Merge 677a4dd096 into 745d449ca6

support for RTX 50xx

README.md

@@ -187,13 +187,14 @@ pip install -r requirements.txt
 
 **CUDA Execution Provider (Nvidia)**
 
-1. Install [CUDA Toolkit 11.8.0](https://developer.nvidia.com/cuda-11-8-0-download-archive)
-2. Install [cuDNN v8.9.7 for CUDA 11.x](https://developer.nvidia.com/rdp/cudnn-archive) (required for onnxruntime-gpu):
-   - Download cuDNN v8.9.7 for CUDA 11.x
+1. Install [CUDA Toolkit 12.8.0](https://developer.nvidia.com/cuda-12-8-0-download-archive)
+2. Install [cuDNN v8.9.7 for CUDA 12.x](https://developer.nvidia.com/rdp/cudnn-archive) (required for onnxruntime-gpu):
+   - Download cuDNN v8.9.7 for CUDA 12.x
    - Make sure the cuDNN bin directory is in your system PATH
 3. Install dependencies:
 
 ```bash
+pip install -U torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu128
 pip uninstall onnxruntime onnxruntime-gpu
 pip install onnxruntime-gpu==1.16.3
 ```

modules/processors/frame/face_swapper.py

@@ -28,11 +28,21 @@ models_dir = os.path.join(
 
 
 def pre_check() -> bool:
-    download_directory_path = abs_dir
+    # Use models_dir instead of abs_dir to save to the correct location
+    download_directory_path = models_dir
+    
+    # Make sure the models directory exists, catch permission errors if they occur
+    try:
+        os.makedirs(download_directory_path, exist_ok=True)
+    except OSError as e:
+        logging.error(f"Failed to create directory {download_directory_path} due to permission error: {e}")
+        return False
+    
+    # Use the direct download URL from Hugging Face
     conditional_download(
         download_directory_path,
         [
-            "https://huggingface.co/hacksider/deep-live-cam/blob/main/inswapper_128_fp16.onnx"
+            "https://huggingface.co/hacksider/deep-live-cam/resolve/main/inswapper_128_fp16.onnx"
         ],
     )
     return True