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Python library for designing and training your own Diffusion Models with PyTorch.

Results 14 modular-diffusion issues
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How to run the Unconditional Diffusion example on custom dataset without grayscale? It returns error whenever the dataset is not grayscaled

The pages in question are: - https://cabralpinto.github.io/modular-diffusion/guides/custom-modules/ - https://cabralpinto.github.io/modular-diffusion/modules/noise-type/ - https://cabralpinto.github.io/modular-diffusion/modules/loss-function/ The issue is caused by LaTeX expressions that don't fit smaller screens. I'm not quite sure how this could...

bug
documentation
help wanted

It'd be nice to have a dark button switch at the top for those more sensitive to bright lights.

documentation
enhancement
help wanted

Currently, we're using default Astro settings (Shiki with the `github-dark` theme). However, the syntax highlighting is clearly lacking, with many words not being highlighted. [Useful link](https://docs.astro.build/en/guides/markdown-content/#syntax-highlighting).

documentation
enhancement
help wanted

As the documentation states, the current implementations are neither the most effective or efficient. The U-Net implementation was adapted from the [The Annotated Diffusion Model](https://huggingface.co/blog/annotated-diffusion) and the Transformer implementation was...

enhancement
help wanted
question

As the library grows, it is important to make sure that nothing is broken when new features are added. After doing some research, I think a good way of doing...

enhancement
help wanted
question

The library currently only works for Python 3.10+ which might pose an inconvenience to some users.

enhancement

Add a documentation page explaining how standard image generation practices with Diffusion Models translate to Modular Diffusion.

documentation

Add a documentation page explaining how standard text generation practices with Diffusion Models translate to Modular Diffusion.

documentation

Currently, `ClassifierFree` guidance is hardcoded in the `Model` class and the `Guidance` base class cannot be extended to create custom guidance behavior.

enhancement
help wanted