DemonGatanjieuandClaude Opus 5.5
f0a026142a
Two more ways under "Redraw with another model" (want: character, background). The character is cut out (InSPyReNet, made solid, grown 12 px); the character way blurs that mask so the second model's redraw fades out at the edge (Differential Diffusion), the background way redraws its inverse; both paste the redraw back through the mask, so the rest of the picture stays the same to the pixel. Denoise 0.45 from GPT's comparison of 2026-11-10. Both built through the real page on the test ComfyUI on Anima (Harem 2.9B, RealSkin, Kirazuri), 1440x1024: outside the soft edge and outside the background nothing changed. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
288 lines
9.0 KiB
JSON
288 lines
9.0 KiB
JSON
{
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"job": "refine",
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"want": "character",
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"rank": 8,
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"short": "character only",
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"title": {
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"zh": "换模型精修·只改人物",
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"en": "Refine only the character"
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},
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"about": {
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"zh": "自动抠出人物，换另一个模型只重画人物，边缘慢慢减弱，场景原样不动，另存一张。",
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"en": "Cuts the character out; another model redraws only it, fading out at its edge, the scene left as it was; saved beside it."
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},
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"source": {
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"zh": "常见的抠图加渐变遮罩局部重画（ComfyUI 自带的 Differential Diffusion），强度按 2026-11-10 的人物重画对照定",
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"en": "The common cut-out with a graded-mask repaint (ComfyUI's own Differential Diffusion), its strength from a character redraw comparison of 2026-11-10"
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},
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"packs": {
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"InspyrenetRembg": "comfyui-inspyrenet-rembg"
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},
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"nodes": {
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"second_model": {
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"class_type": "CheckpointLoaderSimple",
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"like": "$loader",
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"inputs": {}
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},
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"second_positive": {
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"class_type": "CLIPTextEncode",
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"like": "$sampler.positive",
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"inputs": {
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"clip": ["second_model", 1]
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}
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},
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"second_negative": {
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"class_type": "CLIPTextEncode",
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"like": "$sampler.negative",
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"inputs": {
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"clip": ["second_model", 1]
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}
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},
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"cut": {
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"class_type": "InspyrenetRembg",
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"inputs": {
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"image": ["$save.images", "*"],
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"torchscript_jit": "default"
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}
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},
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"solid": {
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"class_type": "ThresholdMask",
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"inputs": {
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"mask": ["cut", 1],
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"value": 0.5
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}
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},
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"edge": {
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"class_type": "GrowMask",
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"inputs": {
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"mask": ["solid", 0],
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"expand": 12,
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"tapered_corners": true
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}
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},
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"as_picture": {
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"class_type": "MaskToImage",
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"inputs": {
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"mask": ["edge", 0]
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}
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},
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"fade": {
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"class_type": "ImageBlur",
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"inputs": {
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"image": ["as_picture", 0],
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"blur_radius": 31,
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"sigma": 0.5
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}
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},
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"area_mask": {
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"class_type": "ImageToMask",
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"inputs": {
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"image": ["fade", 0],
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"channel": "red"
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}
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},
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"soft": {
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"class_type": "DifferentialDiffusion",
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"inputs": {
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"model": ["second_model", 0]
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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": ["$save.images", "*"],
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"vae": ["second_model", 2]
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}
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},
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"area": {
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"class_type": "SetLatentNoiseMask",
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"inputs": {
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"samples": ["encode", 0],
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"mask": ["area_mask", 0]
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}
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},
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"redraw": {
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"class_type": "KSampler",
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"like": "$sampler",
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"inputs": {
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"model": ["soft", 0],
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"positive": ["second_positive", 0],
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"negative": ["second_negative", 0],
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"latent_image": ["area", 0],
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"denoise": 0.45
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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": ["redraw", 0],
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"vae": ["second_model", 2]
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}
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},
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"paste": {
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"class_type": "ImageCompositeMasked",
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"inputs": {
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"destination": ["$save.images", "*"],
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"source": ["decode", 0],
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"x": 0,
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"y": 0,
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"resize_source": false,
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"mask": ["area_mask", 0]
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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": ["paste", 0],
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"filename_prefix": "refined_character"
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}
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},
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"look": {
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"class_type": "PreviewImage",
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"inputs": {
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"images": ["fade", 0]
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}
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}
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},
