test change return

pipeline.py

@@ -1161,7 +1161,7 @@ class StableDiffusionLongPromptWeightingPipeline(StableDiffusionPipeline):
                         generator: Optional[torch.Generator] = None,
                         latents: Optional[torch.FloatTensor] = None,
                         max_embeddings_multiples: Optional[int] = 3,
-                        output_type: Optional[str] = "pil",
+                        output_type: Optional[str] = "np",
                         return_dict: bool = True,
                         callback: Optional[Callable[[int, int, torch.FloatTensor], None]] = None,
                         is_cancelled_callback: Optional[Callable[[], bool]] = None,
@@ -1184,9 +1184,10 @@ class StableDiffusionLongPromptWeightingPipeline(StableDiffusionPipeline):
             is_cancelled_callback=is_cancelled_callback,
             callback_steps=callback_steps,
         )
+        image_tensor = torch.from_numpy(image.images[0])
 
         resized_image = torch.nn.functional.interpolate(
-            image.images[0],size = (int(height*resize_scale), int(width*resize_scale)))
+            image_tensor, size=(int(height*resize_scale), int(width*resize_scale)))
 
         highres_image = self.__call__(prompt=prompt,
                                       negative_prompt=negative_prompt,