nmew

app.py

@@ -13,11 +13,10 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 
 # Inpainting pipeline
 
-'''
+
 unet = UNet2DConditionModel.from_pretrained("pablodawson/ldm3d-inpainting", cache_dir="cache", subfolder="unet", in_channels=9, low_cpu_mem_usage=False, ignore_mismatched_sizes=True)
 pipe = StableDiffusionLDM3DInpaintPipeline.from_pretrained("Intel/ldm3d-4c", cache_dir="cache" ).to(device)
 
-'''
 # Depth estimation
 model_type = "DPT_Large"     # MiDaS v3 - Large     (highest accuracy, slowest inference speed)
 #model_type = "DPT_Hybrid"   # MiDaS v3 - Hybrid    (medium accuracy, medium inference speed)