joliGEN provides generative AI tools for image and video tasks using GANs and diffusion models.

github.com/jolibrain/joliGEN
joliGEN homepage screenshot

About joliGEN

joliGEN is a GitHub repository for an integrated framework for training custom generative AI image-to-image models. It implements GAN, diffusion, and consistency models for paired and unpaired image translation, including domain and style adaptation. The project aims to preserve semantic content such as image classes, object masks, and annotations during translation.

The homepage lists use cases including augmented reality, object insertion and removal, simulation-to-real translation, and image generation to enrich datasets. A server with a REST API is provided for deployment and use, and the project includes a Dockerized server. The homepage states support for both CPU and GPU. It also notes that the framework has a large number of options and parameters, and it points to Quickstarts for new users.

Key features

  • Image-to-image translation with GAN, diffusion, and consistency models
  • Paired and unpaired image translation for domain and style adaptation
  • Preservation of bounding boxes, masks, and classes during translation
  • Discriminator options including projected and vision-aided models
  • REST API server with Docker packaging
  • Output quality metrics including FID, PSNR, and KID
Best for: Developers and research or engineering teams who want to train custom image-to-image generative models for tasks such as dataset augmentation or object insertion.
Good for
  • Combines GAN, diffusion, and consistency model approaches in one framework.
  • Provides a REST API server and a Dockerized server for deployment.
  • Supports both CPU and GPU.
Watch out for
  • Has a large scope of options and parameters, which the homepage notes can be overwhelming for new users.

joliGEN at a glance

Type
Open-source project
Pricing
Not confirmed. Check the site
Open source
Not stated
Language
English
Last checked
Oct 6, 2026 · Online when checked
Listed
Oct 5, 2026

joliGEN alternatives

Tools and sites you could use instead, ranked by how closely they match.

All 24 alternatives

Popular in AI Image Generators

Well-known listings from the same topic.

All 363

joliGEN FAQ

Where should a new user start?
The homepage recommends following the simple Quickstarts, which include a GAN Quickstart and a Diffusion Quickstart.
Can it be deployed in production?
The homepage mentions production-grade deployment in C++ via DeepDetect, and a server with a REST API for simplified deployment.
Does it require a GPU?
The homepage states support for both CPU and GPU.
Is something wrong or out of date?

Tell us and an editor will check it.

Own this website?

Claim the listing and suggest updates yourself. An editor checks every claim first.

Claim this listing