{
  "job": "upscale",
  "want": "steps",
  "rank": 2,
  "short": "3 steps",
  "title": {
    "zh": "迭代放大",
    "en": "Iterative upscale"
  },
  "about": {
    "zh": "分三步放大到 1.3 倍，每步都重画一遍。",
    "en": "To 1.3× in three steps, redrawn at each."
  },
  "source": {
    "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）",
    "en": "The reference workflow's iterative upscale group (its noise boost needs ComfyUI Noise, left out)"
  },
  "packs": {
    "PixelKSampleUpscalerProvider": "ComfyUI-Impact-Pack",
    "IterativeImageUpscale": "ComfyUI-Impact-Pack"
  },
  "instead": "upscale",
  "upscaler": true,
  "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.",
  "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).",
  "extras": {
    "ColorMatch": "ComfyUI-KJNodes"
  },
  "upscale_by": 1.3,
  "nodes": {
    "upscaler": {
      "class_type": "UpscaleModelLoader",
      "inputs": {
        "model_name": "$upscaler"
      }
    },
    "redraw": {
      "class_type": "PixelKSampleUpscalerProvider",
      "like": "$sampler",
      "inputs": {
        "scale_method": "lanczos",
        "model": [
          "$sampler.model",
          "*"
        ],
        "vae": [
          "$decode.vae",
          "*"
        ],
        "positive": [
          "$sampler.positive",
          "*"
        ],
        "negative": [
          "$sampler.negative",
          "*"
        ],
        "denoise": 0.3,
        "use_tiled_vae": false,
        "tile_size": 1024,
        "upscale_model_opt": [
          "upscaler",
          0
        ]
      }
    },
    "steps": {
      "class_type": "IterativeImageUpscale",
      "inputs": {
        "pixels": [
          "$save.images",
          "*"
        ],
        "upscale_factor": 1.3,
        "steps": 3,
        "temp_prefix": "",
        "upscaler": [
          "redraw",
          0
        ],
        "vae": [
          "$decode.vae",
          "*"
        ],
        "step_mode": "geometric",
        "vae_compression": 8
      }
    },
    "match": {
      "class_type": "ColorMatch",
      "optional": true,
      "inputs": {
        "image_ref": [
          "$save.images",
          "*"
        ],
        "image_target": [
          "steps",
          0
        ],
        "method": "mkl",
        "strength": 1.0,
        "multithread": true
      }
    },
    "save": {
      "class_type": "SaveImage",
      "inputs": {
        "images": [
          "match|steps",
          0
        ],
        "filename_prefix": "upscaled"
      }
    }
  },
  "models": [
    "2x_animesharp_v4",
    "4x_ultrasharp"
  ],
  "tested": {
    "gpu": "RTX 4050 Laptop",
    "vram_gb": 6,
    "date": "2026-10-27",
    "runs": [
      {
        "model": "SDXL (Illustrious)",
        "size": "832×1216 → 1.3×",
        "seconds": 157
      }
    ]
  }
}