Update app.py

app.py

@@ -9,7 +9,7 @@ from diffusers.utils import load_image
 device = "cuda" if torch.cuda.is_available() else "cpu"
 dtype = torch.float16 if torch.cuda.is_available() else torch.float32
 pipe = AutoPipelineForText2Image.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=dtype).to("cuda")
-pipe.load_ip_adapter("h94/IP-Adapter", subfolder="sdxl_models", weight_name="ip-adapter_sdxl.bin")
+#pipe.load_ip_adapter("h94/IP-Adapter", subfolder="sdxl_models", weight_name="ip-adapter_sdxl.bin")
 
 def randomize_seed_fn(seed: int, randomize_seed: bool) -> int:
     if randomize_seed:
@@ -42,15 +42,15 @@ def create_image(image_pil,
                 "down": {"block_2": [0.0, control_scale]},
                 "up": {"block_0": [0.0, control_scale, 0.0]},
             }
-        pipe.set_ip_adapter_scale(scale)
+        #pipe.set_ip_adapter_scale(scale)
 
-    style_image = load_image(image_pil)
+    #style_image = load_image(image_pil)
     generator = torch.Generator().manual_seed(randomize_seed_fn(seed, True))
     
     
     image = pipe(
         prompt=prompt,
-        ip_adapter_image=style_image,
+        #ip_adapter_image=style_image,
         negative_prompt=n_prompt,
         guidance_scale=guidance_scale,
         num_inference_steps=num_inference_steps,