Change model precision to float32 for CPU compatibility

app.py

@@ -10,7 +10,7 @@ from SegBody import segment_body  # Import the segmentation function
 # Check if CUDA is available and set the device accordingly
 device = "cuda" if torch.cuda.is_available() else "cpu"
 
-# Load models with correct precision for CPU or GPU
+# Load models with the correct precision based on the device
 if device == "cuda":
     vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)  # Use fp16 for GPU
     pipeline = AutoPipelineForInpainting.from_pretrained(