diff --git a/download_weights.sh b/download_weights.sh
index 0faa0c9..affa5a9 100644
--- a/download_weights.sh
+++ b/download_weights.sh
@@ -4,34 +4,48 @@
 CheckpointsDir="models"
 
 # Create necessary directories
-mkdir -p $CheckpointsDir/{musetalk,musetalkV15,syncnet,dwpose,face-parse-bisent,sd-vae-ft-mse,whisper}
+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 endpoint
+# Set HuggingFace mirror endpoint
 export HF_ENDPOINT=https://hf-mirror.com
 
-# Download MuseTalk weights
-huggingface-cli download TMElyralab/MuseTalk --local-dir $CheckpointsDir
+# 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"
+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"
+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"
+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"
+huggingface-cli download ByteDance/LatentSync \
+  --local-dir $CheckpointsDir/syncnet \
+  --include "latentsync_syncnet.pt"
 
-# Download Face Parse Bisent weights (using gdown)
+# 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
 
-# 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!" 
\ No newline at end of file
+echo "✅ All weights have been downloaded successfully!"