "LoadImage",
"pos": [50, 100],
"size": [315, 314],
"widgets_values": ["input_frame.png", "image"],
"title": "API Input Image",
"flags": {},
"order": 0,
"mode": 0,
"properties": {
"Node name for S&R": "LoadImage"
},
"outputs": [
{
"name": "IMAGE",
"type": "IMAGE",
"links": [1],
"slot_index": 0
},
{
"name": "MASK",
"type": "MASK",
"links": null
}
]
},
{
"id": 2,
"type": "ImageOnlyCheckpointLoader",
"pos": [50, 500],
"size": [350, 100],
"widgets_values": ["svd_xt.safetensors"],
"title": "SVD-XT Model Loader",
"flags": {},
"order": 1,
"mode": 0,
"properties": {
"Node name for S&R": "ImageOnlyCheckpointLoader"
},
"outputs": [
{
"name": "MODEL",
"type": "MODEL",
"links": [2],
"slot_index": 0
},
{
"name": "CLIP_VISION",
"type": "CLIP_VISION",
"links": [3],
"slot_index": 1
},
{
"name": "VAE",
"type": "VAE",
"links": [4, 5],
"slot_index": 2
}
]
},
{
"id": 3,
"type": "VideoLinearCFGGuidance",
"pos": [450, 500],
"size": [315, 100],
"widgets_values": [1.0],
"title": "Linear CFG Guidance",
"flags": {},
"order": 2,
"mode": 0,
"properties": {
"Node name for S&R": "VideoLinearCFGGuidance"
},
"inputs": [
{
"name": "model",
"type": "MODEL",
"link": 2
}
],
"outputs": [
{
"name": "MODEL",
"type": "MODEL",
"links": [6],
"slot_index": 0
}
]
},
{
"id": 4,
"type": "SVD_img2vid_Conditioning",
"pos": [450, 100],
"size": [315, 350],
"widgets_values": [1024, 576, 25, 127, 6, 0.0],
"title": "SVD-XT Image-to-Video Conditioning (25 frames)",
"flags": {},
"order": 3,
"mode": 0,
"properties": {
"Node name for S&R": "SVD_img2vid_Conditioning"
},
"inputs": [
{
"name": "clip_vision",
"type": "CLIP_VISION",
"link": 3
},
{
"name": "init_image",
"type": "IMAGE",
"link": 1
},
{
"name": "vae",
"type": "VAE",
"link": 4
}
],
"outputs": [
{
"name": "positive",
"type": "CONDITIONING",
"links": [7],
"slot_index": 0
},
{
"name": "negative",
"type": "CONDITIONING",
"links": [8],
"slot_index": 1
},
{
"name": "latent",
"type": "LATENT",
"links": [9],
"slot_index": 2
}
]
},
{
"id": 5,
"type": "KSampler",
"pos": [800, 100],
"size": [315, 474],
"widgets_values": [42, "fixed", 30, 6.0, "euler", "karras", 1.0],
"title": "KSampler (30 steps)",
"flags": {},
"order": 4,
"mode": 0,
"properties": {
"Node name for S&R": "KSampler"
},
"inputs": [
{
"name": "model",
"type": "MODEL",
"link": 6
},
{
"name": "positive",
"type": "CONDITIONING",
"link": 7
},
{
"name": "negative",
"type": "CONDITIONING",
"link": 8
},
{
"name": "latent_image",
"type": "LATENT",
"link": 9
}
],
"outputs": [
{
"name": "LATENT",
"type": "LATENT",
"links": [10],
"slot_index": 0
}
]
},
{
"id": 6,
"type": "VAEDecode",
"pos": [1150, 100],
"size": [210, 46],
"widgets_values": [],
"title": "VAE Decode Video Frames",
"flags": {},
"order": 5,
"mode": 0,
"properties": {
"Node name for S&R": "VAEDecode"
},
"inputs": [
{
"name": "samples",
"type": "LATENT",
"link": 10
},
{
"name": "vae",
"type": "VAE",
"link": 5
}
],
"outputs": [
{
"name": "IMAGE",
"type": "IMAGE",
"links": [11],
"slot_index": 0
}
]
},
{
"id": 7,
"type": "VHS_VideoCombine",
"pos": [1400, 100],
"size": [315, 200],
"widgets_values": [6, 0, "svd_xt_output", "video/h264-mp4", false, true],
"title": "Combine Video Frames",
