{ "job": "upscale", "rank": 1, "short": "1.25×", "title": { "zh": "放大", "en": "Upscale" }, "about": { "zh": "用放大模型放到 1.25 倍,再轻轻重画补细节。", "en": "An upscale model to 1.25×, then a light redraw for detail." }, "source": { "zh": "参考工作流的「通用放大」组", "en": "The reference workflow's general upscale group" }, "packs": {}, "upscaler": true, "after": "run_workflow saves the picture as before and the larger one beside it (prefix upscaled). The redraw sampler has the first one's steps and cfg at denoise 0.35: lower keeps more of the picture, higher adds more (and above 0.5 may change it). For 2× or more use upscale_tiled.", "gives": { "sampler": "redraw", "save": "save" }, "notes": "1.25× and denoise 0.35: the source used 1.25 and 0.32; its author says more than 1.5× goes wrong, and 1.5× of 832×1216 is too much for a 6 GB card. ColorMatch mkl after the redraw is the source's, optional (KJNodes).", "upscale_by": 1.25, "nodes": { "upscaler": { "class_type": "UpscaleModelLoader", "inputs": { "model_name": "$upscaler" } }, "enlarge": { "class_type": "ImageUpscaleWithModel", "inputs": { "upscale_model": [ "upscaler", 0 ], "image": [ "$save.images", "*" ] } }, "fit": { "class_type": "ImageScaleBy", "inputs": { "image": [ "enlarge", 0 ], "upscale_method": "lanczos", "scale_by": "$fit" } }, "encode": { "class_type": "VAEEncode", "inputs": { "pixels": [ "fit", 0 ], "vae": [ "$decode.vae", "*" ] } }, "redraw": { "class_type": "KSampler", "like": "$sampler", "inputs": { "model": [ "$sampler.model", "*" ], "positive": [ "$sampler.positive", "*" ], "negative": [ "$sampler.negative", "*" ], "latent_image": [ "encode", 0 ], "denoise": 0.35 } }, "decode": { "class_type": "VAEDecode", "inputs": { "samples": [ "redraw", 0 ], "vae": [ "$decode.vae", "*" ] } }, "match": { "class_type": "ColorMatch", "optional": true, "inputs": { "image_ref": [ "fit", 0 ], "image_target": [ "decode", 0 ], "method": "mkl", "strength": 1.0, "multithread": true } }, "save": { "class_type": "SaveImage", "inputs": { "images": [ "match|decode", 0 ], "filename_prefix": "upscaled" } } }, "extras": { "ColorMatch": "ComfyUI-KJNodes" }, "models": [ "2x_animesharp_v4", "4x_ultrasharp", "4x_animesharp" ], "tested": { "gpu": "RTX 4050 Laptop", "vram_gb": 6, "date": "2026-10-27", "runs": [ { "model": "SDXL (Illustrious)", "size": "832×1216 → 1.25×", "seconds": 43 } ] } }