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Training & fine-tuning

yuanchenyang/smalldiffusion

Simple and readable code for training and sampling from diffusion models

MITPython
Stars
794
Forks
71
Open issues
1
Last push
6mo ago

About smalldiffusion

smalldiffusion is a free, open-source machine learning tool by yuanchenyang, written mainly in Python. Simple and readable code for training and sampling from diffusion models. It has 794 GitHub stars and 71 forks, and was last updated 6mo ago. It's released under the MIT license, a standard open-source license.

License
MIT
Language
Python
Stars
794
Last update
6mo ago
Runs on Mac
Not stated
GPU
Not stated
Paid API key
Not stated
Self-hostable
Yes

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smalldiffusion FAQ

Is smalldiffusion free?

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

Does smalldiffusion run on a Mac?

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

Does smalldiffusion need a GPU?

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

Is smalldiffusion still maintained?

It was last updated 6mo ago. Check recent issues on GitHub to judge how active it is.

What are alternatives to smalldiffusion?

Similar free, open-source tools include pytorch-image-models, transformerlab-app, align-anything, finetrainers.

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