"flags": {},
"order": 6,
"mode": 0,
"properties": {
"Node name for S&R": "VHS_VideoCombine"
},
"inputs": [
{
"name": "images",
"type": "IMAGE",
"link": 11
}
],
"outputs": [
{
"name": "Filenames",
"type": "VHS_FILENAMES",
"links": null
}
]
}
],
"links": [
[1, 1, 0, 4, 1, "IMAGE"],
[2, 2, 0, 3, 0, "MODEL"],
[3, 2, 1, 4, 0, "CLIP_VISION"],
[4, 2, 2, 4, 2, "VAE"],
[5, 2, 2, 6, 1, "VAE"],
[6, 3, 0, 5, 0, "MODEL"],
[7, 4, 0, 5, 1, "CONDITIONING"],
[8, 4, 1, 5, 2, "CONDITIONING"],
[9, 4, 2, 5, 3, "LATENT"],
[10, 5, 0, 6, 0, "LATENT"],
[11, 6, 0, 7, 0, "IMAGE"]
],
"groups": [],
"config": {},
"extra": {
"workflow_info": {
"name": "Stable Video Diffusion XT Image-to-Video Production",
"version": "1.2.0",
"description": "Extended animation using SVD-XT. Generate 25-frame video for longer animations with smooth motion.",
"category": "image-to-video",
"tags": ["svd-xt", "stable-video-diffusion", "i2v", "extended", "production"],
"requirements": {
"models": ["SVD-XT"],
"custom_nodes": ["ComfyUI-VideoHelperSuite"],
"vram_min": "18GB",
"vram_recommended": "20GB"
},
"parameters": {
"input_image": {
"node_id": 1,
"widget_index": 0,
"type": "image",
"required": true,
"description": "Starting frame for video generation (1024x576 recommended)"
},
"width": {
"node_id": 4,
"widget_index": 0,
"type": "integer",
"required": false,
"default": 1024,
"min": 16,
"max": 16384,
"description": "Output video width"
},
"height": {
"node_id": 4,
"widget_index": 1,
"type": "integer",
"required": false,
"default": 576,
"min": 16,
"max": 16384,
"description": "Output video height"
},
"video_frames": {
"node_id": 4,
"widget_index": 2,
"type": "integer",
"required": false,
"default": 25,
"min": 1,
"max": 4096,
"description": "Number of frames to generate (25 for SVD-XT)"
},
"motion_bucket_id": {
"node_id": 4,
"widget_index": 3,
"type": "integer",
"required": false,
"default": 127,
"min": 1,
"max": 1023,
"description": "Motion amount (higher = more motion)"
},
"fps": {
"node_id": 4,
"widget_index": 4,
"type": "integer",
"required": false,
"default": 6,
"min": 1,
"max": 1024,
"description": "Frames per second for conditioning"
},
"augmentation_level": {
"node_id": 4,
"widget_index": 5,
"type": "float",
"required": false,
"default": 0.0,
"min": 0.0,
"max": 10.0,
"description": "Noise augmentation level"
},
"steps": {
"node_id": 5,
"widget_index": 2,
"type": "integer",
"required": false,
"default": 30,
"min": 1,
"max": 150,
"description": "Sampling steps (30 recommended)"
},
"cfg": {
"node_id": 5,
"widget_index": 3,
"type": "float",
"required": false,
"default": 6.0,
"min": 0.0,
"max": 30.0,
"description": "Classifier-free guidance scale"
},
"seed": {
"node_id": 5,
"widget_index": 0,
"type": "integer",
"required": false,
"default": 42,
"description": "Random seed for reproducibility"
},
"output_fps": {
"node_id": 7,
"widget_index": 0,
"type": "integer",
"required": false,
"default": 6,
"description": "Output video framerate"
}
},
"outputs": {
"video": {
"node_id": 7,
"type": "video",
"format": "MP4 (H.264)",
"resolution": "1024x576 (configurable)",
"duration": "~4.2 seconds @ 6fps (25 frames)"
}
