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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -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

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2 changes: 1 addition & 1 deletion docs/source/using-diffusers/contribute_pipeline.mdx
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Expand Up @@ -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!**

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2 changes: 1 addition & 1 deletion docs/source/using-diffusers/custom_pipeline_overview.mdx
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Expand Up @@ -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.
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4 changes: 2 additions & 2 deletions src/diffusers/pipeline_utils.py
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Expand Up @@ -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`):
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