Update app.py

app.py

@@ -34,7 +34,11 @@ pipe = StableDiffusion3Pipeline.from_pretrained(
     torch_dtype=torch.bfloat16
 )
 
-ip_model = IPAdapter(pipe, image_encoder_path, ipadapter_path, device="cuda", num_tokens=128)
+pipe.init_ipadapter(
+    ip_adapter_path=ip_adapter_path, 
+    image_encoder_path=image_encoder_path, 
+    nb_token=64, 
+)
 
 def resize_img(image, max_size=1024):
     width, height = image.size
@@ -68,13 +72,13 @@ def process_image(
     image = resize_img(image)
     
     # Generate the image
-    result = ip_model.generate(
-        pil_image=image,
+    result = pipe(
+        clip_image=image,
         prompt=prompt,
-        scale=scale,
+        ipadapter_scale=scale,
         width=width,
         height=height,
-        seed=seed
+        generator=torch.Generator("cuda").manual_seed(seed)
     )
     
     return result[0], seed