Update app.py

app.py

@@ -10,16 +10,19 @@ from torchvision import transforms
 controlnet = ControlNetModel.from_pretrained(
     "briaai/ControlNet-Canny",
     torch_dtype=torch.float16
-)
-# force_zeros_for_empty_prompt=False
+).to('cuda')
 
 pipe = StableDiffusionXLControlNetPipeline.from_pretrained(
     "briaai/BRIA-2.0",
     controlnet=controlnet,
     torch_dtype=torch.float16,
+    device_map=0,
+    low_cpu_mem_usage=True,
+    offload_state_dict=True,
 ).to('cuda')
 pipe.enable_freeu(b1=1.1, b2=1.1, s1=0.5, s2=0.7)
 pipe.enable_xformers_memory_efficient_attention()
+pipe.force_zeros_for_empty_prompt = False
 
 low_threshold = 100
 high_threshold = 200