diff --git a/docker_images/diffusers/app/pipelines/image_to_image.py b/docker_images/diffusers/app/pipelines/image_to_image.py
index 6c921b2e..bbd5e1f0 100644
--- a/docker_images/diffusers/app/pipelines/image_to_image.py
+++ b/docker_images/diffusers/app/pipelines/image_to_image.py
@@ -39,13 +39,19 @@ def __init__(self, model_id: str):
 
         # This should allow us to make the image work with private models when no token is provided, if the said model
         # is already in local cache
-        cache_folder_name = file_download.repo_folder_name(repo_id=model_id, repo_type="model")
+        cache_folder_name = file_download.repo_folder_name(
+            repo_id=model_id, repo_type="model"
+        )
         filename = os.path.join(cache_folder_name, "hub_model_info.json")
         try:
-            with open(filename, 'r') as f:
+            with open(filename, "r") as f:
                 model_data = json.load(f)
         except OSError:
-            logger.info("No cached model info found in %s for model %s. Fetching on the hub", filename, model_id)
+            logger.info(
+                "No cached model info found in %s for model %s. Fetching on the hub",
+                filename,
+                model_id,
+            )
             model_data = model_info(model_id, token=self.use_auth_token)
         else:
             model_data = hf_api.ModelInfo(**model_data)
diff --git a/docker_images/diffusers/app/pipelines/text_to_image.py b/docker_images/diffusers/app/pipelines/text_to_image.py
index 7c92a5c9..4b6d46d3 100644
--- a/docker_images/diffusers/app/pipelines/text_to_image.py
+++ b/docker_images/diffusers/app/pipelines/text_to_image.py
@@ -30,13 +30,19 @@ def __init__(self, model_id: str):
 
         # This should allow us to make the image work with private models when no token is provided, if the said model
         # is already in local cache
-        cache_folder_name = file_download.repo_folder_name(repo_id=model_id, repo_type="model")
+        cache_folder_name = file_download.repo_folder_name(
+            repo_id=model_id, repo_type="model"
+        )
         filename = os.path.join(cache_folder_name, "hub_model_info.json")
         try:
-            with open(filename, 'r') as f:
+            with open(filename, "r") as f:
                 model_data = json.load(f)
         except OSError:
-            logger.info("No cached model info found in %s for model %s. Fetching on the hub", filename, model_id)
+            logger.info(
+                "No cached model info found in %s for model %s. Fetching on the hub",
+                filename,
+                model_id,
+            )
             model_data = model_info(model_id, token=self.use_auth_token)
         else:
             model_data = hf_api.ModelInfo(**model_data)
@@ -57,7 +63,9 @@ def __init__(self, model_id: str):
             model_type = "LoraModel"
         elif has_model_index:
             config_file = hf_hub_download(
-                model_id, "model_index.json", token=self.use_auth_token, local_files_only=self.offline,
+                model_id,
+                "model_index.json",
+                token=self.use_auth_token,
             )
             with open(config_file, "r") as f:
                 config_dict = json.load(f)