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download_weights.sh
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51 lines (39 loc) · 1.69 KB
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#!/bin/bash
# Set the checkpoints directory
CheckpointsDir="models"
# Create necessary directories
mkdir -p models/musetalk models/musetalkV15 models/syncnet models/dwpose models/face-parse-bisent models/sd-vae models/whisper
# Install required packages
pip install -U "huggingface_hub[cli]"
pip install gdown
# Set HuggingFace mirror endpoint
export HF_ENDPOINT=https://hf-mirror.com
# Download MuseTalk V1.0 weights
huggingface-cli download TMElyralab/MuseTalk \
--local-dir $CheckpointsDir \
--include "musetalk/musetalk.json" "musetalk/pytorch_model.bin"
# Download MuseTalk V1.5 weights (unet.pth)
huggingface-cli download TMElyralab/MuseTalk \
--local-dir $CheckpointsDir \
--include "musetalkV15/musetalk.json" "musetalkV15/unet.pth"
# Download SD VAE weights
huggingface-cli download stabilityai/sd-vae-ft-mse \
--local-dir $CheckpointsDir/sd-vae \
--include "config.json" "diffusion_pytorch_model.bin"
# Download Whisper weights
huggingface-cli download openai/whisper-tiny \
--local-dir $CheckpointsDir/whisper \
--include "config.json" "pytorch_model.bin" "preprocessor_config.json"
# Download DWPose weights
huggingface-cli download yzd-v/DWPose \
--local-dir $CheckpointsDir/dwpose \
--include "dw-ll_ucoco_384.pth"
# Download SyncNet weights
huggingface-cli download ByteDance/LatentSync \
--local-dir $CheckpointsDir/syncnet \
--include "latentsync_syncnet.pt"
# Download Face Parse Bisent weights
gdown --id 154JgKpzCPW82qINcVieuPH3fZ2e0P812 -O $CheckpointsDir/face-parse-bisent/79999_iter.pth
curl -L https://download.pytorch.org/models/resnet18-5c106cde.pth \
-o $CheckpointsDir/face-parse-bisent/resnet18-5c106cde.pth
echo "✅ All weights have been downloaded successfully!"