diff --git a/README.md b/README.md
index 9c44cff2c8e2..d3ac5702cd5f 100644
--- a/README.md
+++ b/README.md
@@ -353,7 +353,7 @@ Textual Inversion is a technique for capturing novel concepts from a small numbe
 
 ## Stable Diffusion Community Pipelines
 
-The release of Stable Diffusion as an open source model has fostered a lot of interesting ideas and experimentation. Our [Community Examples folder](https://github.com/huggingface/diffusers/tree/main/examples/community) contains many ideas worth exploring, like interpolating to create animated videos, using CLIP Guidance for additional prompt fidelity, term weighting, and much more! Take a look and [contribute your own](https://huggingface.co/docs/diffusers/using-diffusers/custom_pipelines).
+The release of Stable Diffusion as an open source model has fostered a lot of interesting ideas and experimentation. Our [Community Examples folder](https://github.com/huggingface/diffusers/tree/main/examples/community) contains many ideas worth exploring, like interpolating to create animated videos, using CLIP Guidance for additional prompt fidelity, term weighting, and much more! [Take a look](https://huggingface.co/docs/diffusers/using-diffusers/custom_pipeline_overview) and [contribute your own](https://huggingface.co/docs/diffusers/using-diffusers/contribute_pipeline).
 
 ## Other Examples
 
diff --git a/docs/source/using-diffusers/contribute_pipeline.mdx b/docs/source/using-diffusers/contribute_pipeline.mdx
index 6122a996e1c1..18e84cdfbc94 100644
--- a/docs/source/using-diffusers/contribute_pipeline.mdx
+++ b/docs/source/using-diffusers/contribute_pipeline.mdx
@@ -128,7 +128,7 @@ pipe = DiffusionPipeline.from_pretrained("google/ddpm-cifar10-32", custom_pipeli
 pipe()
 ```
 
-Another way to upload your custom_pipeline, besides sending a PR, is uploading the code that contains it to the Hugging Face Hub, [as exemplified here](https://huggingface.co/docs/diffusers/using-diffusers/custom_pipelines#loading-custom-pipelines-from-the-hub).
+Another way to upload your custom_pipeline, besides sending a PR, is uploading the code that contains it to the Hugging Face Hub, [as exemplified here](https://huggingface.co/docs/diffusers/using-diffusers/custom_pipeline_overview#loading-custom-pipelines-from-the-hub).
 
 **Try it out now - it works!**
 
diff --git a/docs/source/using-diffusers/custom_pipeline_overview.mdx b/docs/source/using-diffusers/custom_pipeline_overview.mdx
index b1e9c0ce6178..ae5bad2d7bf2 100644
--- a/docs/source/using-diffusers/custom_pipeline_overview.mdx
+++ b/docs/source/using-diffusers/custom_pipeline_overview.mdx
@@ -10,7 +10,7 @@ an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express o
 specific language governing permissions and limitations under the License.
 -->
 
-# Loading and Saving Custom Pipelines
+# Loading and Adding Custom Pipelines
 
 Diffusers allows you to conveniently load any custom pipeline from the Hugging Face Hub as well as any [official community pipeline](https://github.com/huggingface/diffusers/tree/main/examples/community) 
 via the [`DiffusionPipeline`] class.
diff --git a/src/diffusers/pipeline_utils.py b/src/diffusers/pipeline_utils.py
index 97e196e72338..bed37af1b8c2 100644
--- a/src/diffusers/pipeline_utils.py
+++ b/src/diffusers/pipeline_utils.py
@@ -303,8 +303,8 @@ def from_pretrained(cls, pretrained_model_name_or_path: Optional[Union[str, os.P
                         </Tip>
 
                 For more information on how to load and create custom pipelines, please have a look at [Loading and
-                Creating Custom
-                Pipelines](https://huggingface.co/docs/diffusers/main/en/using-diffusers/custom_pipelines)
+                Adding Custom
+                Pipelines](https://huggingface.co/docs/diffusers/using-diffusers/custom_pipeline_overview)
 
             torch_dtype (`str` or `torch.dtype`, *optional*):
             force_download (`bool`, *optional*, defaults to `False`):