Update app.py

app.py

@@ -14,9 +14,6 @@ if torch.cuda.is_available():
 else:
     torch_dtype = torch.float32
 
-pipe = DiffusionPipeline.from_pretrained(model_id, torch_dtype=torch_dtype)
-pipe = pipe.to(device)
-
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024
 
@@ -39,8 +36,10 @@ def infer(
 
     generator = torch.Generator().manual_seed(seed)
 
+    pipe = DiffusionPipeline.from_pretrained(model_id, torch_dtype=torch_dtype)
+    pipe = pipe.to(device)
+
     image = pipe(
-        model_id = model_id,
         prompt=prompt,
         negative_prompt=negative_prompt,
         guidance_scale=guidance_scale,