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| title: EchoMimic | |
| emoji: π¨ | |
| colorFrom: pink | |
| colorTo: blue | |
| sdk: gradio | |
| sdk_version: 4.38.1 | |
| app_file: webgui.py | |
| pinned: false | |
| suggested_hardware: a10g-large | |
| <h1 align='center'>EchoMimic: Lifelike Audio-Driven Portrait Animations through Editable Landmark Conditioning</h1> | |
| <div align='center'> | |
| <a href='https://github.com/yuange250' target='_blank'>Zhiyuan Chen</a><sup>*</sup>  | |
| <a href='https://github.com/JoeFannie' target='_blank'>Jiajiong Cao</a><sup>*</sup>  | |
| <a href='https://github.com/octavianChen' target='_blank'>Zhiquan Chen</a><sup></sup>  | |
| <a href='https://github.com/lymhust' target='_blank'>Yuming Li</a><sup></sup>  | |
| <a href='https://github.com/' target='_blank'>Chenguang Ma</a><sup></sup> | |
| </div> | |
| <div align='center'> | |
| *Equal Contribution. | |
| </div> | |
| <div align='center'> | |
| Terminal Technology Department, Alipay, Ant Group. | |
| </div> | |
| <br> | |
| <div align='center'> | |
| <a href='https://badtobest.github.io/echomimic.html'><img src='https://img.shields.io/badge/Project-Page-blue'></a> | |
| <a href='https://huggingface.co/BadToBest/EchoMimic'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20HuggingFace-Model-yellow'></a> | |
| <a href='https://www.modelscope.cn/models/BadToBest/EchoMimic'><img src='https://img.shields.io/badge/ModelScope-Model-purple'></a> | |
| <a href='https://arxiv.org/abs/2407.08136'><img src='https://img.shields.io/badge/Paper-Arxiv-red'></a> | |
| <a href='assets/echomimic.png'><img src='https://badges.aleen42.com/src/wechat.svg'></a> | |
| </div> | |
| ## 📣 📣 Updates | |
| * [2024.07.17] π₯π₯π₯ Accelerated models and pipe are released. The inference speed can be improved by **10x** (from ~7mins/240frames to ~50s/240frames on V100 GPU) | |
| * [2024.07.14] π₯ [ComfyUI](https://github.com/smthemex/ComfyUI_EchoMimic) is now available. Thanks @smthemex for the contribution. | |
| * [2024.07.13] π₯ Thanks [NewGenAI](https://www.youtube.com/@StableAIHub) for the [video installation tutorial](https://www.youtube.com/watch?v=8R0lTIY7tfI). | |
| * [2024.07.13] π₯ We release our pose&audio driven codes and models. | |
| * [2024.07.12] π₯ WebUI and GradioUI versions are released. We thank @greengerong @Robin021 and @O-O1024 for their contributions. | |
| * [2024.07.12] π₯ Our [paper](https://arxiv.org/abs/2407.08136) is in public on arxiv. | |
| * [2024.07.09] π₯ We release our audio driven codes and models. | |
| ## Gallery | |
| ### Audio Driven (Sing) | |
| <table class="center"> | |
| <tr> | |
| <td width=30% style="border: none"> | |
| <video controls loop src="https://github.com/BadToBest/EchoMimic/assets/11451501/d014d921-9f94-4640-97ad-035b00effbfe" muted="false"></video> | |
| </td> | |
| <td width=30% style="border: none"> | |
| <video controls loop src="https://github.com/BadToBest/EchoMimic/assets/11451501/877603a5-a4f9-4486-a19f-8888422daf78" muted="false"></video> | |
| </td> | |
| <td width=30% style="border: none"> | |
| <video controls loop src="https://github.com/BadToBest/EchoMimic/assets/11451501/e0cb5afb-40a6-4365-84f8-cb2834c4cfe7" muted="false"></video> | |
| </td> | |
| </tr> | |
| </table> | |
| ### Audio Driven (English) | |
| <table class="center"> | |
| <tr> | |
| <td width=30% style="border: none"> | |
