返回模型
说明文档
MuseTalk 克隆与运行完整设置指南
构建环境
我们推荐使用 python 版本 >=3.10 和 cuda 版本 =11.7。然后按以下步骤构建环境：
pip install -r requirements.txt
mmlab 包
pip install --no-cache-dir -U openmim
mim install mmengine
mim install \"mmcv>=2.0.1\"
mim install \"mmdet>=3.1.0\"
mim install \"mmpose>=1.1.0\"
下载 ffmpeg-static
下载 ffmpeg-static 并执行：
export FFMPEG_PATH=/path/to/ffmpeg
例如：
export FFMPEG_PATH=/musetalk/ffmpeg-4.4-amd64-static
下载权重文件
您可以按以下方式手动下载权重：
下载我们训练好的权重。
下载其他组件的权重：
sd-vae-ft-mse
whisper
dwpose
face-parse-bisent
resnet18
最后，这些权重应该按以下结构组织在 models 目录中：
./models/
├── musetalk
│ └── musetalk.json
│ └── pytorch_model.bin
├── dwpose
│ └── dw-ll_ucoco_384.pth
├── face-parse-bisent
│ ├── 79999_iter.pth
│ └── resnet18-5c106cde.pth
├── sd-vae-ft-mse
│ ├── config.json
│ └── diffusion_pytorch_model.bin
└── whisper
└── tiny.pt
快速开始
推理
这里我们提供推理脚本。
python -m scripts.inference --inference_config configs/inference/test.yaml
configs/inference/test.yaml 是推理配置文件的路径，包括 video_path 和 audio_path。video_path 可以是视频文件、图片文件或图片目录。
建议您输入 25fps 的视频，这与模型训练时使用的 fps 相同。如果您的视频帧率远低于 25fps，建议使用帧插值或直接使用 ffmpeg 将视频转换为 25fps。
使用 bbox_shift 获得可调节的结果
🔎 我们发现掩码的上边界对嘴部张开程度有重要影响。因此，为了控制掩码区域，我们建议使用 bbox_shift 参数。正值（向下半部分移动）会增加嘴部张开程度，而负值（向上半部分移动）会减小嘴部张开程度。
您可以先使用默认配置运行以获取可调节的值范围，然后在该范围内重新运行脚本。
例如，对于 Xinying Sun，使用默认配置运行后，显示可调节的值范围是 [-9, 9]。然后，为了减小嘴部张开程度，我们将值设为 -7。
python -m scripts.inference --inference_config configs/inference/test.yaml --bbox_shift -7
📌 更多技术细节可在 bbox_shift 中找到。
结合 MuseV 和 MuseTalk
作为虚拟人生成的完整解决方案，建议您先参考此处应用 MuseV 生成视频（文本生成视频、图像生成视频或姿态生成视频）。建议使用帧插值来提高帧率。然后，您可以参考此处使用 MuseTalk 生成唇形同步视频。
🆕 实时推理
这里我们提供推理脚本。此脚本首先预先应用必要的预处理，如人脸检测、人脸解析和 VAE 编码。在推理过程中，只涉及 UNet 和 VAE 解码器，这使得 MuseTalk 能够实时运行。
python -m scripts.realtime_inference --inference_config configs/inference/realtime.yaml --batch_size 4
configs/inference/realtime.yaml 是实时推理配置文件的路径，包括 preparation、video_path、bbox_shift 和 audio_clips。
在 realtime.yaml 中将 preparation 设置为 True 以准备新虚拟人的素材。（如果 bbox_shift 发生变化，您也需要重新准备素材。）
之后，虚拟人将使用从 audio_clips 中选择的音频片段来生成视频。
正在使用推理：data/audio/yongen.wav
当 MuseTalk 正在推理时，子线程可以同时将结果流式传输给用户。在 NVIDIA Tesla V100 上，生成过程可以达到 30fps+。
如果您想使用同一个虚拟人生成更多视频，将 preparation 设置为 False 并运行此脚本。
实时推理注意事项
如果您想使用同一个虚拟人/视频生成多个视频，您也可以使用此脚本显著加快生成过程。
在之前的脚本中，生成时间也受到 I/O（例如保存图像）的限制。如果您只想测试生成速度而不保存图像，可以运行：
python -m scripts.realtime_inference --inference_config configs/inference/realtime.yaml --skip_save_images
ameerazam08/MuseTalk
作者 ameerazam08
diffusers
↓ 0
♥ 4
创建时间: 2024-05-08 08:03:08+00:00
更新时间: 2024-05-08 08:20:48+00:00
在 Hugging Face 上查看文件 (1812)
.gitattributes
Dockerfile
LICENSE
README.md
app.py
assets/BBOX_SHIFT.md
assets/demo/man/man.png
assets/demo/monalisa/monalisa.png
assets/demo/musk/musk.png
assets/demo/sit/sit.jpeg
assets/demo/sun1/sun.png
assets/demo/sun2/sun.png
assets/demo/video1/video1.png
assets/demo/yongen/yongen.jpeg
assets/figs/landmark_ref.png
assets/figs/musetalk_arc.jpg
configs/inference/test.yaml
data/audio/sun.wav
data/audio/yongen.wav
data/video/fake.mp4
data/video/sun.mp4
data/video/yongen.mp4
entrypoint.sh
insta.sh
install_ffmpeg.sh
models/.gitattributes
models/.huggingface/.gitignore
models/.huggingface/download/.gitattributes.lock
models/.huggingface/download/.gitattributes.metadata
models/.huggingface/download/README.md.lock
models/.huggingface/download/README.md.metadata
models/.huggingface/download/musetalk/musetalk.json.lock
models/.huggingface/download/musetalk/musetalk.json.metadata
models/.huggingface/download/musetalk/pytorch_model.bin.lock
models/.huggingface/download/musetalk/pytorch_model.bin.metadata
models/README.md
