{
  "1": {
    "_meta": {
      "title": "Source Image"
    },
    "class_type": "LoadImage",
    "inputs": {
      "image": "example.png"
    }
  },
  "10": {
    "_meta": {
      "title": "Resize to fit target"
    },
    "class_type": "ImageScale",
    "inputs": {
      "crop": "disabled",
      "height": [
        "9",
        0
      ],
      "image": [
        "1",
        0
      ],
      "upscale_method": "lanczos",
      "width": [
        "8",
        0
      ]
    }
  },
  "11": {
    "_meta": {
      "title": "pad left"
    },
    "class_type": "MathExpression|pysssss",
    "inputs": {
      "a": [
        "10",
        0
      ],
      "b": [
        "2",
        0
      ],
      "c": [
        "4",
        0
      ],
      "expression": "max(floor((b - a.width) * c), 0)"
    }
  },
  "12": {
    "_meta": {
      "title": "pad right"
    },
    "class_type": "MathExpression|pysssss",
    "inputs": {
      "a": [
        "10",
        0
      ],
      "b": [
        "2",
        0
      ],
      "c": [
        "11",
        0
      ],
      "expression": "max(b - a.width - c, 0)"
    }
  },
  "13": {
    "_meta": {
      "title": "pad top"
    },
    "class_type": "MathExpression|pysssss",
    "inputs": {
      "a": [
        "10",
        0
      ],
      "b": [
        "3",
        0
      ],
      "c": [
        "5",
        0
      ],
      "expression": "max(floor((b - a.height) * c), 0)"
    }
  },
  "14": {
    "_meta": {
      "title": "pad bottom"
    },
    "class_type": "MathExpression|pysssss",
    "inputs": {
      "a": [
        "10",
        0
      ],
      "b": [
        "3",
        0
      ],
      "c": [
        "13",
        0
      ],
      "expression": "max(b - a.height - c, 0)"
    }
  },
  "15": {
    "_meta": {
      "title": "Pad to exact target"
    },
    "class_type": "ImagePadForOutpaint",
    "inputs": {
      "bottom": [
        "14",
        0
      ],
      "feathering": [
        "6",
        0
      ],
      "image": [
        "10",
        0
      ],
      "left": [
        "11",
        0
      ],
      "right": [
        "12",
        0
      ],
      "top": [
        "13",
        0
      ]
    }
  },
  "16": {
    "_meta": {
      "title": "keep-region mask"
    },
    "class_type": "InvertMask",
    "inputs": {
      "mask": [
        "15",
        1
      ]
    }
  },
  "17": {
    "class_type": "UNETLoader",
    "inputs": {
      "unet_name": "qwen_image_edit_2511_bf16.safetensors",
      "weight_dtype": "default"
    }
  },
  "18": {
    "_meta": {
      "title": "Lightning 8-step LoRA"
    },
    "class_type": "LoraLoaderModelOnly",
    "inputs": {
      "lora_name": "Qwen-Image-Edit-2511-Lightning-8steps-V1.0-bf16.safetensors",
      "model": [
        "17",
        0
      ],
      "strength_model": 1.0
    }
  },
  "19": {
    "class_type": "ModelSamplingAuraFlow",
    "inputs": {
      "model": [
        "18",
        0
      ],
      "shift": 3.1
    }
  },
  "2": {
    "_meta": {
      "title": "target_width"
    },
    "class_type": "PrimitiveInt",
    "inputs": {
      "value": 1216
    }
  },
  "20": {
    "class_type": "CFGNorm",
    "inputs": {
      "model": [
        "19",
        0
      ],
      "pre_cfg": false,
      "strength": 1.0
    }
  },
  "21": {
    "_meta": {
      "title": "Gradient-strength denoise (seam blend)"
    },
    "class_type": "DifferentialDiffusion",
    "inputs": {
      "model": [
        "20",
        0
      ],
      "strength": 1.0
    }
  },
  "22": {
    "class_type": "CLIPLoader",
    "inputs": {
      "clip_name": "qwen_2.5_vl_7b.safetensors",
      "device": "default",
      "type": "qwen_image"
    }
  },
  "23": {
    "class_type": "VAELoader",
    "inputs": {
      "vae_name": "qwen_image_vae.safetensors"
    }
  },
  "24": {
    "_meta": {
      "title": "Prompt"
    },
    "class_type": "PrimitiveStringMultiline",
    "inputs": {
      "value": "Extend the photo beyond its original borders, continuing the scene seamlessly and photorealistically. Keep the original area exactly unchanged. Consistent lighting, colors and perspective. High quality, sharp details."
