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930a6bf
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Parent(s):
Duplicate from acvlab/FantasyTalking
Browse filesCo-authored-by: Frank Jiang <frankjiang@users.noreply.huggingface.co>
- .gitattributes +35 -0
- README.md +98 -0
- README_zh.md +96 -0
- fantasytalking_model.ckpt +3 -0
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README.md
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---
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license: apache-2.0
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---
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[中文阅读](./README_zh.md)
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# FantasyTalking: Realistic Talking Portrait Generation via Coherent Motion Synthesis
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[](https://fantasy-amap.github.io/fantasy-talking/)
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[](https://arxiv.org/abs/2504.04842)
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[](https://huggingface.co/papers/2504.04842)
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## 🔥 Latest News!!
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* April 28, 2025: We released the inference code and model weights for audio conditions.
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<!--  -->
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## Quickstart
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### 🛠️Installation
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Clone the repo:
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```
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git clone https://github.com/Fantasy-AMAP/fantasy-talking.git
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cd fantasy-talking
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```
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Install dependencies:
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```
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# Ensure torch >= 2.0.0
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pip install -r requirements.txt
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# Optional to install flash_attn to accelerate attention computation
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pip install flash_attn
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```
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### 🧱Model Download
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| Models | Download Link | Notes |
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| --------------|-------------------------------------------------------------------------------|-------------------------------|
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| 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) | Base model
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| Wav2Vec | 🤗 [Huggingface](https://huggingface.co/facebook/wav2vec2-base-960h) 🤖 [ModelScope](https://modelscope.cn/models/AI-ModelScope/wav2vec2-base-960h) | Audio encoder
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| FantasyTalking model | 🤗 [Huggingface](https://huggingface.co/acvlab/FantasyTalking/) 🤖 [ModelScope](https://www.modelscope.cn/models/amap_cvlab/FantasyTalking/) | Our audio condition weights
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Download models using huggingface-cli:
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``` sh
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pip install "huggingface_hub[cli]"
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huggingface-cli download Wan-AI/Wan2.1-I2V-14B-720P --local-dir ./models/Wan2.1-I2V-14B-720P
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huggingface-cli download facebook/wav2vec2-base-960h --local-dir ./models/wav2vec2-base-960h
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huggingface-cli download acvlab/FantasyTalking --files fantasytalking_model.ckpt --local-dir ./models/fantasytalking_model.ckpt
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```
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Download models using modelscope-cli:
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``` sh
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pip install modelscope
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modelscope download Wan-AI/Wan2.1-I2V-14B-720P --local_dir ./models/Wan2.1-I2V-14B-720P
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modelscope download AI-ModelScope/wav2vec2-base-960h --local_dir ./models/wav2vec2-base-960h
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modelscope download amap_cvlab/FantasyTalking --files fantasytalking_model.ckpt --local-dir ./models/fantasytalking_model.ckpt
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```
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### 🔑 Inference
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``` sh
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python infer.py --image_path ./assets/images/woman.png --audio_path ./assets/audios/woman.wav
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```
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You can control the character's behavior through the prompt. The recommended range for prompt and audio cfg is [3-7].
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``` sh
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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
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```
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We present a detailed table here. The model is tested on a single A100.(512x512, 81 frames).
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|`torch_dtype`|`num_persistent_param_in_dit`|Speed|Required VRAM|
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|-|-|-|-|
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|torch.bfloat16|None (unlimited)|15.5s/it|40G|
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|torch.bfloat16|7*10**9 (7B)|32.8s/it|20G|
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|torch.bfloat16|0|42.6s/it|5G|
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### Gradio Demo
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We construct an online demo in Huggingface.
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For the local gradio demo, you can run:
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``` sh
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pip install gradio spaces
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python app.py
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```
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## 🧩 Community Works
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We ❤️ contributions from the open-source community! If your work has improved FantasyTalking, please inform us.