models/dwpose/.gitattributes
models/dwpose/.huggingface/.gitignore
models/dwpose/.huggingface/download/.gitattributes.lock
models/dwpose/.huggingface/download/.gitattributes.metadata
models/dwpose/.huggingface/download/README.md.lock
models/dwpose/.huggingface/download/README.md.metadata
models/dwpose/.huggingface/download/dw-ll_ucoco.pth.lock
models/dwpose/.huggingface/download/dw-ll_ucoco.pth.metadata
models/dwpose/.huggingface/download/dw-ll_ucoco_384.onnx.lock
models/dwpose/.huggingface/download/dw-ll_ucoco_384.onnx.metadata
models/dwpose/.huggingface/download/dw-ll_ucoco_384.pth.lock
models/dwpose/.huggingface/download/dw-ll_ucoco_384.pth.metadata
models/dwpose/.huggingface/download/dw-mm_ucoco.pth.lock
models/dwpose/.huggingface/download/dw-mm_ucoco.pth.metadata
models/dwpose/.huggingface/download/dw-ss_ucoco.pth.lock
models/dwpose/.huggingface/download/dw-ss_ucoco.pth.metadata
models/dwpose/.huggingface/download/dw-tt_ucoco.pth.lock
models/dwpose/.huggingface/download/dw-tt_ucoco.pth.metadata
models/dwpose/.huggingface/download/rtm-l_ucoco_256-95bb32f5_20230822.pth.lock
models/dwpose/.huggingface/download/rtm-l_ucoco_256-95bb32f5_20230822.pth.metadata
models/dwpose/.huggingface/download/rtm-x_ucoco_256-05f5bcb7_20230822.pth.lock
models/dwpose/.huggingface/download/rtm-x_ucoco_256-05f5bcb7_20230822.pth.metadata
models/dwpose/.huggingface/download/rtm-x_ucoco_384-f5b50679_20230822.pth.lock
models/dwpose/.huggingface/download/rtm-x_ucoco_384-f5b50679_20230822.pth.metadata
models/dwpose/.huggingface/download/yolox_l.onnx.lock
models/dwpose/.huggingface/download/yolox_l.onnx.metadata
models/dwpose/README.md
models/dwpose/dw-ll_ucoco.pth
models/dwpose/dw-ll_ucoco_384.onnx
ONNX
models/dwpose/dw-ll_ucoco_384.pth
models/dwpose/dw-mm_ucoco.pth
models/dwpose/dw-ss_ucoco.pth
models/dwpose/dw-tt_ucoco.pth
models/dwpose/rtm-l_ucoco_256-95bb32f5_20230822.pth
models/dwpose/rtm-x_ucoco_256-05f5bcb7_20230822.pth
models/dwpose/rtm-x_ucoco_384-f5b50679_20230822.pth
models/dwpose/yolox_l.onnx
ONNX
models/face-parse-bisent/79999_iter.pth
models/face-parse-bisent/resnet18-5c106cde.pth
models/musetalk/musetalk.json
models/musetalk/pytorch_model.bin
models/sd-vae-ft-mse/.gitattributes
models/sd-vae-ft-mse/.huggingface/.gitignore
models/sd-vae-ft-mse/.huggingface/download/.gitattributes.lock
models/sd-vae-ft-mse/.huggingface/download/.gitattributes.metadata
models/sd-vae-ft-mse/.huggingface/download/README.md.lock
models/sd-vae-ft-mse/.huggingface/download/README.md.metadata
models/sd-vae-ft-mse/.huggingface/download/config.json.lock
models/sd-vae-ft-mse/.huggingface/download/config.json.metadata
models/sd-vae-ft-mse/.huggingface/download/diffusion_pytorch_model.bin.lock
models/sd-vae-ft-mse/.huggingface/download/diffusion_pytorch_model.bin.metadata
models/sd-vae-ft-mse/.huggingface/download/diffusion_pytorch_model.safetensors.lock
models/sd-vae-ft-mse/.huggingface/download/diffusion_pytorch_model.safetensors.metadata
models/sd-vae-ft-mse/README.md
models/sd-vae-ft-mse/config.json
models/sd-vae-ft-mse/diffusion_pytorch_model.bin
models/sd-vae-ft-mse/diffusion_pytorch_model.safetensors
models/whisper/tiny.pt
musetalk/models/__pycache__/unet.cpython-310.pyc
musetalk/models/__pycache__/vae.cpython-310.pyc
musetalk/models/unet.py
musetalk/models/vae.py
musetalk/utils/__init__.py
musetalk/utils/__pycache__/__init__.cpython-310.pyc
musetalk/utils/__pycache__/blending.cpython-310.pyc
musetalk/utils/__pycache__/preprocessing.cpython-310.pyc
musetalk/utils/__pycache__/utils.cpython-310.pyc
musetalk/utils/blending.py
