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:
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:
python -m venv .env
Activate the virtual environment:
source .env/bin/activate
Now you’re ready to install 🤗 Diffusers with the following command:
For PyTorch
pip install diffusers["torch"]
For Flax
pip install diffusers["flax"]
Install from source
Before intsalling diffusers
from source, make sure you have torch
and accelerate
installed.
For torch
installation refer to the torch
docs.
To install accelerate
pip install accelerate
Install 🤗 Diffusers from source with the following command:
pip install git+https://github.com/huggingface/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:
git clone https://github.com/huggingface/diffusers.git
cd diffusers
For PyTorch
pip install -e ".[torch]"
For Flax
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 folder you cloned to: ~/diffusers/
.
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:
cd ~/diffusers/
git pull
Your Python environment will find the main
version of 🤗 Diffusers on the next run.