Upscale — Latent 2× (hires fix) upscale

Generate at base resolution, upscale the latent 2×, then a second low-denoise KSampler pass for crisp detail. The classic "hires fix" pipeline.

Models: any SD1.5/SDXL checkpoint · 9 nodes

{
  "3": {
    "class_type": "KSampler",
    "inputs": {
      "seed": 0,
      "steps": 20,
      "cfg": 7,
      "sampler_name": "euler",
      "scheduler": "normal",
      "denoise": 1,
      "model": [
        "4",
        0
      ],
      "positive": [
        "6",
        0
      ],
      "negative": [
        "7",
        0
      ],
      "latent_image": [
        "5",
        0
      ]
    }
  },
  "4": {
    "class_type": "CheckpointLoaderSimple",
    "inputs": {
      "ckpt_name": "v1-5-pruned-emaonly.safetensors"
    }
  },
  "5": {
    "class_type": "EmptyLatentImage",
    "inputs": {
      "width": 512,
      "height": 512,
      "batch_size": 1
    }
  },
  "6": {
    "class_type": "CLIPTextEncode",
    "inputs": {
      "text": "an ornate manuscript page, illuminated, intricate detail",
      "clip": [
        "4",
        1
      ]
    }
  },
  "7": {
    "class_type": "CLIPTextEncode",
    "inputs": {
      "text": "blurry, low quality",
      "clip": [
        "4",
        1
      ]
    }
  },
  "8": {
    "class_type": "VAEDecode",
    "inputs": {
      "samples": [
        "11",
        0
      ],
      "vae": [
        "4",
        2
      ]
    }
  },
  "9": {
    "class_type": "SaveImage",
    "inputs": {
      "filename_prefix": "MELEK-hires",
      "images": [
        "8",
        0
      ]
    }
  },
  "10": {
    "class_type": "LatentUpscale",
    "inputs": {
      "upscale_method": "nearest-exact",
      "width": 1024,
      "height": 1024,
      "crop": "disabled",
      "samples": [
        "3",
        0
      ]
    }
  },
  "11": {
    "class_type": "KSampler",
    "inputs": {
      "seed": 0,
      "steps": 14,
      "cfg": 7,
      "sampler_name": "euler",
      "scheduler": "normal",
      "denoise": 0.5,
      "model": [
        "4",
        0
      ],
      "positive": [
        "6",
        0
      ],
      "negative": [
        "7",
        0
      ],
      "latent_image": [
        "10",
        0
      ]
    }
  }
}