back 4

Author: zRzRzRzRzRzRzR

src/diffusers/pipelines/free_noise_utils.py

@@ -341,9 +341,9 @@ def _encode_prompt_free_noise(
                 start_tensor = negative_prompt_embeds[i].unsqueeze(0)
                 end_tensor = negative_prompt_embeds[i + 1].unsqueeze(0)
 
-                negative_prompt_interpolation_embeds[start_frame : end_frame + 1] = (
-                    self._free_noise_prompt_interpolation_callback(start_frame, end_frame, start_tensor, end_tensor)
-                )
+                negative_prompt_interpolation_embeds[
+                    start_frame : end_frame + 1
+                ] = self._free_noise_prompt_interpolation_callback(start_frame, end_frame, start_tensor, end_tensor)
 
         prompt_embeds = prompt_interpolation_embeds
         negative_prompt_embeds = negative_prompt_interpolation_embeds

src/diffusers/pipelines/pipeline_loading_utils.py

@@ -287,7 +287,9 @@ def maybe_raise_or_warn(
         model_cls = unwrapped_sub_model.__class__
 
         if not issubclass(model_cls, expected_class_obj):
-            raise ValueError(f"{passed_class_obj[name]} is of type: {model_cls}, but should be {expected_class_obj}")
+            raise ValueError(
+                f"{passed_class_obj[name]} is of type: {model_cls}, but should be" f" {expected_class_obj}"
+            )
     else:
         logger.warning(
             f"You have passed a non-standard module {passed_class_obj[name]}. We cannot verify whether it"

src/diffusers/pipelines/pipeline_utils.py

@@ -1449,8 +1449,8 @@ def download(cls, pretrained_model_name, **kwargs) -> Union[str, os.PathLike]:
 
             if load_components_from_hub and not trust_remote_code:
                 raise ValueError(
-                    f"The repository for {pretrained_model_name} contains custom code in {'.py, '.join([os.path.join(k, v) for k, v in custom_components.items()])} which must be executed to correctly "
-                    f"load the model. You can inspect the repository content at {', '.join([f'https://hf.co/{pretrained_model_name}/{k}/{v}.py' for k, v in custom_components.items()])}.\n"
+                    f"The repository for {pretrained_model_name} contains custom code in {'.py, '.join([os.path.join(k, v) for k,v in custom_components.items()])} which must be executed to correctly "
+                    f"load the model. You can inspect the repository content at {', '.join([f'https://hf.co/{pretrained_model_name}/{k}/{v}.py' for k,v in custom_components.items()])}.\n"
                     f"Please pass the argument `trust_remote_code=True` to allow custom code to be run."
                 )