},
"performance": {
"avg_generation_time": "40-55 seconds",
"vram_usage": "~18-20GB",
"gpu_utilization": "95-100%"
},
"use_cases": [
"Extended animations with smooth motion",
"Longer video loops from single frames",
"Cinematic camera movements",
"Product animation showcases"
],
"notes": [
"SVD-XT generates 25 frames vs 14 frames in base SVD",
"Requires more VRAM (~18GB vs ~16GB)",
"Model auto-downloads on first use (~9GB)",
"Recommended resolution: 1024x576 (16:9)",
"Higher motion_bucket_id = more movement",
"Linear CFG guidance improves temporal consistency"
]
}
},
"version": 0.4
}

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example_workflows/ultimate-sd-upscale-production-v1.json Normal file
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{
"last_node_id": 8,
"last_link_id": 10,
"nodes": [
{
"id": 1,
"type": "LoadImage",
"pos": [50, 100],
"size": [350, 100],
"flags": {},
"order": 0,
"mode": 0,
"outputs": [
{
"name": "IMAGE",
"type": "IMAGE",
"links": [1],
"slot_index": 0
},
{
"name": "MASK",
"type": "MASK",
"links": null,
"slot_index": 1
}
],
"properties": {
"Node name for S&R": "LoadImage"
},
"widgets_values": ["input_image.png", "image"],
"title": "API Input Image"
},
{
"id": 2,
"type": "CheckpointLoaderSimple",
"pos": [50, 250],
"size": [350, 100],
"flags": {},
"order": 1,
"mode": 0,
"outputs": [
{
"name": "MODEL",
"type": "MODEL",
"links": [2],
"slot_index": 0
},
{
"name": "CLIP",
"type": "CLIP",
"links": [3, 4],
"slot_index": 1
},
{
"name": "VAE",
"type": "VAE",
"links": [5],
"slot_index": 2
}
],
"properties": {
"Node name for S&R": "CheckpointLoaderSimple"
},
"widgets_values": ["sd_xl_base_1.0.safetensors"],
"title": "SDXL Checkpoint Loader"
},
{
"id": 3,
"type": "CLIPTextEncode",
"pos": [450, 100],
"size": [400, 200],
"flags": {},
"order": 2,
"mode": 0,
"inputs": [
{
"name": "clip",
"type": "CLIP",
"link": 3
}
],
"outputs": [
{
"name": "CONDITIONING",
"type": "CONDITIONING",
"links": [6],
"slot_index": 0
}
],
"properties": {
"Node name for S&R": "CLIPTextEncode"
},
"widgets_values": ["high quality, detailed, sharp"],
"title": "API Positive Prompt"
},
{
"id": 4,
"type": "CLIPTextEncode",
"pos": [450, 350],
"size": [400, 200],
"flags": {},
"order": 3,
"mode": 0,
"inputs": [
{
"name": "clip",
"type": "CLIP",
"link": 4
}
],
"outputs": [
{
"name": "CONDITIONING",
"type": "CONDITIONING",
"links": [7],
"slot_index": 0
}
],
"properties": {
"Node name for S&R": "CLIPTextEncode"
},
"widgets_values": ["blurry, low quality"],
"title": "API Negative Prompt"
},
{
"id": 8,
"type": "UpscaleModelLoader",
"pos": [50, 400],
"size": [350, 100],
"flags": {},
"order": 4,
"mode": 0,
"outputs": [
{
"name": "UPSCALE_MODEL",
"type": "UPSCALE_MODEL",
"links": [10],
"slot_index": 0
}
],
"properties": {
"Node name for S&R": "UpscaleModelLoader"
},
"widgets_values": ["RealESRGAN_x2.pth"],
"title": "Upscale Model Loader"
},
{
"id": 5,
"type": "UltimateSDUpscale",
"pos": [900, 100],
"size": [315, 100],
"flags": {},
"order": 5,
"mode": 0,
"inputs": [
{
"name": "image",
"type": "IMAGE",
"link": 1
},
{
"name": "model",
"type": "MODEL",
"link": 2
},
{
"name": "positive",
