Update README.md

README.md

@@ -1,89 +1,89 @@
----
-title: SadTalker
-emoji: 😭
-colorFrom: blue
-colorTo: red
-sdk: gradio
-sdk_version: 3.0.0
-app_file: app.py
-pinned: false
-license: mit
----
-
-<!-- Alternative deployment options:
-
-For Streamlit:
-sdk: streamlit
-app_file: app_streamlit.py
-
-For FastAPI:
-sdk: docker
-app_port: 7860
-
-For Docker:
-sdk: docker
-app_port: 7860
--->
-
-# SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation (CVPR 2023)
-
-This is a Gradio app for SadTalker, which can generate talking face videos from a single image and audio.
-
-## Features
-- Generate talking face videos from single image + audio
-- Multiple preprocessing options
-- Face enhancement with GFPGAN
-- Multiple pose styles
-- Still mode for fewer head movements
-
-## Setup
-
-After cloning this repository to your Hugging Face Space, you'll need to:
-
-1. **Upload model files**: Download the following model files and upload them to your repository:
-
-### Required Model Files:
-
-#### SadTalker Models (upload to `checkpoints/` folder):
-- `SadTalker_V0.0.2_256.safetensors`
-- `SadTalker_V0.0.2_512.safetensors` 
-- `mapping_00109-model.pth.tar`
-- `mapping_00229-model.pth.tar`
-
-#### GFPGAN Models (upload to `gfpgan/weights/` folder):
-- `alignment_WFLW_4HG.pth`
-- `detection_Resnet50_Final.pth`
-- `GFPGANv1.4.pth`
-- `parsing_parsenet.pth`
-
-### Where to get the models:
-1. Download from the original SadTalker repository: https://github.com/OpenTalker/SadTalker
-2. Or from the model links provided in their documentation
-
-### Upload Instructions:
-1. Go to your Hugging Face Space repository
-2. Click "Upload files"
-3. Create the folder structure and upload the model files
-4. Make sure the files are in the correct paths as listed above
-
-## Usage
-1. Upload a source image (preferably a portrait with clear face)
-2. Upload an audio file
-3. Adjust settings as needed
-4. Click Generate to create your talking face video
-
-## Citation
-```
-@InProceedings{zhang2023sadtalker,
-  author={Zhang, Wenxuan and Cun, Xiaodong and Wang, Xuan and Zhang, Yong and Shen, Xi and Guo, Yu and Shan, Ying and Wang, Fei},
-  title={SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation},
-  booktitle={The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
-  month={June},
-  year={2023}
-}
-```
-
-## Links
-- [Paper](https://arxiv.org/abs/2211.12194)
-- [Project Page](https://sadtalker.github.io)
+---
+title: SadTalker
+emoji: 😭
+colorFrom: blue
+colorTo: red
+sdk: gradio
+sdk_version: 6.5.1
+app_file: app.py
+pinned: false
+license: mit
+---
+
+<!-- Alternative deployment options:
+
+For Streamlit:
+sdk: streamlit
+app_file: app_streamlit.py
+
+For FastAPI:
+sdk: docker
+app_port: 7860
+
+For Docker:
+sdk: docker
+app_port: 7860
+-->
+
+# SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation (CVPR 2023)
+
+This is a Gradio app for SadTalker, which can generate talking face videos from a single image and audio.
+
+## Features
+- Generate talking face videos from single image + audio
+- Multiple preprocessing options
+- Face enhancement with GFPGAN
+- Multiple pose styles
+- Still mode for fewer head movements
+
+## Setup
+
+After cloning this repository to your Hugging Face Space, you'll need to:
+
+1. **Upload model files**: Download the following model files and upload them to your repository:
+
+### Required Model Files:
+
+#### SadTalker Models (upload to `checkpoints/` folder):
+- `SadTalker_V0.0.2_256.safetensors`
+- `SadTalker_V0.0.2_512.safetensors` 
+- `mapping_00109-model.pth.tar`
+- `mapping_00229-model.pth.tar`
+
+#### GFPGAN Models (upload to `gfpgan/weights/` folder):
+- `alignment_WFLW_4HG.pth`
+- `detection_Resnet50_Final.pth`
+- `GFPGANv1.4.pth`
+- `parsing_parsenet.pth`
+
+### Where to get the models:
+1. Download from the original SadTalker repository: https://github.com/OpenTalker/SadTalker
+2. Or from the model links provided in their documentation
+
+### Upload Instructions:
+1. Go to your Hugging Face Space repository
+2. Click "Upload files"
+3. Create the folder structure and upload the model files
+4. Make sure the files are in the correct paths as listed above
+
+## Usage
+1. Upload a source image (preferably a portrait with clear face)
+2. Upload an audio file
+3. Adjust settings as needed
+4. Click Generate to create your talking face video
+
+## Citation
+```
+@InProceedings{zhang2023sadtalker,
+  author={Zhang, Wenxuan and Cun, Xiaodong and Wang, Xuan and Zhang, Yong and Shen, Xi and Guo, Yu and Shan, Ying and Wang, Fei},
+  title={SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation},
+  booktitle={The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
+  month={June},
+  year={2023}
+}
+```
+
+## Links
+- [Paper](https://arxiv.org/abs/2211.12194)
+- [Project Page](https://sadtalker.github.io)
 - [Original Repository](https://github.com/OpenTalker/SadTalker)