    }
  },
  "25": {
    "_meta": {
      "title": "process_long_side (sampling res cap)"
    },
    "class_type": "PrimitiveInt",
    "inputs": {
      "value": 1344
    }
  },
  "26": {
    "_meta": {
      "title": "process scale"
    },
    "class_type": "MathExpression|pysssss",
    "inputs": {
      "a": [
        "15",
        0
      ],
      "c": [
        "25",
        0
      ],
      "expression": "min(1, c / max(a.width, a.height))"
    }
  },
  "27": {
    "_meta": {
      "title": "work width"
    },
    "class_type": "MathExpression|pysssss",
    "inputs": {
      "a": [
        "15",
        0
      ],
      "b": [
        "26",
        1
      ],
      "expression": "round(a.width * b / 16) * 16"
    }
  },
  "28": {
    "_meta": {
      "title": "work height"
    },
    "class_type": "MathExpression|pysssss",
    "inputs": {
      "a": [
        "15",
        0
      ],
      "b": [
        "26",
        1
      ],
      "expression": "round(a.height * b / 16) * 16"
    }
  },
  "29": {
    "_meta": {
      "title": "Downscale for sampling"
    },
    "class_type": "ImageScale",
    "inputs": {
      "crop": "disabled",
      "height": [
        "28",
        0
      ],
      "image": [
        "15",
        0
      ],
      "upscale_method": "lanczos",
      "width": [
        "27",
        0
      ]
    }
  },
  "3": {
    "_meta": {
      "title": "target_height"
    },
    "class_type": "PrimitiveInt",
    "inputs": {
      "value": 1216
    }
  },
  "30": {
    "class_type": "MaskToImage",
    "inputs": {
      "mask": [
        "15",
        1
      ]
    }
  },
  "31": {
    "_meta": {
      "title": "Downscale mask"
    },
    "class_type": "ImageScale",
    "inputs": {
      "crop": "disabled",
      "height": [
        "28",
        0
      ],
      "image": [
        "30",
        0
      ],
      "upscale_method": "bilinear",
      "width": [
        "27",
        0
      ]
    }
  },
  "32": {
    "class_type": "ImageToMask",
    "inputs": {
      "channel": "red",
      "image": [
        "31",
        0
      ]
    }
  },
  "33": {
    "_meta": {
      "title": "Qwen Edit encode (pass 1)"
    },
    "class_type": "TextEncodeQwenImageEditPlus",
    "inputs": {
      "clip": [
        "22",
        0
      ],
      "image1": [
        "29",
        0
      ],
      "prompt": [
        "24",
        0
      ],
      "vae": [
        "23",
        0
      ]
    }
  },
  "34": {
    "class_type": "ConditioningZeroOut",
    "inputs": {
      "conditioning": [
        "33",
        0
      ]
    }
  },
  "35": {
    "class_type": "VAEEncode",
    "inputs": {
      "pixels": [
        "29",
        0
      ],
      "vae": [
        "23",
        0
      ]
    }
  },
  "36": {
    "class_type": "SetLatentNoiseMask",
    "inputs": {
      "mask": [
        "32",
        0
      ],
      "samples": [
        "35",
        0
      ]
    }
  },
  "37": {
    "_meta": {
      "title": "Pass 1: outpaint (working res)"
    },
    "class_type": "KSampler",
    "inputs": {
      "cfg": 1.0,
      "denoise": 1.0,
      "latent_image": [
        "36",
        0
      ],
      "model": [
        "21",
        0
      ],
      "negative": [
        "34",
        0
      ],
      "positive": [
        "33",
        0
      ],
      "sampler_name": "euler",
      "scheduler": "simple",
      "seed": 0,
      "steps": 8
    }
  },
  "38": {
    "class_type": "VAEDecode",
    "inputs": {
      "samples": [
        "37",
        0
      ],
      "vae": [
        "23",
        0
      ]
    }
  },
  "39": {
    "class_type": "UpscaleModelLoader",
    "inputs": {
      "model_name": "RealESRGAN_x4plus.pth"
    }
  },
  "4": {
    "_meta": {
      "title": "anchor_x (0=left 0.5=center 1=right)"
    },
    "class_type": "PrimitiveFloat",
    "inputs": {
      "value": 0.5
    }
  },
  "40": {
    "class_type": "ImageUpscaleWithModel",
    "inputs": {
      "image": [
        "38",
        0
      ],
      "upscale_model": [
        "39",
        0
      ]
    }
  },
  "41": {
    "_meta": {
      "title": "Pass 1 result at target res"
    },
    "class_type": "ImageScale",
    "inputs": {
      "crop": "disabled",
      "height": [
        "3",
        0
      ],
      "image": [
        "40",
        0
      ],
      "upscale_method": "lanczos",
      "width": [
        "2",
        0
      ]
    }
  },
  "42": {
    "_meta": {
      "title": "Qwen Edit encode (pass 2)"
    },
    "class_type": "TextEncodeQwenImageEditPlus",
    "inputs": {
      "clip": [
        "22",
        0
      ],
      "image1": [
        "41",
        0
      ],
      "prompt": [
        "24",
        0
