DemonGatanjieuandClaude Opus 5.5
5f336d39cd
The panel's text for each of the 18 blocks (about, zh and en) is one short sentence; where it came from and how it was tried stay under Details, the AI's instructions (after, notes) unchanged. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
156 lines
3.5 KiB
JSON
156 lines
3.5 KiB
JSON
{
|
||
"job": "upscale",
|
||
"want": "steady",
|
||
"rank": 3,
|
||
"short": "second model",
|
||
"title": {
|
||
"zh": "双模型放大",
|
||
"en": "Upscale with a second model"
|
||
},
|
||
"about": {
|
||
"zh": "放大后换一个更稳的模型重画，原模型放大后容易走样时用。",
|
||
"en": "Redraws the enlarged picture with a steadier model, when the first goes wrong enlarged."
|
||
},
|
||
"source": {
|
||
"zh": "参考工作流的「Refiner/放大」加载器和作者的说明",
|
||
"en": "The reference workflow's upscale loader and its author's note"
|
||
},
|
||
"packs": {},
|
||
"upscaler": true,
|
||
"after": "The redraw's model comes from a new loader (second_model), for now the same checkpoint as the first: set_model it to the steadier one the user wants (ask_user, search_models), of the same family (SDXL with SDXL: it reuses the first model's prompts). Then run_workflow; the larger one is saved beside it (prefix upscaled).",
|
||
"notes": "The source keeps a second loader for upscaling; its author: switch to it when the base model goes wrong enlarged. ColorMatch mkl after the redraw is the source's, optional (KJNodes).",
|
||
"upscale_by": 1.25,
|
||
"nodes": {
|
||
"second_model": {
|
||
"class_type": "CheckpointLoaderSimple",
|
||
"like": "$loader",
|
||
"inputs": {}
|
||
},
|
||
"upscaler": {
|
||
"class_type": "UpscaleModelLoader",
|
||
"inputs": {
|
||
"model_name": "$upscaler"
|
||
}
|
||
},
|
||
"enlarge": {
|
||
"class_type": "ImageUpscaleWithModel",
|
||
"inputs": {
|
||
"upscale_model": [
|
||
"upscaler",
|
||
0
|
||
],
|
||
"image": [
|
||
"$save.images",
|
||
"*"
|
||
]
|
||
}
|
||
},
|
||
"fit": {
|
||
"class_type": "ImageScaleBy",
|
||
"inputs": {
|
||
"image": [
|
||
"enlarge",
|
||
0
|
||
],
|
||
"upscale_method": "lanczos",
|
||
"scale_by": "$fit"
|
||
}
|
||
},
|
||
"encode": {
|
||
"class_type": "VAEEncode",
|
||
"inputs": {
|
||
"pixels": [
|
||
"fit",
|
||
0
|
||
],
|
||
"vae": [
|
||
"$decode.vae",
|
||
"*"
|
||
]
|
||
}
|
||
},
|
||
"redraw": {
|
||
"class_type": "KSampler",
|
||
"like": "$sampler",
|
||
"inputs": {
|
||
"model": [
|
||
"second_model",
|
||
0
|
||
],
|
||
"positive": [
|
||
"$sampler.positive",
|
||
"*"
|
||
],
|
||
"negative": [
|
||
"$sampler.negative",
|
||
"*"
|
||
],
|
||
"latent_image": [
|
||
"encode",
|
||
0
|
||
],
|
||
"denoise": 0.35
|
||
}
|
||
},
|
||
"decode": {
|
||
"class_type": "VAEDecode",
|
||
"inputs": {
|
||
"samples": [
|
||
"redraw",
|
||
0
|
||
],
|
||
"vae": [
|
||
"$decode.vae",
|
||
"*"
|
||
]
|
||
}
|
||
},
|
||
"match": {
|
||
"class_type": "ColorMatch",
|
||
"optional": true,
|
||
"inputs": {
|
||
"image_ref": [
|
||
"fit",
|
||
0
|
||
],
|
||
"image_target": [
|
||
"decode",
|
||
0
|
||
],
|
||
"method": "mkl",
|
||
"strength": 1.0,
|
||
"multithread": true
|
||
}
|
||
},
|
||
"save": {
|
||
"class_type": "SaveImage",
|
||
"inputs": {
|
||
"images": [
|
||
"match|decode",
|
||
0
|
||
],
|
||
"filename_prefix": "upscaled"
|
||
}
|
||
}
|
||
},
|
||
"extras": {
|
||
"ColorMatch": "ComfyUI-KJNodes"
|
||
},
|
||
"models": [
|
||
"2x_animesharp_v4",
|
||
"4x_ultrasharp"
|
||
],
|
||
"tested": {
|
||
"gpu": "RTX 4050 Laptop",
|
||
"vram_gb": 6,
|
||
"date": "2026-10-27",
|
||
"runs": [
|
||
{
|
||
"model": "SDXL (Illustrious)",
|
||
"size": "832×1216 → 1.25×",
|
||
"seconds": 44
|
||
}
|
||
]
|
||
}
|
||
}
|