Nerogar/OneTrainer
OneTrainer is a diffusion model training framework supporting Stable Diffusion, FLUX, PixArt, and similar architectures.
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OneTrainer is a comprehensive training solution for diffusion-based image generation models. It supports full fine-tuning, LoRA, and embedding training methods across multiple model architectures including Stable Diffusion, FLUX, PixArt-Sigma, and others. The framework includes dataset tooling for automatic captioning using vision-language models like BLIP and WD-1.4, masked training for focused learning, EMA support, and integration with TensorBoard for training monitoring.
Frequently asked
- What is Nerogar/OneTrainer?
- OneTrainer is a diffusion model training framework supporting Stable Diffusion, FLUX, PixArt, and similar architectures.
- Is OneTrainer open source?
- Yes — Nerogar/OneTrainer is open source, released under the AGPL-3.0 license.
- What language is OneTrainer written in?
- Nerogar/OneTrainer is primarily written in Python.
- How popular is OneTrainer?
- Nerogar/OneTrainer has 3.1k stars on GitHub.
- Where can I find OneTrainer?
- Nerogar/OneTrainer is on GitHub at https://github.com/Nerogar/OneTrainer.