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Improve model card with abstract, diffusers usage, benchmarks, and showcases
Verified signatureThis PR significantly enhances the model card by incorporating more comprehensive information derived from the paper's abstract and the project's GitHub repository. Key improvements include: - **Expanded "About" section:** The brief description has been replaced with the full abstract of the paper, offering a detailed overview of the TACA method, its motivations, and findings. - **Visual Overview:** An embedded GIF/video from the GitHub README is added for a quick visual summary of the model's capabilities. - **Detailed Usage Instructions:** New Python code snippets using the `diffusers` library are provided for both Stable Diffusion 3.5 and FLUX.1, making it easier for users to integrate and experiment with TACA. - **Benchmark Results:** The comprehensive evaluation table from the paper/GitHub repository is included, showcasing TACA's performance on the T2I-CompBench benchmark. - **Visual Showcases:** Example generated images are added, with their paths corrected to ensure …8719203
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Add link to paper (#2)
Verified signature- Add link to paper (a8dec8a562cce3be31ecdf8617f9192981625b95) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>b854c46
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Add library name and link to code (#1)
Verified signature- Add library name and link to code (4d59a73612b4f8e050c26d48c9e17c456ea2ad8c) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>f3e9246 -
Update README.md
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