DemonGatanjieuandClaude Opus 5.5
78502e66c4
- 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>
133 lines
3.4 KiB
JSON
133 lines
3.4 KiB
JSON
{
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"job": "upscale",
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"rank": 2,
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"short": "1.3× in 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 3 小步放大到 1.3 倍，每步轻轻重画一次，比一步到位更稳。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": "Enlarges to 1.3× in 3 small steps, a light redraw each, steadier than one jump. 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「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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