| <video controls loop src="https://github.com/BadToBest/EchoMimic/assets/11451501/386982cd-3ff8-470d-a6d9-b621e112f8a5" muted="false"></video> | |
| </td> | |
| <td width=30% style="border: none"> | |
| <video controls loop src="https://github.com/BadToBest/EchoMimic/assets/11451501/5c60bb91-1776-434e-a720-8857a00b1501" muted="false"></video> | |
| </td> | |
| <td width=30% style="border: none"> | |
| <video controls loop src="https://github.com/BadToBest/EchoMimic/assets/11451501/1f15adc5-0f33-4afa-b96a-2011886a4a06" muted="false"></video> | |
| </td> | |
| </tr> | |
| </table> | |
| ### Audio Driven (Chinese) | |
| <table class="center"> | |
| <tr> | |
| <td width=30% style="border: none"> | |
| <video controls loop src="https://github.com/BadToBest/EchoMimic/assets/11451501/a8092f9a-a5dc-4cd6-95be-1831afaccf00" muted="false"></video> | |
| </td> | |
| <td width=30% style="border: none"> | |
| <video controls loop src="https://github.com/BadToBest/EchoMimic/assets/11451501/c8b5c59f-0483-42ef-b3ee-4cffae6c7a52" muted="false"></video> | |
| </td> | |
| <td width=30% style="border: none"> | |
| <video controls loop src="https://github.com/BadToBest/EchoMimic/assets/11451501/532a3e60-2bac-4039-a06c-ff6bf06cb4a4" muted="false"></video> | |
| </td> | |
| </tr> | |
| </table> | |
| ### Landmark Driven | |
| <table class="center"> | |
| <tr> | |
| <td width=30% style="border: none"> | |
| <video controls loop src="https://github.com/BadToBest/EchoMimic/assets/11451501/1da6c46f-4532-4375-a0dc-0a4d6fd30a39" muted="false"></video> | |
| </td> | |
| <td width=30% style="border: none"> | |
| <video controls loop src="https://github.com/BadToBest/EchoMimic/assets/11451501/d4f4d5c1-e228-463a-b383-27fb90ed6172" muted="false"></video> | |
| </td> | |
| <td width=30% style="border: none"> | |
| <video controls loop src="https://github.com/BadToBest/EchoMimic/assets/11451501/18bd2c93-319e-4d1c-8255-3f02ba717475" muted="false"></video> | |
| </td> | |
| </tr> | |
| </table> | |
| ### Audio + Selected Landmark Driven | |
| <table class="center"> | |
| <tr> | |
| <td width=30% style="border: none"> | |
| <video controls loop src="https://github.com/BadToBest/EchoMimic/assets/11451501/4a29d735-ec1b-474d-b843-3ff0bdf85f55" muted="false"></video> | |
| </td> | |
| <td width=30% style="border: none"> | |
| <video controls loop src="https://github.com/BadToBest/EchoMimic/assets/11451501/b994c8f5-8dae-4dd8-870f-962b50dc091f" muted="false"></video> | |
| </td> | |
| <td width=30% style="border: none"> | |
| <video controls loop src="https://github.com/BadToBest/EchoMimic/assets/11451501/955c1d51-07b2-494d-ab93-895b9c43b896" muted="false"></video> | |
| </td> | |
| </tr> | |
| </table> | |
| **οΌSome demo images above are sourced from image websites. If there is any infringement, we will immediately remove them and apologize.οΌ** | |
| ## Installation | |
| ### Download the Codes | |
| ```bash | |
| git clone https://github.com/BadToBest/EchoMimic | |
| cd EchoMimic | |
| ``` | |
| ### 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/ | |
| βββ denoising_unet.pth | |
| βββ reference_unet.pth | |
| βββ motion_module.pth | |
| βββ face_locator.pth | |
| βββ sd-vae-ft-mse | |
| β βββ ... | |
| βββ sd-image-variations-diffusers | |
| β βββ ... | |
| βββ audio_processor | |
| βββ 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) | |
