device changes

app.py

@@ -48,11 +48,15 @@ ckpt = "sdxl_lightning_4step_unet.safetensors"  # Use the correct ckpt for your
 # pipe.scheduler = EulerDiscreteScheduler.from_config(pipe.scheduler.config, timestep_spacing="trailing")
 # pipe = pipe.to(device)
 
-unet = UNet2DConditionModel.from_config(base, subfolder="unet").to("cuda")
-unet.load_state_dict(load_file(hf_hub_download(repo, ckpt), device="cuda"))
-pipe = StableDiffusionXLPipeline.from_pretrained(base, unet=unet).to("cuda")
+
+# Load model.
+unet = UNet2DConditionModel.from_config(base, subfolder="unet").to(device)
+unet.load_state_dict(load_file(hf_hub_download(repo, ckpt), device=device))
+pipe = StableDiffusionXLPipeline.from_pretrained(base, unet=unet).to(device)
 pipe.scheduler = EulerDiscreteScheduler.from_config(pipe.scheduler.config, timestep_spacing="trailing")
 
+
+
 # Load resadapter
 pipe.load_lora_weights(
     hf_hub_download(
@@ -63,6 +67,8 @@ pipe.load_lora_weights(
     adapter_name="res_adapter",
 )
 
+pipe = pipe.to(device)
+
 
 def randomize_seed_fn(seed: int, randomize_seed: bool) -> int:
     if randomize_seed: