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>
134 lines
3.1 KiB
JSON
134 lines
3.1 KiB
JSON
{
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"job": "upscale",
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"want": "steps",
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"rank": 2,
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"short": "3 steps",
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"title": {
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"zh": "迭代放大",
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"en": "Iterative upscale"
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},
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"about": {
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"zh": "分三步放大到 1.3 倍，每步都重画一遍。",
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"en": "To 1.3× in three steps, redrawn at each."
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},
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"source": {
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"zh": "参考工作流的「迭代放大」组（作者另加的噪声增强要 ComfyUI Noise，这里没用）",
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"en": "The reference workflow's iterative upscale group (its noise boost needs ComfyUI Noise, left out)"
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},
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"packs": {
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"PixelKSampleUpscalerProvider": "ComfyUI-Impact-Pack",
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"IterativeImageUpscale": "ComfyUI-Impact-Pack"
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},
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"instead": "upscale",
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"upscaler": true,
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"after": "run_workflow saves the picture as before and the 1.3× one beside it (prefix upscaled): 3 steps, each redrawn at denoise 0.3 with the sampler's steps and cfg.",
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"notes": "The source's values: factor 1.32, 3 steps, denoise 0.3, geometric; its noise injection (ComfyUI Noise) is left out. ColorMatch mkl after the redraw is the source's, optional (KJNodes).",
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"extras": {
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"ColorMatch": "ComfyUI-KJNodes"
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},
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"upscale_by": 1.3,
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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": "$upscaler"
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}
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},
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"redraw": {
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"class_type": "PixelKSampleUpscalerProvider",
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"like": "$sampler",
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"inputs": {
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"scale_method": "lanczos",
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"model": [
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"$sampler.model",
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"*"
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],
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"vae": [
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"$decode.vae",
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"*"
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],
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"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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"denoise": 0.3,
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"use_tiled_vae": false,
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"tile_size": 1024,
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"upscale_model_opt": [
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"upscaler",
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0
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]
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}
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},
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"steps": {
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"class_type": "IterativeImageUpscale",
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"inputs": {
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"pixels": [
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"$save.images",
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"*"
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],
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"upscale_factor": 1.3,
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"steps": 3,
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"temp_prefix": "",
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"upscaler": [
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"redraw",
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0
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],
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"vae": [
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"$decode.vae",
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"*"
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],
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"step_mode": "geometric",
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"vae_compression": 8
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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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"$save.images",
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"*"
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],
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"image_target": [
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"steps",
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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|steps",
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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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"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 → 1.3×",
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"seconds": 157
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}
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]
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}
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}
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