Pipeline to cuda update

app.py

@@ -111,6 +111,8 @@ pipeline = StableDiffusionControlNetInpaintPipeline.from_pretrained(
     "stable-diffusion-v1-5/stable-diffusion-inpainting", controlnet=controlnet, torch_dtype=torch.float16
 )
 #pipeline.enable_model_cpu_offload()
+pipeline.to('cuda')
+
 
 def make_inpaint_condition(init_image, mask_image):
     init_image = np.array(init_image.convert("RGB")).astype(np.float32) / 255.0