Skip to main content

No project description provided

Project description

Diffusion Model Playground

GitHub Actions Workflow Status GitHub Release PyPI - Python Version GitHub Repo stars

This is a simplified framework to train and run diffusion models.

Getting Started

To get started, simply install the python package from PyPI:

pip install diffusion-model-framework

Then, you're ready to start setting up your own training process. For help getting started with that, have a look at some of the examples.

Installing the package

Thanks to poetry, installing this package is very simple and can be done in a single command. Simply run:

poetry install

That's it, the package is installed. Move to the next section to learn how to use this package.

Building from source

Installing Poetry

This tool uses poetry. If you already have poetry installed, please skip to the next section. Otherwise, let's first setup poetry.

To install poetry, simply run this command:

curl -sSL https://install.python-poetry.org | python3 -

You can find out more about poetry installation here.

That's it, poetry is set up.

Installing and building locally

Installing the package via poetry is very simple. Simply run:

poetry install

You can now start using the package to train your diffusion model. For example, try running:

poetry run python3 examples/train_model.py

Building a wheel is also possible via:

poetry build

Building the documentation

First you will need to install the dependency group used for documentation.

poetry install --with documentation

Now you can build the documentation using Sphinx by running:

poetry run sphinx-build -M html docs/source/ docs/build

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

diffusion_model_framework-0.1.1.tar.gz (13.0 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file diffusion_model_framework-0.1.1.tar.gz.

File metadata

File hashes

Hashes for diffusion_model_framework-0.1.1.tar.gz
Algorithm Hash digest
SHA256 c99502cd58a52d6487afaf84cab823173e0c02983ca07acc542114b0b4807d21
MD5 7171149ae8640c5ad74228208c4c702e
BLAKE2b-256 dde9ee5a3c310d8d0e5e58d88d3bd5fafe7d7ee22809c14bd82190efe751f91b

See more details on using hashes here.

File details

Details for the file diffusion_model_framework-0.1.1-py3-none-any.whl.

File metadata

File hashes

Hashes for diffusion_model_framework-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 c5dbdb344680ab6e9a0924cf55f6056ce104a15e0c9b9e08d88d7be352c7dc70
MD5 24f28c05688f0f27d72f7ce7ba667674
BLAKE2b-256 505867274ace6ded74d31a8e096f4c539508a8c91e398572f6d4e76d23c46bd0

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page