## Community

In addition, we provide **community** examples, which are examples added and maintained by our community.
Community examples can consist of both *training* examples or *inference* pipelines.
For such examples, we are more lenient regarding the philosophy defined above and also cannot guarantee to provide maintenance for every issue.
Examples that are useful for the community, but are either not yet deemed popular or not yet following our above philosophy should go into the [community examples](https://github.com/huggingface/diffusers/tree/main/examples/community) folder. The community folder therefore includes training examples and inference pipelines.
**Note**: Community examples can be a [great first contribution](https://github.com/huggingface/diffusers/issues?q=is%3Aopen+is%3Aissue+label%3A%22good+first+issue%22) to show to the community how you like to use `diffusers` 🪄.

## Research Projects

We also provide **research_projects** examples that are maintained by the community as defined in the respective research project folders. These examples are useful and offer the extended capabilities which are complementary to the official examples. You may refer to [research_projects](https://github.com/huggingface/diffusers/tree/main/examples/research_projects) for details.

## Important note

To make sure you can successfully run the latest versions of the example scripts, you have to **install the library from source** and install some example-specific requirements. To do this, execute the following steps in a new virtual environment:
```bash
git clone https://github.com/huggingface/diffusers
cd diffusers
pip install .
```
Then cd in the example folder of your choice and run
```bash
pip install -r requirements.txt
```
The context provides a direct link to where the community examples for the Hugging Face diffusers can be found. It specifies that these examples are located in the "community examples" folder within the GitHub repository, and even provides the URL to access this folder. This information clearly and unambiguously answers the question.


This question is quite useful for machine learning developers who are working with the Hugging Face ecosystem, specifically those interested in using or contributing to the diffusers library. Community examples can provide practical insights, help developers understand how to implement specific features, and offer inspiration for new projects. Knowing where to find these examples can significantly enhance a developer's ability to effectively use the library and learn from the community.


The question "Where can community examples for the Hugging Face diffusers be found?" is context-independent because it is clear and specific. It asks for the location of community examples related to Hugging Face diffusers, which is a well-defined topic. An operator with access to documentation or knowledge about Hugging Face would understand what is being asked without needing additional context.

