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sanaka87/Show-o-512x512-RecA
Show-o-512x512-RecA is a any-to-any model from sanaka87. Use it for the any-to-any task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
A self-supervised training framework that aligns understanding and generation in modest compute, with huge zero-shot gain on generation and editing capability.
Downloads · 30 days
19
8% of all-time downloads
All-time downloads
249
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From the Hugging Face model README
A self-supervised training framework that aligns understanding and generation in modest compute, with huge zero-shot gain on generation and editing capability.
This repository hosts the model weights for Show-o-512x512-RecA, presented in the paper Reconstruction Alignment Improves Unified Multimodal Models. For installation, usage instructions, and further documentation, please visit the RecA GitHub repository and the Project Page. You can also refer to Show-o's original GitHub repository for the base model.
| Model | GenEval ↑ | DPGBench ↑ | WISE ↑ |
|---|---|---|---|
| Show-o-512x512 | 0.67 | 82.21 | 0.40 |
| Show-o-512x512-RecA | 0.72 | 84.94 | 0.40 |
Show-o-512x512-RecA is licensed under the Apache 2.0 license.
If you find our work inspiring or use our codebase in your research, please consider giving a star ⭐ and a citation~
@article{xie2025reconstruction,
title={Reconstruction Alignment Improves Unified Multimodal Models},
author={Xie, Ji and Darrell, Trevor and Zettlemoyer, Luke and Wang, XuDong},
journal={arXiv preprint arXiv:2509.07295},
year={2025}
}