musetalk/utils/dwpose/default_runtime.py
musetalk/utils/dwpose/rtmpose-l_8xb32-270e_coco-ubody-wholebody-384x288.py
musetalk/utils/face_detection/README.md
musetalk/utils/face_detection/__init__.py
musetalk/utils/face_detection/__pycache__/__init__.cpython-310.pyc
musetalk/utils/face_detection/__pycache__/api.cpython-310.pyc
musetalk/utils/face_detection/__pycache__/models.cpython-310.pyc
musetalk/utils/face_detection/__pycache__/utils.cpython-310.pyc
musetalk/utils/face_detection/api.py
musetalk/utils/face_detection/detection/__init__.py
musetalk/utils/face_detection/detection/__pycache__/__init__.cpython-310.pyc
musetalk/utils/face_detection/detection/__pycache__/core.cpython-310.pyc
musetalk/utils/face_detection/detection/core.py
musetalk/utils/face_detection/detection/sfd/__init__.py
musetalk/utils/face_detection/detection/sfd/__pycache__/__init__.cpython-310.pyc
musetalk/utils/face_detection/detection/sfd/__pycache__/bbox.cpython-310.pyc
musetalk/utils/face_detection/detection/sfd/__pycache__/detect.cpython-310.pyc
musetalk/utils/face_detection/detection/sfd/__pycache__/net_s3fd.cpython-310.pyc
musetalk/utils/face_detection/detection/sfd/__pycache__/sfd_detector.cpython-310.pyc
musetalk/utils/face_detection/detection/sfd/bbox.py
musetalk/utils/face_detection/detection/sfd/detect.py
musetalk/utils/face_detection/detection/sfd/net_s3fd.py
musetalk/utils/face_detection/detection/sfd/sfd_detector.py
musetalk/utils/face_detection/models.py
musetalk/utils/face_detection/utils.py
musetalk/utils/face_parsing/__init__.py
musetalk/utils/face_parsing/__pycache__/__init__.cpython-310.pyc
musetalk/utils/face_parsing/__pycache__/model.cpython-310.pyc
musetalk/utils/face_parsing/__pycache__/resnet.cpython-310.pyc
musetalk/utils/face_parsing/model.py
musetalk/utils/face_parsing/resnet.py
musetalk/utils/preprocessing.py
musetalk/utils/utils.py
musetalk/whisper/__pycache__/audio2feature.cpython-310.pyc
musetalk/whisper/audio2feature.py
musetalk/whisper/whisper/__init__.py
musetalk/whisper/whisper/__main__.py
musetalk/whisper/whisper/__pycache__/__init__.cpython-310.pyc
musetalk/whisper/whisper/__pycache__/audio.cpython-310.pyc
musetalk/whisper/whisper/__pycache__/decoding.cpython-310.pyc
musetalk/whisper/whisper/__pycache__/model.cpython-310.pyc
musetalk/whisper/whisper/__pycache__/tokenizer.cpython-310.pyc
musetalk/whisper/whisper/__pycache__/transcribe.cpython-310.pyc
musetalk/whisper/whisper/__pycache__/utils.cpython-310.pyc
musetalk/whisper/whisper/assets/gpt2/merges.txt
musetalk/whisper/whisper/assets/gpt2/special_tokens_map.json
musetalk/whisper/whisper/assets/gpt2/tokenizer_config.json
musetalk/whisper/whisper/assets/gpt2/vocab.json
musetalk/whisper/whisper/assets/mel_filters.npz
musetalk/whisper/whisper/assets/multilingual/added_tokens.json
musetalk/whisper/whisper/assets/multilingual/merges.txt
musetalk/whisper/whisper/assets/multilingual/special_tokens_map.json
musetalk/whisper/whisper/assets/multilingual/tokenizer_config.json
musetalk/whisper/whisper/assets/multilingual/vocab.json
musetalk/whisper/whisper/audio.py
musetalk/whisper/whisper/decoding.py
musetalk/whisper/whisper/model.py
musetalk/whisper/whisper/normalizers/__init__.py
musetalk/whisper/whisper/normalizers/basic.py
musetalk/whisper/whisper/normalizers/english.json
musetalk/whisper/whisper/normalizers/english.py
musetalk/whisper/whisper/tokenizer.py
musetalk/whisper/whisper/transcribe.py
musetalk/whisper/whisper/utils.py
packages.txt
requirements.txt
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