DemonGatanjieuandClaude Opus 5.5
eab141f971
Upscale held by Tile takes in the tile upscale, the Anima Tile detail upscale and the second-model upscale: its redraw has its own copy of the canvas's model line (copy_of "$sampler.model": loader and LoRAs, titled "Upscale model"), so a second model is one set_model and the LoRAs stay; on Anima it is the user's tested route (latent 1.22x, Tile LLLite, denoise 0.85). The iterative upscale goes. add_nodes no longer lists every block name, and the repaint hints name the use, not a block. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
340 lines
8.9 KiB
JSON
340 lines
8.9 KiB
JSON
{
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"job": "upscale",
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"want": "detail",
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"rank": 2,
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"short": "held by Tile, own model",
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"title": {
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"zh": "Tile 锁图放大",
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"en": "Upscale held by Tile"
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},
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"about": {
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"zh": "放大时用 Tile 钉住画面，重画得更狠、细节更多。放大这一段有自己的一份模型（默认和底图同一个，LoRA 一起带上），想换第二个模型只要换这一格；Anima 上用 Anima 的 Tile LLLite。",
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"en": "A Tile holds the picture while it is enlarged and redrawn, so the redraw can go stronger: more detail. The redraw has its own copy of the model (the base's, its LoRAs too); a second model is one swap of that loader. On Anima, Anima's Tile LLLite holds it."
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},
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"source": {
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"zh": "参考工作流的「通用放大」组（平铺控制网 0.6，到 80% 的步数）和它的放大加载器；Anima 是你验证过的两段放大卡（潜空间 1.22 倍 + Tile LLLite，降噪 0.85）",
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"en": "The reference workflow's general upscale (tile ControlNet 0.6, to 80% of the steps) and its upscale loader; on Anima the user's tested two-pass card (latent 1.22x, Tile LLLite, denoise 0.85)"
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},
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"packs": {},
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"upscaler": true,
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"upscale_by": 1.25,
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"control": "tile",
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"extras": {
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"ColorMatch": "ComfyUI-KJNodes"
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},
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"nodes": {
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"own": {
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"class_type": "CheckpointLoaderSimple",
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"copy_of": "$sampler.model",
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"_meta": {
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"title": "Upscale model"
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},
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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": "$fit"
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}
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},
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"controlnet": {
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"class_type": "ControlNetLoader",
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"inputs": {
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"control_net_name": "$controlnet"
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}
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},
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"hold": {
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"class_type": "ControlNetApplyAdvanced",
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"inputs": {
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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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"control_net": [
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"controlnet",
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0
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],
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"image": [
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"fit",
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0
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],
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"vae": [
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"$decode.vae",
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"*"
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],
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"strength": 0.6,
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"start_percent": 0.0,
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"end_percent": 0.8
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}
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},
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"encode": {
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"class_type": "VAEEncode",
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"inputs": {
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"pixels": [
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"fit",
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0
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],
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"vae": [
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"$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": "$sampler",
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"inputs": {
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"model": [
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"own",
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0
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],
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"positive": [
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"hold",
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0
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],
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"negative": [
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"hold",
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1
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],
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"latent_image": [
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"encode",
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0
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],
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"denoise": 0.5
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}
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},
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"decode": {
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"class_type": "VAEDecode",
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"inputs": {
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"samples": [
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"redraw",
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0
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],
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"vae": [
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"$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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"variants": {
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"anima": {
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"packs": {
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"AnimaLLLiteApply_sdscripts": "ComfyUI-Anima-LLLite"
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},
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"upscaler": false,
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"control": null,
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"lllite": "tile",
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"nodes": {
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"own": {
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"class_type": "UNETLoader",
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"copy_of": "$sampler.model",
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"_meta": {
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"title": "Upscale model"
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},
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"inputs": {}
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},
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"encode": {
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"class_type": "VAEEncodeTiled",
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"inputs": {
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"pixels": [
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"$save.images",
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"*"
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],
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"vae": [
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"$decode.vae",
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"*"
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],
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"tile_size": 512,
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"overlap": 64,
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"temporal_size": 64,
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"temporal_overlap": 8
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}
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},
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"enlarge": {
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"class_type": "LatentUpscaleBy",
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"inputs": {
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"samples": [
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"encode",
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0
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],
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"upscale_method": "bislerp",
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"scale_by": 1.22
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}
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},
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"tile": {
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"class_type": "AnimaLLLiteApply_sdscripts",
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"inputs": {
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"model": [
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"own",
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0
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],
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"lllite_name": "$lllite",
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"image": [
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"$save.images",
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"*"
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],
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"strength": 0.7,
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"start_percent": 0.0,
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"end_percent": 0.8,
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"preserve_wrapper": true
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}
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},
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"redraw": {
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"class_type": "KSampler",
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"like": "$sampler",
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"inputs": {
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"model": [
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"tile",
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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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"enlarge",
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0
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],
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"steps": 30,
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"cfg": 4.4,
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"sampler_name": "dpmpp_2m_sde_gpu",
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"scheduler": "sgm_uniform",
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"denoise": 0.85
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}
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},
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"decode": {
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"class_type": "VAEDecodeTiled",
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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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"$decode.vae",
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"*"
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],
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"tile_size": 512,
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"overlap": 64,
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"temporal_size": 64,
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"temporal_overlap": 8
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}
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},
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"match": {
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"class_type": "ColorMatch",
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"optional": true,
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"inputs": {
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"image_ref": [
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"$save.images",
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"*"
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],
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"image_target": [
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"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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"after": "On this Anima model the picture is enlarged 1.22x in latent space and redrawn at denoise 0.85, held by Anima's Tile LLLite (0.7, to 80% of the steps), with its own copy of the canvas's model and LoRAs (the loader titled Upscale model). For a second model (steadier, other skin or texture), set_model that loader to another Anima model; the LoRAs stay. Then run_workflow; the larger one is saved beside it (prefix upscaled). Compare face, hands and clothes with the base: Tile guides, it does not guarantee."
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}
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},
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"after": "run_workflow saves the picture as before and the 1.25x one beside it (prefix upscaled): a tile ControlNet holds it (strength 0.6, to 80% of the steps) while it is redrawn at denoise 0.5 with its own copy of the canvas's model and LoRAs (the loader titled Upscale model). For a second model (steadier, another look), set_model that loader to one of the same family (it reuses the first model's prompts); the LoRAs stay. Lower the denoise if it changes too much, raise the strength to hold it closer.",
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"notes": "The source's tile values; denoise 0.5 because the tile holds the picture. The redraw's own model line replaced the separate second-model way (2026-11-04): same model by default, one swap for another. On Anima the user's tested route: Harem 1.5 base, Realskin 1.3 for the Tile upscale, its style LoRA on both, 832x1216 to 1016x1480, 116 s for the upscale on 6 GB.",
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"models": [
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"union_promax_sdxl",
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"noob_tile",
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"anima_tile_repair",
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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": "2026-11-02",
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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": 77
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},
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{
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"model": "Anima (Kirazuri → Realskin 1.3, Tile)",
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"size": "1216×832 → 1.22×",
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"seconds": 127
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}
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]
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}
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}
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