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README.md

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-license: apache-2.0
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+<h1 align='center'>EchoMimicV2: Towards Striking, Simplified, and Semi-Body Human Animation Conditioning</h1>
+
+<div align='center'>
+    <a href='https://github.com/mengrang' target='_blank'>Rang Meng</a><sup></sup>&emsp;
+    <a href='https://github.com/' target='_blank'>Xingyu Zhang</a><sup></sup>&emsp;
+    <a href='https://lymhust.github.io/' target='_blank'>Yuming Li</a><sup></sup>&emsp;
+    <a href='https://github.com/' target='_blank'>Chenguang Ma</a><sup></sup>
+</div>
+
+
+<div align='center'>
+Terminal Technology Department, Alipay, Ant Group.
+</div>
+<br>
+<div align='center'>
+    <a href='https://antgroup.github.io/ai/echomimic_v2/'><img src='https://img.shields.io/badge/Project-Page-blue'></a>
+    <a href='https://antgroup.github.io/ai/echomimic_v2/'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20HuggingFace-Model-yellow'></a>
+    <!--<a href='https://antgroup.github.io/ai/echomimic_v2/'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20HuggingFace-Demo-yellow'></a>-->
+    <a href='https://antgroup.github.io/ai/echomimic_v2/'><img src='https://img.shields.io/badge/ModelScope-Model-purple'></a>
+    <!--<a href='https://antgroup.github.io/ai/echomimic_v2/'><img src='https://img.shields.io/badge/ModelScope-Demo-purple'></a>-->
+    <a href='https://arxiv.org/abs/2411.10061'><img src='https://img.shields.io/badge/Paper-Arxiv-red'></a>
+    <a href='https://github.com/antgroup/echomimic_v2/blob/main/assets/halfbody_demo/wechat_group.png'><img src='https://badges.aleen42.com/src/wechat.svg'></a>
+</div>
+
+## &#x1F680; EchoMimic Series
+* EchoMimicV1: Lifelike Audio-Driven Portrait Animations through Editable Landmark Conditioning. [GitHub](https://github.com/antgroup/echomimic)
+* EchoMimicV2: Towards Striking, Simplified, and Semi-Body Human Animation. [GitHub](https://github.com/antgroup/echomimic_v2)
+
+## &#x1F4E3; Updates
+* [2024.11.19] 🔥 We release the EMTD dataset list and processing scripts.
+* [2024.11.19] 🔥 We release our [EchoMimicV2](https://github.com/antgroup/echomimic_v2) codes and models.
+* [2024.11.15] 🔥 Our [paper](https://arxiv.org/abs/2411.10061) is in public on arxiv.
+
+## &#x1F305; Gallery
+### Introduction
+<table class="center">
+<tr>
+    <td width=50% style="border: none">
+        <video controls loop src="https://github.com/user-attachments/assets/f544dfc0-7d1a-4c2c-83c0-608f28ffda25" muted="false"></video>
+    </td>
+    <td width=50% style="border: none">
+        <video controls loop src="https://github.com/user-attachments/assets/7f626b65-725c-4158-a96b-062539874c63" muted="false"></video>
+    </td>
+</tr>
+</table>
+
+### English Driven Audio
+<table class="center">
+<tr>
+    <td width=100% style="border: none">
+        <video controls loop src="https://github.com/user-attachments/assets/3d5ac52c-62e4-41bc-8b27-96f005bbd781" muted="false"></video>
+    </td>
+</tr>
+</table>
+<table class="center">
+<tr>
+    <td width=30% style="border: none">
+        <video controls loop src="https://github.com/user-attachments/assets/e8dd6919-665e-4343-931f-54c93dc49a7d" muted="false"></video>
+    </td>
+    <td width=30% style="border: none">
+        <video controls loop src="https://github.com/user-attachments/assets/2a377391-a0d3-4a9d-8dde-cc59006e7e5b" muted="false"></video>
+    </td>
+    <td width=30% style="border: none">
+        <video controls loop src="https://github.com/user-attachments/assets/462bf3bb-0af2-43e2-a2dc-559e79953f3c" muted="false"></video>
+    </td>
+</tr>
+<tr>
+    <td width=30% style="border: none">
+        <video controls loop src="https://github.com/user-attachments/assets/0e988e7f-6346-4b54-9061-9cfc7a80e9c8" muted="false"></video>
