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[中文阅读](./README_zh.md)
# FantasyTalking: Realistic Talking Portrait Generation via Coherent Motion Synthesis
[](https://fantasy-amap.github.io/fantasy-talking/)
[](https://arxiv.org/abs/2504.04842)
[](https://huggingface.co/papers/2504.04842)
## 🔥 Latest News!!
* 2025年4月28日: 开源了音频条件下的推理代码和模型权重。
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## 快速开始
### 🛠️安装和依赖
首先克隆git仓库:
```
git clone https://github.com/Fantasy-AMAP/fantasy-talking.git
cd fantasy-talking
```
安装依赖:
```
pip install -r requirements.txt
# 可选安装 flash_attn 以加速注意力计算
pip install flash_attn
```
### 🧱模型下载
| 模型 | 下载链接 | 备注 |
| --------------|-------------------------------------------------------------------------------|-------------------------------|
| Wan2.1-I2V-14B-720P | 🤗 [Huggingface](https://huggingface.co/Wan-AI/Wan2.1-I2V-14B-720P) 🤖 [ModelScope](https://www.modelscope.cn/models/Wan-AI/Wan2.1-I2V-14B-720P) | 基础模型
| Wav2Vec | 🤗 [Huggingface](https://huggingface.co/facebook/wav2vec2-base-960h) 🤖 [ModelScope](https://modelscope.cn/models/AI-ModelScope/wav2vec2-base-960h) | 音频编码器
| FantasyTalking model | 🤗 [Huggingface](https://huggingface.co/acvlab/FantasyTalking/) 🤖 [ModelScope](https://www.modelscope.cn/models/amap_cvlab/FantasyTalking/) | 我们的音频条件权重
使用huggingface-cli下载模型:
``` sh
pip install "huggingface_hub[cli]"
huggingface-cli download Wan-AI/Wan2.1-I2V-14B-720P --local-dir ./models/Wan2.1-I2V-14B-720P
huggingface-cli download facebook/wav2vec2-base-960h --local-dir ./models/wav2vec2-base-960h
huggingface-cli download acvlab/FantasyTalking --files fantasytalking_model.ckpt --local-dir ./models/fantasytalking_model.ckpt
```
使用modelscope-cli下载模型:
``` sh
pip install modelscope
modelscope download Wan-AI/Wan2.1-I2V-14B-720P --local_dir ./models/Wan2.1-I2V-14B-720P
modelscope download AI-ModelScope/wav2vec2-base-960h --local_dir ./models/wav2vec2-base-960h
modelscope download amap_cvlab/FantasyTalking --files fantasytalking_model.ckpt --local-dir ./models/fantasytalking_model.ckpt
```
### 🔑 推理
``` sh
python infer.py --image_path ./assets/images/woman.png --audio_path ./assets/audios/woman.wav
```
您可以通过提示控制角色的行为。提示和音频配置的推荐范围是[3-7]。
``` sh
python infer.py --image_path ./assets/images/woman.png --audio_path ./assets/audios/woman.wav --prompt "The person is speaking enthusiastically, with their hands continuously waving." --prompt_cfg_scale 5.0 --audio_cfg_scale 5.0
```
我们在此处提供了一个详细的表格。该模型在单个A100上进行了测试。(512x512,81帧)
|`torch_dtype`|`num_persistent_param_in_dit`|Speed|Required VRAM|
|-|-|-|-|
|torch.bfloat16|None (unlimited)|15.5s/it|40G|
|torch.bfloat16|7*10**9 (7B)|32.8s/it|20G|
|torch.bfloat16|0|42.6s/it|5G|
### Gradio 示例
我们构建了一个Huggingface在线演示。
对于本地的gradio演示,您可以运行:
``` sh
pip install gradio spaces
python app.py
```
## 🧩 社区工作
我们❤️喜欢来自开源社区的贡献!如果你的工作改进了FantasyTalking,请告诉我们。
## 🔗Citation
If you find this repository useful, please consider giving a star ⭐ and citation
```
@article{wang2025fantasytalking,
title={FantasyTalking: Realistic Talking Portrait Generation via Coherent Motion Synthesis},
author={Wang, Mengchao and Wang, Qiang and Jiang, Fan and Fan, Yaqi and Zhang, Yunpeng and Qi, Yonggang and Zhao, Kun and Xu, Mu},
journal={arXiv preprint arXiv:2504.04842},
year={2025}
}
```
## 致谢
感谢[Wan2.1](https://github.com/Wan-Video/Wan2.1)、[HunyuanVideo](https://github.com/Tencent/HunyuanVideo)和[DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio)开源他们的模型和代码,为该项目提供了宝贵的参考和支持。他们对开源社区的贡献真正值得赞赏。
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