#!/bin/bash

# Set the checkpoints directory
CheckpointsDir="models"

# Create necessary directories
mkdir -p $CheckpointsDir/{musetalk,musetalkV15,syncnet,dwpose,face-parse-bisent,sd-vae-ft-mse,whisper}

# Install required packages
pip install -U "huggingface_hub[cli]"
pip install gdown

# Set HuggingFace endpoint
export HF_ENDPOINT=https://hf-mirror.com

# Download MuseTalk weights
huggingface-cli download TMElyralab/MuseTalk --local-dir $CheckpointsDir

# 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 (using gdown)
gdown --id 154JgKpzCPW82qINcVieuPH3fZ2e0P812 -O $CheckpointsDir/face-parse-bisent/79999_iter.pth

# Download ResNet weights
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!"