+    </td>
+    <td width=30% style="border: none">
+        <video controls loop src="https://github.com/user-attachments/assets/56f739bd-afbf-4ed3-ab15-73a811c1bc46" muted="false"></video>
+    </td>
+    <td width=30% style="border: none">
+        <video controls loop src="https://github.com/user-attachments/assets/1b2f7827-111d-4fc0-a773-e1731bba285d" muted="false"></video>
+    </td>
+</tr>
+<tr>
+    <td width=30% style="border: none">
+        <video controls loop src="https://github.com/user-attachments/assets/a76b6cc8-89b9-4f7e-b1ce-c85a657b6dc7" muted="false"></video>
+    </td>
+    <td width=30% style="border: none">
+        <video controls loop src="https://github.com/user-attachments/assets/bf03b407-5033-4a30-aa59-b8680a515181" muted="false"></video>
+    </td>
+    <td width=30% style="border: none">
+        <video controls loop src="https://github.com/user-attachments/assets/f98b3985-572c-499f-ae1a-1b9befe3086f" muted="false"></video>
+    </td>
+</tr>
+</table>
+
+### Chinese Driven Audio
+<table class="center">
+<tr>
+    <td width=30% style="border: none">
+        <video controls loop src="https://github.com/user-attachments/assets/a940a332-2fd1-48e7-b3c4-f88f63fd1c9d" muted="false"></video>
+    </td>
+    <td width=30% style="border: none">
+        <video controls loop src="https://github.com/user-attachments/assets/8f185829-c67f-45f4-846c-fcbe012c3acf" muted="false"></video>
+    </td>
+    <td width=30% style="border: none">
+        <video controls loop src="https://github.com/user-attachments/assets/a49ab9be-f17b-41c5-96dd-20dc8d759b45" muted="false"></video>
+    </td>
+</tr>
+<tr>
+    <td width=30% style="border: none">
+        <video controls loop src="https://github.com/user-attachments/assets/1136ec68-a13c-4ee7-ab31-5621530bf9df" muted="false"></video>
+    </td>
+    <td width=30% style="border: none">
+        <video controls loop src="https://github.com/user-attachments/assets/fc16d512-8806-4662-ae07-8fcf45c75a83" muted="false"></video>
+    </td>
+    <td width=30% style="border: none">
+        <video controls loop src="https://github.com/user-attachments/assets/f8559cd1-f555-4781-9251-dfcef10b5b01" muted="false"></video>
+    </td>
+</tr>
+<tr>
+    <td width=30% style="border: none">
+        <video controls loop src="https://github.com/user-attachments/assets/c7473e3a-ab51-4ad5-be96-6c4691fc0c6e" muted="false"></video>
+    </td>
+    <td width=30% style="border: none">
+        <video controls loop src="https://github.com/user-attachments/assets/ca69eac0-5126-41ee-8cac-c9722004d771" muted="false"></video>
+    </td>
+    <td width=30% style="border: none">
+        <video controls loop src="https://github.com/user-attachments/assets/e66f1712-b66d-46b5-8bbd-811fbcfea4fd" muted="false"></video>
+    </td>
+</tr>
+</table>
+
+## ⚒️ Installation
+### Download the Codes
+
+```bash
+  git clone https://github.com/antgroup/echomimic_v2
+  cd echomimic_v2
+```
+
+### Python Environment Setup
+
+- Tested System Environment: Centos 7.2/Ubuntu 22.04, Cuda >= 11.7
+- Tested GPUs: A100(80G) / RTX4090D (24G) / V100(16G)
+- Tested Python Version: 3.8 / 3.10 / 3.11
+
+Create conda environment (Recommended):
+
+```bash
+  conda create -n echomimic python=3.8
+  conda activate echomimic
+```
+
+Install packages with `pip`
+```bash
+  pip install -r requirements.txt
+```
+
+### Download ffmpeg-static
+Download and decompress [ffmpeg-static](https://www.johnvansickle.com/ffmpeg/old-releases/ffmpeg-4.4-amd64-static.tar.xz), then
+```
+export FFMPEG_PATH=/path/to/ffmpeg-4.4-amd64-static
+```
+
+### Download pretrained weights
+
+```shell
+git lfs install
+git clone https://huggingface.co/BadToBest/EchoMimic pretrained_weights
+```
+
+The **pretrained_weights** is organized as follows.
