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Image generation & editing

LoganBooker/SesquiLSR

Arbitrary scale latent upscaler for SDXL, Flux, Flux2, and Wan 2.1/Anima/Qwen Image. Supports fractional scaling up to 2.0x. Includes ComfyUI node and pretrained weights.

MITPython
Open on GitHub
Stars
114
Forks
7
Open issues
3
Last push
16d ago

About SesquiLSR

SesquiLSR is a free, open-source AI image tool by LoganBooker, written mainly in Python. Arbitrary scale latent upscaler for SDXL, Flux, Flux2, and Wan 2.1/Anima/Qwen Image. Supports fractional scaling up to 2.0x. Includes ComfyUI node and pretrained weights. It has 114 GitHub stars and 7 forks, and was last updated 16d ago. It's released under the MIT license, a standard open-source license.

License
MIT
Language
Python
Stars
114
Last update
16d ago
Runs on Mac
Not stated
GPU
Not stated
Paid API key
Not stated
Self-hostable
Not stated

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SesquiLSR FAQ

Is SesquiLSR free?

Yes. SesquiLSR is open source and free to use. It's released under the MIT license, a standard open-source license.

Does SesquiLSR run on a Mac?

The project doesn't say. Check its installation guide before you start.

Does SesquiLSR need a GPU?

The project doesn't state hardware needs. AI models generally run much faster with a GPU.

Is SesquiLSR still maintained?

Yes. It was last updated 16d ago and has 3 open issues on GitHub.

What are alternatives to SesquiLSR?

Similar free, open-source tools include stable-diffusion-webui, diffusers, ComfyUI, stable-diffusion-webui-colab.

Related topics

comfyuilatent-diffusionlatent-spacestable-diffusionsuper-resolutionupscalerupscalingupscale