Home/Model Training/OneTrainer

OneTrainer

Nerogar/OneTrainer

A comprehensive tool for Diffusion model training

GitHub

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

39views this month

3.2k stars327 forksLast push Sep 14, 2026 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 (4d since push); As of Sep 19, 2026
Provenance: Not a fork · Personal account; As of Sep 19, 2026
Security (OSV): No lockfile; As of Jul 11, 2026

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

Install

pip install OneTrainer

PyPI

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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 · Sep 19, 2026

Compatibility

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

Python runtimePython

Source: README excerpt (regex_v1, Sep 19, 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 1. Clone the repository 2. Run: Windows: Double click or execute Linux and Ma...

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