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"after": "The redraw's loader (second_model) starts as the same checkpoint: set_model it to the model the user wants for the character (ask_user, search_models), add_lora a character or style LoRA onto it if they want one, and write its prompts (second_positive, second_negative, copied from the first) in that model's style. Then run_workflow; the picture is saved beside it (prefix refined_character), the scene the same to the pixel. Denoise 0.45: face, hair and clothes take the second model's look and the pose stays; 0.3 changes little; at 0.6 the face changes more and colours fade. The preview shows what is redrawn (white, fading at the edge): part of the character missing, or the background in it, say so.",
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"gives": {
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"sampler": "redraw",
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"save": "save"
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},
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"own_model": {
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"nodes": ["second_model"],
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"copies_loras": false
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},
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"notes": "The character's mask grows 12 px and is blurred about 15 px, so the redraw fades out at its edge; Differential Diffusion makes the mask's grey a weaker redraw, and the paste-back keeps everything outside it as it was. In the 2026-11-10 comparison (an Anima picture, RealSkin redrawing the character) this way at 0.45 changed the character about 5.5% on average and the scene 0.03%; the coat stayed on the bench. A small character in a wide picture gets few pixels for its face: repaint it (inpaint_crop_stitch) instead. The cut-out takes what stands out in front, often with what the character sits on or holds (a bench, an umbrella, a bag): redrawn with it, so where they touch still fits.",
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"models": [],
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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": "2026-11-10",
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"runs": [
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{
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"model": "Anima (Harem 2.9B, then RealSkin 1.3 on the character, denoise 0.45)",
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"size": "1440×1024",
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"seconds": 242
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}
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]
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},
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"variants": {
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"anima": {
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"nodes": {
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"second_model": {
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"class_type": "UNETLoader",
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"like": "$loader",
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"inputs": {}
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},
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"cut": {
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"class_type": "InspyrenetRembg",
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"inputs": {
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"image": ["$save.images", "*"],
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"torchscript_jit": "default"
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}
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},
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"solid": {
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"class_type": "ThresholdMask",
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"inputs": {
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"mask": ["cut", 1],
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"value": 0.5
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}
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},
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"edge": {
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"class_type": "GrowMask",
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"inputs": {
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"mask": ["solid", 0],
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"expand": 12,
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"tapered_corners": true
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}
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},
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"as_picture": {
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"class_type": "MaskToImage",
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"inputs": {
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"mask": ["edge", 0]
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}
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},
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"fade": {
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"class_type": "ImageBlur",
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"inputs": {
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"image": ["as_picture", 0],
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"blur_radius": 31,
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"sigma": 0.5
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}
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},
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"area_mask": {
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"class_type": "ImageToMask",
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"inputs": {
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"image": ["fade", 0],
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"channel": "red"
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}
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},
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"soft": {
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"class_type": "DifferentialDiffusion",
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"inputs": {
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"model": ["second_model", 0]
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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": ["$save.images", "*"],
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"vae": ["$decode.vae", "*"]
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}
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},
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"area": {
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"class_type": "SetLatentNoiseMask",
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"inputs": {
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"samples": ["encode", 0],
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"mask": ["area_mask", 0]
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}
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},
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"redraw": {
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"class_type": "KSampler",
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"like": "$sampler",
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"inputs": {
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"model": ["soft", 0],
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"positive": ["$sampler.positive", "*"],
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"negative": ["$sampler.negative", "*"],
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"latent_image": ["area", 0],
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"denoise": 0.45
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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": ["redraw", 0],
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"vae": ["$decode.vae", "*"]
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}
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},
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"paste": {
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"class_type": "ImageCompositeMasked",
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"inputs": {
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"destination": ["$save.images", "*"],
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"source": ["decode", 0],
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"x": 0,
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"y": 0,
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"resize_source": false,
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"mask": ["area_mask", 0]
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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": ["paste", 0],
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"filename_prefix": "refined_character"
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}
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},
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"look": {
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"class_type": "PreviewImage",
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"inputs": {
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"images": ["fade", 0]
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}
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}
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},
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"after": "On this Anima model the redraw's loader (second_model) is a UNET loader that starts as the canvas's model; it reuses the canvas's text encoder, VAE and prompts. set_model it to the other Anima model the user wants for the character (ask_user, search_models); a LoRA on the first model is not on it: add_lora it onto second_model when the user wants that look kept. Then run_workflow; the picture is saved beside it (prefix refined_character), the scene the same to the pixel. Denoise 0.45: face, hair and clothes take the second model's look and the pose stays; 0.3 changes little; at 0.6 the face changes more and colours fade. The preview shows what is redrawn (white, fading at the edge): part of the character missing, or the background in it, say so."
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}
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}
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}
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