Home/Model Training/OneTrainer

OneTrainer

Nerogar/OneTrainer

A comprehensive tool for Diffusion model training

GitHub

GraphCanon updated 2d · GitHub synced 2d

3.2k stars323 forksLast push 5d Python AGPL-3.0

Decision brief

OneTrainer specialises in diffusion model training with LORA techniques for fine-tuning image models.

Good fit when

For projects needing fine-tuning of diffusion models
When working on image-models that require advanced training protocols

Avoid when

If your project requires traditional machine learning algorithms over diffusion models
For scenarios not involving image or any form of media where diffusion model is unnecessary

Observed Jul 17, 2026 · Source: enrich:decision_facts

OneTrainer alternatives Trust report

Verify the decision

Maintenance and security

Full trust report

Maintenance: Very active (3d since push); As of 2d
Provenance: Not a fork · Personal account; As of 2d
Security (OSV): No lockfile; As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install OneTrainer

PyPI

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

ai-engineering-hub

Tutorials on LLMs, RAGs, and real-world AI agent applications

37k★

awesome-generative-ai-guide

A curated list for generative AI research and learning resources

29k★

awesome-generative-ai

A curated list of modern Generative Artificial Intelligence projects and services

13k★

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

OneTrainer offers features for fine-tuning and image-model-training using diffusion models with LORA techniques.

Capability facts

Languages: python
Source: github.language+pyproject.toml · Aug 23, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Aug 23, 2026)

> Installing OneTrainer requires Python >=3.10 and <3.14.

Source link

README

Installation

[!IMPORTANT] Installing OneTrainer requires Python >=3.10 and <3.14. You can download Python at https://www.python.org/downloads/windows/. Then follow the below steps.

Automatic installation

Clone the repository git clone https://github.com/Nerogar/OneTrainer.git
Run:
- Windows: Double click or execute install.bat
- Linux and Mac: Execute install.sh

Manual installation

Clone the repository git clone https://github.com/Nerogar/OneTrainer.git
Navigate into the cloned directory cd OneTrainer
Set up a virtual environment python -m venv venv
Activate the new venv:
- Windows: venv\scripts\activate
- Linux and Mac: Depends on your shell, activate the venv accordingly
Install the requirements pip install -r requirements.txt

[!Tip] Some Linux distributions are missing required packages for instance: On Ubuntu you must install libGL:
sudo apt-get update
sudo apt-get install libgl1
Additionally it's been reported Alpine, Arch and Xubuntu Linux may be missing tkinter. Install it via apk add py3-tk for Alpine and sudo pacman -S tk for Arch.

For agents

This page has a .md twin and JSON over the API.

/tools/nerogar-onetrainer.md GET /api/graphcanon/tools/nerogar-onetrainer GET /api/graphcanon/graph?tool=nerogar-onetrainer