Files
runpod/comfyui/workflows/upscaling/ultimate-sd-upscale-production-v1.json
Sebastian Krüger 897dcb175a refactor: reorganize directory structure and remove hardcoded paths
Move comfyui and vllm out of models/ directory to top level for better
organization. Replace all hardcoded /workspace paths with relative paths
to make the configuration portable across different environments.

Changes:
- Move models/comfyui/ → comfyui/
- Move models/vllm/ → vllm/
- Remove models/ directory (empty)
- Update arty.yml: replace /workspace with environment variables
- Update supervisord.conf: use relative paths from /workspace/ai
- Update all script references to use new paths
- Maintain TQDM_DISABLE=1 to fix BrokenPipeError

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-22 20:49:27 +01:00

264 lines
5.0 KiB
JSON

{
"last_node_id": 12,
"nodes": [
{
"id": 1,
"type": "LoadImage",
"pos": [
50,
100
],
"widgets_values": [
"input_image.png",
"image"
],
"title": "API Input Image",
"flags": {},
"order": 0,
"mode": 0,
"properties": {
"Node name for S&R": "LoadImage"
},
"size": {
"0": 350,
"1": 100
}
},
{
"id": 2,
"type": "CheckpointLoaderSimple",
"pos": [
50,
400
],
"widgets_values": [
"diffusers/stable-diffusion-xl-base-1.0"
],
"title": "SDXL Checkpoint Loader",
"flags": {},
"order": 1,
"mode": 0,
"properties": {
"Node name for S&R": "CheckpointLoaderSimple"
},
"size": {
"0": 350,
"1": 100
}
},
{
"id": 3,
"type": "UpscaleModelLoader",
"pos": [
50,
600
],
"widgets_values": [
"RealESRGAN_x2.pth"
],
"title": "Upscale Model Loader",
"flags": {},
"order": 2,
"mode": 0,
"properties": {
"Node name for S&R": "UpscaleModelLoader"
},
"size": {
"0": 350,
"1": 100
}
},
{
"id": 4,
"type": "CLIPTextEncode",
"pos": [
450,
100
],
"widgets_values": [
"high quality, detailed, sharp"
],
"title": "API Positive Prompt",
"flags": {},
"order": 3,
"mode": 0,
"properties": {
"Node name for S&R": "CLIPTextEncode"
},
"size": {
"0": 400,
"1": 200
}
},
{
"id": 5,
"type": "CLIPTextEncode",
"pos": [
450,
300
],
"widgets_values": [
"blurry, low quality"
],
"title": "API Negative Prompt",
"flags": {},
"order": 4,
"mode": 0,
"properties": {
"Node name for S&R": "CLIPTextEncode"
},
"size": {
"0": 400,
"1": 200
}
},
{
"id": 6,
"type": "UltimateSDUpscale",
"pos": [
800,
100
],
"widgets_values": [
2,
42,
20,
8.0,
"dpmpp_2m",
"karras",
0.3,
"Linear",
512,
64
],
"title": "Ultimate SD Upscale (2x)",
"flags": {},
"order": 5,
"mode": 0,
"properties": {
"Node name for S&R": "UltimateSDUpscale"
},
"size": {
"0": 315,
"1": 100
}
},
{
"id": 7,
"type": "VAEDecode",
"pos": [
1150,
100
],
"title": "VAE Decode",
"flags": {},
"order": 6,
"mode": 0,
"properties": {
"Node name for S&R": "VAEDecode"
},
"size": {
"0": 315,
"1": 100
}
},
{
"id": 8,
"type": "PreviewImage",
"pos": [
1450,
100
],
"title": "Preview Output",
"flags": {},
"order": 7,
"mode": 0,
"properties": {
"Node name for S&R": "PreviewImage"
},
"size": {
"0": 315,
"1": 100
}
},
{
"id": 9,
"type": "SaveImage",
"pos": [
1450,
550
],
"widgets_values": [
"ultimate_upscale_output"
],
"title": "API Image Output",
"flags": {},
"order": 8,
"mode": 0,
"properties": {
"Node name for S&R": "SaveImage"
},
"size": {
"0": 315,
"1": 100
}
}
],
"extra": {
"workflow_info": {
"name": "Ultimate SD Upscale Production",
"version": "1.0.0",
"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": [],
"vram_min": "18GB"
},
"parameters": {
"input_image": {
"node_id": 1,
"type": "image",
"required": true
},
"scale": {
"node_id": 6,
"type": "integer",
"default": 2,
"options": [
2,
4
]
},
"tile_size": {
"node_id": 6,
"type": "integer",
"default": 512,
"description": "Processing tile size"
},
"denoise": {
"node_id": 6,
"type": "float",
"default": 0.3,
"description": "Refinement strength"
}
},
"performance": {
"avg_generation_time": "60-120 seconds (depending on input size)",
"vram_usage": "~16-20GB"
}
}
},
"version": 0.4,
"links": [],
"last_link_id": 0
}