make style

Author: hlky

src/diffusers/loaders/ip_adapter.py

@@ -386,8 +386,8 @@ def load_ip_adapter(
             image_encoder_pretrained_model_name_or_path (`str`, *optional*, defaults to `./image_encoder`):
                 Can be either:
 
-                    - A string, the *model id* (for example `openai/clip-vit-large-patch14`) of a pretrained model hosted on
-                      the Hub.
+                    - A string, the *model id* (for example `openai/clip-vit-large-patch14`) of a pretrained model
+                      hosted on the Hub.
                     - A path to a *directory* (for example `./my_model_directory`) containing the model weights saved
                       with [`ModelMixin.save_pretrained`].
             cache_dir (`Union[str, os.PathLike]`, *optional*):

src/diffusers/pipelines/flux/pipeline_flux.py

@@ -756,7 +756,8 @@ def __call__(
                 Pre-generated image embeddings for IP-Adapter. It should be a list of length same as number of
                 IP-adapters. Each element should be a tensor of shape `(batch_size, num_images, emb_dim)`. If not
                 provided, embeddings are computed from the `ip_adapter_image` input argument.
-            negative_ip_adapter_image: (`PipelineImageInput`, *optional*): Optional image input to work with IP Adapters.
+            negative_ip_adapter_image:
+                (`PipelineImageInput`, *optional*): Optional image input to work with IP Adapters.
             negative_ip_adapter_image_embeds (`List[torch.Tensor]`, *optional*):
                 Pre-generated image embeddings for IP-Adapter. It should be a list of length same as number of
                 IP-adapters. Each element should be a tensor of shape `(batch_size, num_images, emb_dim)`. If not