| ### Audio-Drived Algo Inference | |
| Run the python inference script: | |
| ```bash | |
| python -u infer_audio2vid.py | |
| python -u infer_audio2vid_pose.py | |
| ``` | |
| ### Audio-Drived Algo Inference On Your Own Cases | |
| Edit the inference config file **./configs/prompts/animation.yaml**, and add your own case: | |
| ```bash | |
| test_cases: | |
| "path/to/your/image": | |
| - "path/to/your/audio" | |
| ``` | |
| The run the python inference script: | |
| ```bash | |
| python -u infer_audio2vid.py | |
| ``` | |
| ### Motion Alignment between Ref. Img. and Driven Vid. | |
| (Firstly download the checkpoints with '_pose.pth' postfix from huggingface) | |
| Edit driver_video and ref_image to your path in demo_motion_sync.py, then run | |
| ```bash | |
| python -u demo_motion_sync.py | |
| ``` | |
| ### Audio&Pose-Drived Algo Inference | |
| Edit ./configs/prompts/animation_pose.yaml, then run | |
| ```bash | |
| python -u infer_audio2vid_pose.py | |
| ``` | |
| ### Pose-Drived Algo Inference | |
| Set draw_mouse=True in line 135 of infer_audio2vid_pose.py. Edit ./configs/prompts/animation_pose.yaml, then run | |
| ```bash | |
| python -u infer_audio2vid_pose.py | |
| ``` | |
| ### Run the Gradio UI | |
| Thanks to the contribution from @Robin021: | |
| ```bash | |
| python -u webgui.py --server_port=3000 | |
| ``` | |
| ## Release Plans | |
| | Status | Milestone | ETA | | |
| |:--------:|:-------------------------------------------------------------------------|:--:| | |
| | β | The inference source code of the Audio-Driven algo meet everyone on GitHub | 9th July, 2024 | | |
| | β | Pretrained models trained on English and Mandarin Chinese to be released | 9th July, 2024 | | |
| | β | The inference source code of the Pose-Driven algo meet everyone on GitHub | 13th July, 2024 | | |
| | β | Pretrained models with better pose control to be released | 13th July, 2024 | | |
| | β | Accelerated models to be released | 17th July, 2024 | | |
| | π | Pretrained models with better sing performance to be released | TBD | | |
| | π | Large-Scale and High-resolution Chinese-Based Talking Head Dataset | TBD | | |
| ## Acknowledgements | |
| We would like to thank the contributors to the [AnimateDiff](https://github.com/guoyww/AnimateDiff), [Moore-AnimateAnyone](https://github.com/MooreThreads/Moore-AnimateAnyone) and [MuseTalk](https://github.com/TMElyralab/MuseTalk) repositories, for their open research and exploration. | |
| We are also grateful to [V-Express](https://github.com/tencent-ailab/V-Express) and [hallo](https://github.com/fudan-generative-vision/hallo) for their outstanding work in the area of diffusion-based talking heads. | |
| If we missed any open-source projects or related articles, we would like to complement the acknowledgement of this specific work immediately. | |
| ## Citation | |
| If you find our work useful for your research, please consider citing the paper : | |
| ``` | |
| @misc{chen2024echomimic, | |
| title={EchoMimic: Lifelike Audio-Driven Portrait Animations through Editable Landmark Conditioning}, | |
| author={Zhiyuan Chen, Jiajiong Cao, Zhiquan Chen, Yuming Li, Chenguang Ma}, | |
| year={2024}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.CV} | |
| } | |
| ``` | |
| ## Star History | |
| [](https://star-history.com/?spm=5176.28103460.0.0.342a3da23STWrU#BadToBest/EchoMimic&Date) |