tomesd 0.1.3

Token Merging for Stable Diffusion

Stars: 1220, Watchers: 1220, Forks: 75, Open Issues: 24

The dbolya/tomesd repo was created 1 years ago and the last code push was 5 months ago.
The project is very popular with an impressive 1220 github stars!

How to Install tomesd

You can install tomesd using pip

pip install tomesd

or add it to a project with poetry

poetry add tomesd

Package Details

Author

Daniel Bolya

License

MIT

Homepage

https://github.com/dbolya/tomesd

PyPi:

https://pypi.org/project/tomesd/

GitHub Repo:

https://github.com/dbolya/tomesd

Related Packages

Errors

A list of common tomesd errors.

Code Examples

Here are some tomesd code examples and snippets.

GitHub Issues

The tomesd package has 24 open issues on GitHub

• https://git.mmaker.moe/mmaker/sd-webui-tome link down
• Support torch.compile
• Analytical Results
• [Feature Request] Separate merge ratio, downscaling and stride per module.
• Added onnx friendly merging
• did tomesd work with AMD Gpus "AMD RX vega 56" in Linux with Rocm?
• Idea for Improvement
• I'M A SMOOTHBRAIN, NEED HELP
• Out of Memory when used with Tiled VAE
• No Module named 'tomesd'
• Request: Add compatiblity with ONNX (OnnxStableDiffusionPipeline)
• no speed up

See more issues on GitHub