"type": "CONDITIONING",
"link": 6
},
{
"name": "negative",
"type": "CONDITIONING",
"link": 7
},
{
"name": "vae",
"type": "VAE",
"link": 5
},
{
"name": "upscale_model",
"type": "UPSCALE_MODEL",
"link": 10
}
],
"outputs": [
{
"name": "IMAGE",
"type": "IMAGE",
"links": [8, 9],
"slot_index": 0
}
],
"properties": {
"Node name for S&R": "UltimateSDUpscale"
},
"widgets_values": [2, 42, "randomize", 20, 8.0, "dpmpp_2m", "karras", 0.3, "Linear", 512, 512, 8, 32, "None", 1.0, 64, 8, 16, true, false],
"title": "Ultimate SD Upscale (2x)"
},
{
"id": 6,
"type": "PreviewImage",
"pos": [1270, 100],
"size": [315, 100],
"flags": {},
"order": 6,
"mode": 0,
"inputs": [
{
"name": "images",
"type": "IMAGE",
"link": 8
}
],
"properties": {
"Node name for S&R": "PreviewImage"
},
"title": "Preview Output"
},
{
"id": 7,
"type": "SaveImage",
"pos": [1270, 400],
"size": [315, 100],
"flags": {},
"order": 7,
"mode": 0,
"inputs": [
{
"name": "images",
"type": "IMAGE",
"link": 9
}
],
"properties": {
"Node name for S&R": "SaveImage"
},
"widgets_values": ["ultimate_upscale_output"],
"title": "API Image Output"
}
],
"links": [
[1, 1, 0, 5, 0, "IMAGE"],
[2, 2, 0, 5, 1, "MODEL"],
[3, 2, 1, 3, 0, "CLIP"],
[4, 2, 1, 4, 0, "CLIP"],
[5, 2, 2, 5, 4, "VAE"],
[6, 3, 0, 5, 2, "CONDITIONING"],
[7, 4, 0, 5, 3, "CONDITIONING"],
[8, 5, 0, 6, 0, "IMAGE"],
[9, 5, 0, 7, 0, "IMAGE"],
[10, 8, 0, 5, 5, "UPSCALE_MODEL"]
],
"groups": [],
"config": {},
"extra": {
"workflow_info": {
"name": "Ultimate SD Upscale Production",
"version": "1.1.0",
"description": "Professional upscaling with Ultimate SD Upscale. Combines AI upscaling with diffusion refinement for superior detail and quality.",
"category": "upscaling",
"tags": ["ultimate-sd-upscale", "upscaling", "enhancement", "production"],
"requirements": {
"models": ["stable-diffusion-xl-base-1.0", "RealESRGAN"],
"custom_nodes": ["ComfyUI_UltimateSDUpscale"],
"vram_min": "18GB"
},
"parameters": {
"input_image": {
"node_id": 1,
"type": "image",
"required": true
},
"positive_prompt": {
"node_id": 3,
"widget_index": 0,
"type": "string",
"default": "high quality, detailed, sharp",
"description": "Enhancement prompt"
},
"negative_prompt": {
"node_id": 4,
"widget_index": 0,
"type": "string",
"default": "blurry, low quality",
"description": "Qualities to avoid"
},
"upscale_model": {
"node_id": 8,
"widget_index": 0,
"type": "string",
"default": "RealESRGAN_x2.pth",
"options": ["RealESRGAN_x2.pth", "RealESRGAN_x4.pth"],
"description": "Upscale model to use"
},
"upscale_by": {
"node_id": 5,
"widget_index": 0,
"type": "float",
"default": 2,
"min": 0.05,
"max": 4,
"description": "Upscale factor"
},
"denoise": {
"node_id": 5,
"widget_index": 6,
"type": "float",
"default": 0.3,
"description": "Refinement strength"
},
"tile_width": {
"node_id": 5,
"widget_index": 8,
"type": "integer",
"default": 512,
"description": "Tile width for processing"
},
"tile_height": {
"node_id": 5,
"widget_index": 9,
"type": "integer",
"default": 512,
"description": "Tile height for processing"
}
},
"performance": {
"avg_generation_time": "60-120 seconds (depending on input size)",
"vram_usage": "~16-20GB"
}
}
},
"version": 0.4
}