Installation

Installation

Install 🌍 Diffusers for whichever deep learning library you’re working with.

🌍 Diffusers is tested on Python 3.7+, PyTorch 1.7.0+ and Flax. Follow the installation instructions below for the deep learning library you are using:

• PyTorch installation instructions.

• Flax installation instructions.

Install with pip

You should install 🌍 Diffusers in a virtual environment. If you’re unfamiliar with Python virtual environments, take a look at this guide. A virtual environment makes it easier to manage different projects and avoid compatibility issues between dependencies.

Start by creating a virtual environment in your project directory:

Copied

python -m venv .env

Activate the virtual environment:

Copied

source .env/bin/activate

🌍 Diffusers also relies on the 🌍 Transformers library, and you can install both with the following command:

PytorchHide Pytorch contentCopied

pip install diffusers["torch"] transformers

JAXHide JAX contentCopied

pip install diffusers["flax"] transformers

Install from source

Before installing 🌍 Diffusers from source, make sure you have torch and 🌍 Accelerate installed.

For torch installation, refer to the torch installation guide.

To install 🌍 Accelerate:

Copied

pip install accelerate

Install 🌍 Diffusers from source with the following command:

Copied

pip install git+https://github.com/boincai/diffusers

This command installs the bleeding edge main version rather than the latest stable version. The main version is useful for staying up-to-date with the latest developments. For instance, if a bug has been fixed since the last official release but a new release hasn’t been rolled out yet. However, this means the main version may not always be stable. We strive to keep the main version operational, and most issues are usually resolved within a few hours or a day. If you run into a problem, please open an Issue, so we can fix it even sooner!

Editable install

You will need an editable install if you’d like to:

• Use the main version of the source code.

• Contribute to 🌍 Diffusers and need to test changes in the code.

Clone the repository and install 🌍 Diffusers with the following commands:

Copied

git clone https://github.com/boincai/diffusers.git
cd diffusers

PytorchHide Pytorch contentCopied

pip install -e ".[torch]"

JAXHide JAX contentCopied

pip install -e ".[flax]"

These commands will link the folder you cloned the repository to and your Python library paths. Python will now look inside the folder you cloned to in addition to the normal library paths. For example, if your Python packages are typically installed in ~/anaconda3/envs/main/lib/python3.7/site-packages/, Python will also search the ~/diffusers/ folder you cloned to.

You must keep the diffusers folder if you want to keep using the library.

Now you can easily update your clone to the latest version of 🌍 Diffusers with the following command:

Copied

cd ~/diffusers/
git pull

Your Python environment will find the main version of 🌍 Diffusers on the next run.

Notice on telemetry logging

Our library gathers telemetry information during from_pretrained() requests. This data includes the version of Diffusers and PyTorch/Flax, the requested model or pipeline class, and the path to a pre-trained checkpoint if it is hosted on the Hub. This usage data helps us debug issues and prioritize new features. Telemetry is only sent when loading models and pipelines from the BOINC AI Hub, and is not collected during local usage.

We understand that not everyone wants to share additional information, and we respect your privacy, so you can disable telemetry collection by setting the DISABLE_TELEMETRY environment variable from your terminal:

On Linux/MacOS:

Copied

export DISABLE_TELEMETRY=YES

On Windows:

Copied

set DISABLE_TELEMETRY=YES