Merge https://github.com/magic-research/magic-animate into main

README.md

@@ -23,7 +23,7 @@
     <br>
         <a href="https://arxiv.org/abs/2311.16498"><img src='https://img.shields.io/badge/arXiv-MagicAnimate-red' alt='Paper PDF'></a>
         <a href='https://showlab.github.io/magicanimate'><img src='https://img.shields.io/badge/Project_Page-MagicAnimate-green' alt='Project Page'></a>
-        <a href=''><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue'></a>
+        <a href='https://huggingface.co/spaces/zcxu-eric/magicanimate'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue'></a>
     <br>
     <b>National University of Singapore &nbsp; | &nbsp;  ByteDance</b>
   </p>
@@ -51,6 +51,7 @@
 * **[2023.12.4]** Release inference code and gradio demo. We are working to improve MagicAnimate, stay tuned!
 * **[2023.11.23]** Release MagicAnimate paper and project page.
 
+
 ## ⚒️ Installation
 prerequisites: `python>=3.8`, `CUDA>=11.3`, `ffmpeg` and `git`.
 
@@ -75,8 +76,7 @@ Install with Powershell run `install.ps1` or `install-cn.ps1`(for Chinese)
 ## 🎨 Gradio Demo 
 
 #### Online Gradio Demo:
-Coming soon...
-<!-- Try our [online gradio demo]() quickly. -->
+Try our [online gradio demo](https://huggingface.co/spaces/zcxu-eric/magicanimate) quickly.
 
 #### Local Gradio Demo:
 Launch local gradio demo on single GPU:
@@ -89,6 +89,9 @@ Edit `run_gui.ps1` set `$mutil_gpu=1` then run.
 
 Then open gradio demo in local browser.
 
+## 🙏 Acknowledgements
+We would like to thank [AK(@_akhaliq)](https://twitter.com/_akhaliq?lang=en) and huggingface team for the help of setting up oneline gradio demo.
+
 ## 🎓 Citation
 If you find this codebase useful for your research, please use the following entry.
 ```BibTeX

demo/gradio_animate.py

@@ -52,10 +52,8 @@ def animate(reference_image, motion_sequence_state, seed, steps, guidance_scale)
             submit              = gr.Button("Animate")
 
     def read_video(video):
-        size = int(size)
         reader = imageio.get_reader(video)
         fps = reader.get_meta_data()['fps']
-        assert fps == 25.0, f'Expected video fps: 25, but {fps} fps found'
         return video
 
     def read_image(image, size=512):

demo/gradio_animate_dist.py

@@ -115,5 +115,5 @@ def read_image(image, size=512):
         outputs=animation,
     )
 
-
+demo.queue(max_size=10)
 demo.launch(share=True)