DemonGatanjieuandClaude Opus 5.5
dd9c3ee2f5
- tags_from_picture: WD14 tagger (the source's model and thresholds) on a picture the user handed; run_status now carries what nodes showed as words (texts: a tagger's tags), with a summary and next step for a run that made words but no pictures. - Optional nodes: a block node marked optional goes when its pack is missing, and a link "match|decode" takes the first one there. The four upscales end in KJNodes' ColorMatch (mkl, the source's) when it is installed; the panel says "better with" it otherwise. - LanPaint's next step keeps the prompt about the whole picture; Follow a pose says OpenPose misreads anime (use control_depth), as the source's author did. - The directory has a size cap: past it, block names alone, so collected ways never make begin_task long; shorter headings and few-word lines. Live-tested on the isolated 8199 ComfyUI: LanPaint (area changed 14.6, outside 0.0, 82 s), tiled 2x (167 s), depth ControlNet (follows the layout), OpenPose (misreads an anime picture), background removal (8 s), tags (166 s with the model download), upscale with ColorMatch (73 s). Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
134 lines
3.3 KiB
JSON
134 lines
3.3 KiB
JSON
{
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"job": "upscale",
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"rank": 1,
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"short": "1.25×",
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"title": {
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"zh": "放大",
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"en": "Upscale"
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},
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"about": {
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"zh": "放大模型放大到 1.25 倍，再用同样的设置轻轻重画一遍（强度 0.35），细节是画出来的而不是糊的。另存一张，文件名以 upscaled 开头。 装了 KJNodes 时，还会把颜色对齐到原图，防止放大后颜色跑偏。",
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"en": "An upscale model enlarges it to 1.25×, then a light redraw with the same settings (denoise 0.35) makes the detail real. Saved beside it, prefix upscaled. With KJNodes, its colours are matched to the original, so they don't drift."
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},
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"source": {
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"zh": "参考工作流的「通用放大」组",
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"en": "The reference workflow's general upscale group"
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},
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"packs": {},
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"upscaler": true,
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"after": "run_workflow saves the picture as before and the larger one beside it (prefix upscaled). The redraw sampler has the first one's steps and cfg at denoise 0.35: lower keeps more of the picture, higher adds more (and above 0.5 may change it). For 2× or more use upscale_tiled.",
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"notes": "1.25× and denoise 0.35: the source used 1.25 and 0.32; its author says more than 1.5× goes wrong, and 1.5× of 832×1216 is too much for a 6 GB card. ColorMatch mkl after the redraw is the source's, optional (KJNodes).",
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"upscale_by": 1.25,
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"nodes": {
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"upscaler": {
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"class_type": "UpscaleModelLoader",
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"inputs": {
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"model_name": "$upscaler"
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}
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},
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"enlarge": {
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"class_type": "ImageUpscaleWithModel",
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"inputs": {
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"upscale_model": [
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"upscaler",
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0
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],
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"image": [
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"$save.images",
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"*"
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]
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}
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},
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"fit": {
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"class_type": "ImageScaleBy",
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"inputs": {
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"image": [
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"enlarge",
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0
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],
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"upscale_method": "lanczos",
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"scale_by": "$fit"
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}
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},
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"encode": {
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"class_type": "VAEEncode",
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"inputs": {
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"pixels": [
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"fit",
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0
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],
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"vae": [
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"$decode.vae",
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"*"
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]
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}
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},
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"redraw": {
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"class_type": "KSampler",
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"like": "$sampler",
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"inputs": {
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"model": [
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"$sampler.model",
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"*"
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],
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"positive": [
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"$sampler.positive",
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"*"
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],
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"negative": [
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"$sampler.negative",
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"*"
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],
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"latent_image": [
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"encode",
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0
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],
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"denoise": 0.35
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}
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},
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"decode": {
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"class_type": "VAEDecode",
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"inputs": {
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"samples": [
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"redraw",
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0
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],
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"vae": [
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"$decode.vae",
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"*"
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]
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}
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},
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"match": {
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"class_type": "ColorMatch",
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"optional": true,
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"inputs": {
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"image_ref": [
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"fit",
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0
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],
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"image_target": [
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"decode",
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0
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],
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"method": "mkl",
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"strength": 1.0,
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"multithread": true
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}
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},
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"save": {
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"class_type": "SaveImage",
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"inputs": {
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"images": [
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"match|decode",
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0
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],
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"filename_prefix": "upscaled"
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}
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}
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},
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"extras": {
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"ColorMatch": "ComfyUI-KJNodes"
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}
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}
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