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DemonGatanjieu-Anomalous_Mo…/api/blocks/upscale_tiled.json
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DemonGatanjieuandClaude Opus 5.5 78502e66c4 Ways: a maintained models list with links and SHA256, and how each was tried
- api/block_models.json: the 15 models the ways recommend, each with its
  Hugging Face / Civitai / GitHub links, size, SHA256 (all checked against the
  sites), licence and folder. A block's "models" names its recommended ones; the
  Ways panel ticks those here (by name, or by size for a renamed copy) and
  downloads a missing one in a click with model_download.downloadFrom, its hash
  checked.
- A block's "tested": the card (RTX 4050 laptop, 6 GB), sizes and a whole run's
  time, shown in the panel and told to the AI with the block (answer.tested).
- color_lineart gets an Anima variant with Anima's lineart LLLite.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-27 17:14:48 +08:00

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{
"job": "upscale",
"rank": 4,
"short": "2×, in tiles",
"title": {
"zh": "分块放大",
"en": "Tiled upscale"
},
"about": {
"zh": "放大 2 倍,按 1024 的小块逐块重画,多大的图都放得下,比「放大」慢。 装了 KJNodes 时,还会把颜色对齐到原图,防止放大后颜色跑偏。",
"en": "2×, redrawn in 1024 tiles, so any size fits; slower than Upscale. With KJNodes, its colours are matched to the original, so they don't drift."
},
"source": {
"zh": "节点包 UltimateSDUpscale 自带的示例",
"en": "UltimateSDUpscale's own example"
},
"packs": {
"UltimateSDUpscale": "ComfyUI_UltimateSDUpscale"
},
"instead": "upscale",
"upscaler": true,
"after": "run_workflow saves the picture as before and the 2× one beside it (prefix upscaled); each tile is redrawn with the sampler's steps and cfg at denoise 0.3 (higher adds more detail, and may add seams).",
"extras": {
"ColorMatch": "ComfyUI-KJNodes"
},
"notes": "ColorMatch mkl after the redraw is the source's, optional (KJNodes).",
"upscale_by": 2.0,
"nodes": {
"upscaler": {
"class_type": "UpscaleModelLoader",
"inputs": {
"model_name": "$upscaler"
}
},
"tiles": {
"class_type": "UltimateSDUpscale",
"like": "$sampler",
"inputs": {
"image": [
"$save.images",
"*"
],
"model": [
"$sampler.model",
"*"
],
"positive": [
"$sampler.positive",
"*"
],
"negative": [
"$sampler.negative",
"*"
],
"vae": [
"$decode.vae",
"*"
],
"upscale_model": [
"upscaler",
0
],
"upscale_by": 2.0,
"denoise": 0.3,
"tile_width": 1024,
"tile_height": 1024
}
},
"match": {
"class_type": "ColorMatch",
"optional": true,
"inputs": {
"image_ref": [
"$save.images",
"*"
],
"image_target": [
"tiles",
0
],
"method": "mkl",
"strength": 1.0,
"multithread": true
}
},
"save": {
"class_type": "SaveImage",
"inputs": {
"images": [
"match|tiles",
0
],
"filename_prefix": "upscaled"
}
}
},
"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 → 2×",
"seconds": 167
}
]
}
}