DemonGatanjieuandClaude Opus 5.5
6ccb93e385
refine_other_model redraws the made picture at denoise 0.4 with a second
checkpoint of its own (any family: its own CLIP and VAE, prompts copied from
the first, LoRAs added onto it with add_lora) and saves it beside it
(prefix refined), as the reference workflow's refiner keeps a loader and
LoRA stack apart. Tried on an RTX 4050 6 GB, Illustrious then NoobAI at
832x1216: about 66 s for the whole run, the composition kept, the style the
second model's.
A block node may be "like" a path ("$sampler.positive"): it takes the
settings of the node feeding it.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
120 lines
3.4 KiB
JSON
120 lines
3.4 KiB
JSON
{
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"job": "upscale",
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"rank": 6,
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"short": "other model",
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"title": {
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"zh": "换模型精修",
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"en": "Refine with another model"
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},
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"about": {
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"zh": "出完图以后，换另一个模型（可以是别的家族，配它自己的 LoRA）把整张图轻轻重画一遍（强度 0.4），存成另一张。用来把一个模型的构图和另一个模型的画风、细节拼在一起。新模型有自己的提示词节点，先照抄原来的提示词。",
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"en": "After a picture is made, another model (another family too, with its own LoRAs) redraws the whole picture lightly (0.4) and saves it beside it: one model's composition with another's style and detail. The new model has prompts of its own, copied from the first."
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},
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"source": {
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"zh": "参考工作流的「Refiner 管线」：精修时可以换一个底模加载器，配一套独立的 LoRA 堆",
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"en": "The reference workflow's refiner: a base model loader of its own for refining, with a separate LoRA stack"
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},
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"packs": {},
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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": "$sampler.positive",
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"inputs": {
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"clip": [
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"second_model",
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1
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]
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}
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},
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"second_negative": {
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"class_type": "CLIPTextEncode",
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"like": "$sampler.negative",
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"inputs": {
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"clip": [
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"second_model",
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1
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]
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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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"$decode",
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0
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],
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"vae": [
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"second_model",
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2
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]
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}
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},
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"redraw": {
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"class_type": "KSampler",
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"like": "$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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"second_positive",
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0
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],
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"negative": [
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"second_negative",
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0
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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": 0.4
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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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"second_model",
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2
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]
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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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"decode",
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0
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],
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"filename_prefix": "refined"
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}
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}
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},
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"after": "The refine's loader (second_model) starts as the same checkpoint: set_model it to the one the user wants (ask_user, search_models), add_lora its own LoRAs onto it, and write its prompts (second_positive, second_negative, copied from the first) in that model's style. Another family may want other steps, cfg and sampler on redraw. Then run_workflow; the refined one is saved beside it (prefix refined). Denoise 0.4: lower keeps more of the first, higher takes more of the second.",
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"notes": "The source keeps a separate loader and LoRA stack for refining. Its own CLIP and VAE, so a model of another family works.",
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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": "2026-10-28",
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"runs": [
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{
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"model": "SDXL (Illustrious) → NoobAI",
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"size": "832×1216",
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"seconds": 66
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}
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]
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}
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}
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