[Community Pipeline] Modified Cross-Attention - Structured Diffusion Guidance for Compositional T2I synthesis

[apolinario]

Intro

Community Pipelines are introduced in diffusers==0.4.0 with the idea of allowing the community to quickly add, integrate, and share their custom pipelines on top of diffusers.

You can find a guide about Community Pipelines here. You can also find all the community examples under examples/community/. If you have questions about the Community Pipelines feature, please head to the parent issue.

Idea: Modified cross-attention mechanism

This pipeline aims to implement this paper to Stable Diffusion, improving interpretability of the prompts. Some results of the paper Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis:

[20RitikSingh]

I want to work on this.

[apolinario]

Awesome @20RitikSingh! Feel free to share your progress and ask if you find any challenges

[keturn]

This is a super interesting paper! Note that there is a reference implementation included in the .zip of "supplementary material" on the paper submission. Also note that implementation is not released under the Apache License, so I don't know if 🤗 can accept a PR that includes it. It might be safer to do a clean-room implementation from only the description in the text of the paper.

[I Am Not A Lawyer and I Am Not Your Lawyer, but the paper's authors are obligated to remain anonymous until the end of the ICLR 2023 review period, so they might have a hard time speaking up for themselves right now.]

If you do choose to use the code from the supplementary material, you may need to swap some things around to make it better fit diffusers instead of ldm.

[patrickvonplaten]

Also cc @patil-suraj here FYI

[patil-suraj]

Interesting!

@20RitikSingh , let us know you need any help or have any questions, happy to help :)

[shunk031]

Hi, I have built a pipeline with diffusers based on the reference implementation. Here is my implementation of the Structured Diffusion Guidance: https://github.com/shunk031/training-free-structured-diffusion-guidance.

However, I am not confident in my implementation because some parts of the published implementation are missing (e.g., sampler; a new argument, skip, has been added, but the details of this argument are not clear). Also, my implementation assumes batch size = 1, so it does not support multiple batch sizes. My implementation seems to have a bug with this limitation as well. Thank you.

[keturn]

The paper has been submitted as https://arxiv.org/abs/2212.05032 and is no longer anonymous! https://weixi-feng.github.io/structure-diffusion-guidance/

MIT licensed code by @weixi-feng at https://github.com/weixi-feng/Structured-Diffusion-Guidance

[github-actions]

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