In this guide

Upscaling images with Ultimate SD Upscale

Ultimate SD Upscale is an Automatic1111 extension by Coyote-A. It is a very powerful wrapper around ControlNet tile, giving fine control over all of the parameters, including:

  • denoising strength (ie how much of the original image remains in the final result)
  • target image size
  • opting into a first-pass upscaler before using ControlNet tile (for example Real-ESRGAN)
  • the order that tiles are processed in, linear or chessboard. Chessboard can reduce unwanted seams from showing
  • the size of the tiles
  • the amount of padding around each tile
  • the amount of blur applied to the tile masks (to hide seams where tiles are restitched together)
  • options for fixing seams after the ControlNet tile upscaling is complete

It has also been ported to ComfyUI as a custom node by ssitu. We recommend this in our ComfyUI guide as a must-have custom node in your workflow.

An ultimate SD upscale workflow

User ‘fewjative’ has wrapped the ComfyUI custom node into a Replicate model that you can run with a production-ready API. Try out fewjative/ultimate-sd-upscale, or run it with an API using our guide below.

Alternatively, if you want to run your own customised ComfyUI workflow, one that incorporates Ultimate SD Upscale, you can use the fofr/any-comfyui-workflow model. Read our ComfyUI with an API guide to learn how.

We’ll use fewjative/ultimate-sd-upscale for this example.

Start with our official Python client and read our getting started with Python docs.

pip install replicate
export REPLICATE_API_TOKEN=<your-api-token>

Run fewjative/ultimate-sd-upscale:

import replicate

output = replicate.run(
    "fewjative/ultimate-sd-upscale:5daf1012d946160622cd1bd45ed8f12d9675d24659276ccfe24804035f3b3ad7",
    input={
        "image": "https://replicate.delivery/pbxt/KKOaCNy9baG5cUZfK3YvvePBqZeTxyvytifSo7pFOKLySQN2/ComfyUI_00004_.png",
        "steps": 20,
        "denoise": 0.4,
        "scheduler": "karras",
        "upscale_by": 2,
        "negative_prompt": "ugly, broken, weird",
        "positive_prompt": "a portrait photo of a cat in a green hoodie",
    }
)
print(output)

A more complete example, that incorporates all of the Ultimate SD Upscale parameters might look like this:

output = replicate.run(
    "fewjative/ultimate-sd-upscale:5daf1012d946160622cd1bd45ed8f12d9675d24659276ccfe24804035f3b3ad7",
    input={
        "cfg": 8,
        "image": "https://replicate.delivery/pbxt/KKOaCNy9baG5cUZfK3YvvePBqZeTxyvytifSo7pFOKLySQN2/ComfyUI_00004_.png",
        "positive_prompt": "a portrait photo of a cat in a green hoodie",
        "negative_prompt": "ugly, broken, weird",
        "steps": 20,
        "denoise": 0.4,
        "sampler_name": "euler",
        "scheduler": "karras",
        "upscale_by": 2,
        "upscaler": "4x-UltraSharp",
        "controlnet_strength": 1,
        "use_controlnet_tile": True
        "mask_blur": 8,
        "mode_type": "Linear",
        "tile_width": 512,
        "tile_height": 512,
        "tile_padding": 32,
        "force_uniform_tiles": True,
        "seam_fix_mode": "None",
        "seam_fix_width": 64,
        "seam_fix_denoise": 1,
        "seam_fix_padding": 16,
        "seam_fix_mask_blur": 8,
    }
)
print(output)

← Upscaling images with ControlNet tile

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