valknar/comfyui-extras
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity
Files
d6dfdd72e2a1c69845b5a4dede8da959a867fa1d
comfyui-extras/example_workflows/controlnet-fusion-production-v1.json
Sebastian Krüger d6dfdd72e2 feat: initial ComfyUI workflow templates extension 
- 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>
2025-11-26 09:16:45 +01:00

400 lines
12 KiB
JSON
Raw Blame History

{
"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
}
Reference in New Issue View Git Blame Copy Permalink