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## 🔗Citation
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If you find this repository useful, please consider giving a star ⭐ and citation
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```
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@article{wang2025fantasytalking,
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title={FantasyTalking: Realistic Talking Portrait Generation via Coherent Motion Synthesis},
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author={Wang, Mengchao and Wang, Qiang and Jiang, Fan and Fan, Yaqi and Zhang, Yunpeng and Qi, Yonggang and Zhao, Kun and Xu, Mu},
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journal={arXiv preprint arXiv:2504.04842},
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year={2025}
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}
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```
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## Acknowledgments
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Thanks to [Wan2.1](https://github.com/Wan-Video/Wan2.1), [HunyuanVideo](https://github.com/Tencent/HunyuanVideo), and [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio) for open-sourcing their models and code, which provided valuable references and support for this project. Their contributions to the open-source community are truly appreciated.
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README_zh.md
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[中文阅读](./README_zh.md)
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# FantasyTalking: Realistic Talking Portrait Generation via Coherent Motion Synthesis
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3 |
+
|
4 |
+
[](https://fantasy-amap.github.io/fantasy-talking/)
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5 |
+
[](https://arxiv.org/abs/2504.04842)
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[](https://huggingface.co/papers/2504.04842)
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## 🔥 Latest News!!
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* 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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<!--  -->
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## 快速开始
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### 🛠️安装和依赖
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首先克隆git仓库:
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```
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git clone https://github.com/Fantasy-AMAP/fantasy-talking.git
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cd fantasy-talking
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```
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安装依赖:
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```
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pip install -r requirements.txt
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# 可选安装 flash_attn 以加速注意力计算
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pip install flash_attn
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```
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### 🧱模型下载
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| 模型 | 下载链接 | 备注 |
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| --------------|-------------------------------------------------------------------------------|-------------------------------|
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| 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
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| Wav2Vec | 🤗 [Huggingface](https://huggingface.co/facebook/wav2vec2-base-960h) 🤖 [ModelScope](https://modelscope.cn/models/AI-ModelScope/wav2vec2-base-960h) | 音频编码器
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| 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
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使用huggingface-cli下载模型:
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``` sh
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pip install "huggingface_hub[cli]"
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huggingface-cli download Wan-AI/Wan2.1-I2V-14B-720P --local-dir ./models/Wan2.1-I2V-14B-720P
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huggingface-cli download facebook/wav2vec2-base-960h --local-dir ./models/wav2vec2-base-960h
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huggingface-cli download acvlab/FantasyTalking --files fantasytalking_model.ckpt --local-dir ./models/fantasytalking_model.ckpt
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```
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使用modelscope-cli下载模型:
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``` sh
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pip install modelscope
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modelscope download Wan-AI/Wan2.1-I2V-14B-720P --local_dir ./models/Wan2.1-I2V-14B-720P
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modelscope download AI-ModelScope/wav2vec2-base-960h --local_dir ./models/wav2vec2-base-960h
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modelscope download amap_cvlab/FantasyTalking --files fantasytalking_model.ckpt --local-dir ./models/fantasytalking_model.ckpt
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```
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### 🔑 推理
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``` sh
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python infer.py --image_path ./assets/images/woman.png --audio_path ./assets/audios/woman.wav
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```
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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]。
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``` sh
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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
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```
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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)
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|`torch_dtype`|`num_persistent_param_in_dit`|Speed|Required VRAM|
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|-|-|-|-|
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|torch.bfloat16|None (unlimited)|15.5s/it|40G|
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|torch.bfloat16|7*10**9 (7B)|32.8s/it|20G|
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|torch.bfloat16|0|42.6s/it|5G|
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### Gradio 示例
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我们构建了一个Huggingface在线演示。
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对于本地的gradio演示,您可以运行:
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``` sh
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pip install gradio spaces
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python app.py
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```
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## 🧩 社区工作
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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。
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## 🔗Citation
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If you find this repository useful, please consider giving a star ⭐ and citation
|
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```
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@article{wang2025fantasytalking,
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title={FantasyTalking: Realistic Talking Portrait Generation via Coherent Motion Synthesis},
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author={Wang, Mengchao and Wang, Qiang and Jiang, Fan and Fan, Yaqi and Zhang, Yunpeng and Qi, Yonggang and Zhao, Kun and Xu, Mu},
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journal={arXiv preprint arXiv:2504.04842},
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year={2025}
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}
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```
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## 致谢
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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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fantasytalking_model.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:0e75eb54d2f6e5606a4c009785dd588a6e30d0f07bdd09bf433d624f148a1b6b
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size 3361779185
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