      ],
      "vae": [
        "23",
        0
      ]
    }
  },
  "43": {
    "class_type": "ConditioningZeroOut",
    "inputs": {
      "conditioning": [
        "42",
        0
      ]
    }
  },
  "44": {
    "_meta": {
      "title": "Refine mask (fill + blend band)"
    },
    "class_type": "GrowMaskWithBlur",
    "inputs": {
      "blur_radius": 12.0,
      "decay_factor": 1.0,
      "expand": 8,
      "fill_holes": false,
      "flip_input": false,
      "incremental_expandrate": 0.0,
      "lerp_alpha": 1.0,
      "mask": [
        "15",
        1
      ],
      "tapered_corners": true
    }
  },
  "45": {
    "class_type": "VAEEncode",
    "inputs": {
      "pixels": [
        "41",
        0
      ],
      "vae": [
        "23",
        0
      ]
    }
  },
  "46": {
    "class_type": "SetLatentNoiseMask",
    "inputs": {
      "mask": [
        "44",
        0
      ],
      "samples": [
        "45",
        0
      ]
    }
  },
  "47": {
    "_meta": {
      "title": "refine_denoise (texture strength)"
    },
    "class_type": "PrimitiveFloat",
    "inputs": {
      "value": 0.35
    }
  },
  "48": {
    "_meta": {
      "title": "Pass 2: native-res refine"
    },
    "class_type": "KSampler",
    "inputs": {
      "cfg": 1.0,
      "denoise": [
        "47",
        0
      ],
      "latent_image": [
        "46",
        0
      ],
      "model": [
        "21",
        0
      ],
      "negative": [
        "43",
        0
      ],
      "positive": [
        "42",
        0
      ],
      "sampler_name": "euler",
      "scheduler": "simple",
      "seed": 0,
      "steps": 8
    }
  },
  "49": {
    "class_type": "VAEDecode",
    "inputs": {
      "samples": [
        "48",
        0
      ],
      "vae": [
        "23",
        0
      ]
    }
  },
  "5": {
    "_meta": {
      "title": "anchor_y (0=top 0.5=center 1=bottom)"
    },
    "class_type": "PrimitiveFloat",
    "inputs": {
      "value": 0.5
    }
  },
  "50": {
    "_meta": {
      "title": "Snap to exact target dims"
    },
    "class_type": "ImageScale",
    "inputs": {
      "crop": "disabled",
      "height": [
        "3",
        0
      ],
      "image": [
        "49",
        0
      ],
      "upscale_method": "lanczos",
      "width": [
        "2",
        0
      ]
    }
  },
  "51": {
    "_meta": {
      "title": "Match fill tones to original"
    },
    "class_type": "ColorMatch",
    "inputs": {
      "image_ref": [
        "10",
        0
      ],
      "image_target": [
        "50",
        0
      ],
      "method": "mkl",
      "multithread": true,
      "strength": 1.0
    }
  },
  "52": {
    "_meta": {
      "title": "fill_grain (match photo noise, 0=off)"
    },
    "class_type": "PrimitiveFloat",
    "inputs": {
      "value": 0.03
    }
  },
  "53": {
    "_meta": {
      "title": "Grain the fill to match original"
    },
    "class_type": "ImageAddNoise",
    "inputs": {
      "image": [
        "51",
        0
      ],
      "seed": 0,
      "strength": [
        "52",
        0
      ]
    }
  },
  "54": {
    "_meta": {
      "title": "Paste original pixels back"
    },
    "class_type": "ImageCompositeMasked",
    "inputs": {
      "destination": [
        "53",
        0
      ],
      "mask": [
        "16",
        0
      ],
      "resize_source": false,
      "source": [
        "15",
        0
      ],
      "x": 0,
      "y": 0
    }
  },
  "55": {
    "class_type": "SaveImage",
    "inputs": {
      "filename_prefix": "outpaint/qwen-hq",
      "images": [
        "54",
        0
      ]
    }
  },
  "6": {
    "_meta": {
      "title": "feathering (px)"
    },
    "class_type": "PrimitiveInt",
    "inputs": {
      "value": 64
    }
  },
  "7": {
    "_meta": {
      "title": "fit scale"
    },
    "class_type": "MathExpression|pysssss",
    "inputs": {
      "a": [
        "1",
        0
      ],
      "b": [
        "2",
        0
      ],
      "c": [
        "3",
        0
      ],
      "expression": "min(b / a.width, c / a.height)"
    }
  },
  "8": {
    "_meta": {
      "title": "fit width"
    },
    "class_type": "MathExpression|pysssss",
    "inputs": {
      "a": [
        "1",
        0
      ],
      "b": [
        "7",
        1
      ],
      "c": [
        "2",
        0
      ],
      "expression": "min(round(a.width * b), c)"
    }
  },
  "9": {
    "_meta": {
      "title": "fit height"
    },
    "class_type": "MathExpression|pysssss",
    "inputs": {
      "a": [
        "1",
        0
      ],
      "b": [
        "7",
        1
      ],
      "c": [
        "3",
        0
      ],
      "expression": "min(round(a.height * b), c)"
    }
  }
}