DemonGatanjieuandClaude Opus 5.5
ce4b8a8a49
place_in_scene takes two pictures (add_nodes' new scene argument, $scene in a block marked "scene"): the character is cut out (inspyrenet-rembg), the place scaled and cropped to its size (GetImageSize, ImageScale), the character pasted on (ImageCompositeMasked) and everything else redrawn at denoise 0.5 with the edge grown 6 px, so shadow and ground meet it while the place keeps its look. Tried on an RTX 4050 6 GB with SDXL (Illustrious) 832x1216: about 40 s. The blocks' short words are shorter so begin_task stays under 4000 characters. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
155 lines
3.8 KiB
JSON
155 lines
3.8 KiB
JSON
{
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"job": "upscale",
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"rank": 3,
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"short": "second model",
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"title": {
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"zh": "双模型放大",
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"en": "Upscale with a second model"
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},
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"about": {
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"zh": "和「放大」一样，但重画换一个模型：底模放大时不稳（眼睛走样、多出肚脐）就换一个更稳的。新加的模型加载器先是同一个模型，由 AI 按你的意思换。 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": "Like Upscale, but the redraw uses a second model, for a base model that goes wrong when enlarged. The new loader starts as the same model; the AI changes it as you say. 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「Refiner/放大」加载器和作者的说明",
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"en": "The reference workflow's upscale loader and its author's note"
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},
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"packs": {},
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"upscaler": true,
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"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).",
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"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).",
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"upscale_by": 1.25,
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"nodes": {
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"second_model": {
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"class_type": "CheckpointLoaderSimple",
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"like": "$loader",
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"inputs": {}
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},
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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": "$sampler",
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"inputs": {
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"model": [
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"second_model",
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0
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],
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"positive": [
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"$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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"models": [
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"2x_animesharp_v4",
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"4x_ultrasharp"
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],
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"tested": {
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"gpu": "RTX 4050 Laptop",
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"vram_gb": 6,
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"date": "2026-10-27",
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"runs": [
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{
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"model": "SDXL (Illustrious)",
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"size": "832×1216 → 1.25×",
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"seconds": 44
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}
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]
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}
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}
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