Update app.py

app.py

@@ -80,13 +80,7 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 
 
 # Load, init model
-controlnet = ControlNetModel().from_config('briaai/DEV-ControlNetInpaintingFast', torch_dtype=torch.float16)          
-controlnet.controlnet_cond_embedding = ControlNetConditioningEmbedding(
-    conditioning_embedding_channels=320,
-    conditioning_channels = 5
-)   
-
-# controlnet = ControlNetModel().from_pretrained("briaai/DEV-ControlNetInpaintingFast", torch_dtype=torch.float16)
+controlnet = ControlNetModel().from_pretrained("briaai/DEV-ControlNetInpaintingFast", torch_dtype=torch.float16)
 vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
 pipe = StableDiffusionXLControlNetPipeline.from_pretrained("briaai/BRIA-2.3", controlnet=controlnet.to(dtype=torch.float16), torch_dtype=torch.float16, vae=vae) #force_zeros_for_empty_prompt=False, # vae=vae)