diff --git a/src/diffusers/loaders/unet.py b/src/diffusers/loaders/unet.py
index 8bbec26189..a099267f40 100644
--- a/src/diffusers/loaders/unet.py
+++ b/src/diffusers/loaders/unet.py
@@ -998,7 +998,7 @@ class FromOriginalUNetMixin:
         if is_accelerate_available():
             unexpected_keys = load_model_dict_into_meta(model, diffusers_format_checkpoint, dtype=torch_dtype)
             if len(unexpected_keys) > 0:
-                logger.warn(
+                logger.warning(
                     f"Some weights of the model checkpoint were not used when initializing {cls.__name__}: \n {[', '.join(unexpected_keys)]}"
                 )
 
diff --git a/src/diffusers/pipelines/pipeline_utils.py b/src/diffusers/pipelines/pipeline_utils.py
index 9b34bda0b7..6843333254 100644
--- a/src/diffusers/pipelines/pipeline_utils.py
+++ b/src/diffusers/pipelines/pipeline_utils.py
@@ -1816,7 +1816,7 @@ class DiffusionPipeline(ConfigMixin, PushToHubMixin):
                 ):
                     original_class_obj[name] = component
                 else:
-                    logger.warn(
+                    logger.warning(
                         f"component {name} is not switched over to new pipeline because type does not match the expected."
                         f" {name} is {type(component)} while the new pipeline expect {component_types[name]}."
                         f" please pass the component of the correct type to the new pipeline. `from_pipe(..., {name}={name})`"