Ultimate SD Upscale is an extension for the AUTOMATIC1111 Stable Diffusion web interface.

github.com/Coyote-A/ultimate-upscale-for-autom…
Upscaling homepage screenshot

About Upscaling

Ultimate SD Upscale is an open source extension for the AUTOMATIC1111 Stable Diffusion web interface. It upscales images by processing them in tiles, with settings for tile size, padding, mask blur, denoise strength, and the upscaler model. An optional seams fix pass is available to reduce visible boundaries between tiles. The README includes example outputs at 2k and 4k with their settings, and a script API for calling the upscaler programmatically.

The project is licensed under GPL-3.0 and is hosted on GitHub. It requires the AUTOMATIC1111 web interface, since it is an extension for that tool. A separate ComfyUI implementation is linked in the README as a different project. The README states that a large denoise value (0.3 to 0.5) can be used without generating many artifacts, and that it works on any video card when a 512x512 tile size is used. These are the author's stated claims, and the README does not provide independent measurements for them. Instructions are kept on the project wiki.

Key features

  • Tiled upscaling with configurable tile size, padding, and mask blur
  • Choice of upscaler models, including ESRGAN, R-ESRGAN, SwinIR, and ScuNET
  • Optional seams fix pass with band pass or half-tile offset options
  • Redraw modes for tile processing: linear, chess, or none
  • Target size set from img2img settings, a custom size, or a scale factor
  • Script API for calling the upscaler with documented arguments
Best for: Users of the AUTOMATIC1111 Stable Diffusion web interface who want to increase the resolution of generated or existing images.
Good for
  • Open source under the GPL-3.0 license
  • README includes example outputs at 2k and 4k with their exact settings
  • Instructions are maintained on a project wiki
Watch out for
  • Requires the AUTOMATIC1111 Stable Diffusion web interface
  • The ComfyUI version is a separate project, not part of this repository

Upscaling at a glance

Type
Open-source project
Pricing
Not confirmed. Check the site
Open source
Yes · Source code
Language
English
Last checked
Oct 6, 2026 · Online when checked
Listed
Oct 5, 2026

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Upscaling FAQ

Which upscaler models can be selected?
The API documentation lists None, Lanczos, Nearest, ESRGAN_4x, LDSR, R-ESRGAN_4x+, R-ESRGAN 4x+ Anime6B, ScuNET GAN, ScuNET PSNR, and SwinIR 4x.
What denoise values does the README suggest?
The README states that a large denoise of 0.3 to 0.5 can be used. Its example outputs use denoise values of 0.35 and 0.4.
Is there a version for ComfyUI?
The README links to a separate implementation for ComfyUI in a different repository.
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