Update app.py

app.py

@@ -104,6 +104,7 @@ def infer(
     if not use_controlnet:
         pipe = StableDiffusionPipeline.from_pretrained(base_model_id, torch_dtype=torch_dtype)
     else:
+        controlnet_image = cv2.resize(controlnet_image, (width, height), interpolation=cv2.INTER_AREA)
         controlnet = ControlNetModel.from_pretrained(
             controlnet_mode, torch_dtype=torch_dtype)
         pipe = StableDiffusionControlNetPipeline.from_pretrained(
@@ -119,6 +120,7 @@ def infer(
         pipe.unet = lora
 
     if use_ip_adapter:
+        ip_adapter_image = cv2.resize(ip_adapter_image, (width, height), interpolation=cv2.INTER_AREA)
         pipe.load_ip_adapter(
             "h94/IP-Adapter",
             subfolder="models",