+
+```
+./pretrained_weights/
+├── denoising_unet.pth
+├── reference_unet.pth
+├── motion_module.pth
+├── face_locator.pth
+├── sd-vae-ft-mse
+│   └── ...
+├── sd-image-variations-diffusers
+│   └── ...
+└── audio_processor
+    └── whisper_tiny.pt
+```
+
+In which **denoising_unet.pth** / **reference_unet.pth** / **motion_module.pth** / **face_locator.pth** are the main checkpoints of **EchoMimic**. Other models in this hub can be also downloaded from it's original hub, thanks to their brilliant works:
+- [sd-vae-ft-mse](https://huggingface.co/stabilityai/sd-vae-ft-mse)
+- [sd-image-variations-diffusers](https://huggingface.co/lambdalabs/sd-image-variations-diffusers)
+- [audio_processor(whisper)](https://openaipublic.azureedge.net/main/whisper/models/65147644a518d12f04e32d6f3b26facc3f8dd46e5390956a9424a650c0ce22b9/tiny.pt)
+
+### Inference on Demo 
+Run the python inference script:
+```bash
+python infer.py --config='./configs/prompts/infer.yaml'
+```
+
+### Inference on Your Own Case
+**xxxx.ipynb** is a complete demo to generate animation video using the custom reference image, audio, and hand pose driven video.
+
+### EMTD Dataset
+Download dataset:
+```bash
+python ./EMTD_dataset/download.py
+```
+Slice dataset:
+```bash
+bash ./EMTD_dataset/slice.sh
+```
+Process dataset:
+```bash
+python ./EMTD_dataset/preprocess.py
+```
+
+## 📝 Release Plans
+
+|  Status  | Milestone                                                                | ETA |
+|:--------:|:-------------------------------------------------------------------------|:--:|
+|    ✅    | The inference source code of EchoMimicV2 meet everyone on GitHub   | 21st Nov, 2024 |
+|    ✅    | Pretrained models trained on English and Mandarin Chinese on HuggingFace | 21st Nov, 2024 |
+|    ✅    | Pretrained models trained on English and Mandarin Chinese on ModelScope   | 21st Nov, 2024 |
+|    ✅    | EMTD dataset list and processing scripts                | 21st Nov, 2024 |
+|    🚀    | Accelerated models to be released                                        | TBD |
+|    🚀    | Online Demo on ModelScope to be released            | TBD |
+|    🚀    | Online Demo on HuggingFace to be released         | TBD |
+
+## ⚖️ Disclaimer
+This project is intended for academic research, and we explicitly disclaim any responsibility for user-generated content. Users are solely liable for their actions while using the generative model. The project contributors have no legal affiliation with, nor accountability for, users' behaviors. It is imperative to use the generative model responsibly, adhering to both ethical and legal standards.
+
+## 🙏🏻 Acknowledgements
+
+We would like to thank the contributors to the [MimicMotion](https://github.com/Tencent/MimicMotion) and [Moore-AnimateAnyone](https://github.com/MooreThreads/Moore-AnimateAnyone) repositories, for their open research and exploration. 
+
+We are also grateful to [CyberHost](https://cyberhost.github.io/) and [Vlogger](https://enriccorona.github.io/vlogger/) for their outstanding work in the area of audio-driven human animation.
+
+If we missed any open-source projects or related articles, we would like to complement the acknowledgement of this specific work immediately.
+
+## &#x1F4D2; Citation
+
+If you find our work useful for your research, please consider citing the paper :
+
+```
+@misc{meng2024echomimic,
+  title={EchoMimicV2: Towards Striking, Simplified, and Semi-Body Human Animation},
+  author={Rang Meng, Xingyu Zhang, Yuming Li, Chenguang Ma},
+  year={2024},
+  eprint={2411.10061},
+  archivePrefix={arXiv},
+  primaryClass={cs.CV}
+}
+```
+
+## &#x1F31F; Star History
+[![Star History Chart](https://api.star-history.com/svg?repos=antgroup/echomimic_v2&type=Date)](https://star-history.com/#antgroup/echomimic_v2&Date)