Implementing support for PIXART-α Fine Tuning and DreamBooth

PIXART-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

https://pixart-alpha.github.io/

They have train scripts here : https://github.com/PixArt-alpha/PixArt-alpha/tree/master/train_scripts

This model is literally better than SDXL

I made a full tutorial for those who wonders.

[**PIXART-α : First Open Source Rival to Midjourney - Better Than Stable Diffusion SDXL - Full Tutorial**](https://youtu.be/ZiUXf_idIR4)

[](https://youtu.be/ZiUXf_idIR4)

Start by reviewing the linked PixArt-alpha train_scripts and the repository's Python training entry points. Determine the required scope for PIXART-α fine-tuning and DreamBooth support, then define completion criteria for both workflows and their validation.

Written by the indexing model from the issue text.