Welcome to the Diffusers Tutorials repository by vroger11! This collection of tutorials is designed to help you explore and understand the diffusers library by reproducing some exercises from the deeplearning.ai course and beyond (coming soon).
To get started, you’ll need to install the necessary dependencies. We recommend using Poetry to manage the project environment:
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Ensure you have Poetry installed. If not, you can follow the installation guide.
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Install the dependencies by running the following command:
poetry install
This will set up a virtual environment and install all the required packages specified in the pyproject.toml file. Then, you can use vscode to use this environment and run the notebooks.
All tutorials can be found in the tutorials folder. Each tutorial is paired with an in-depth blog post for further learning and context.
- Unconditional model: Learn how to build an unconditional diffusion model using the diffusers library.
- Conditional model: Dive into creating a conditional diffusion model using the diffusers library.
- Improve the conditional model: improve the results from the previous tutorial.