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DATASHEET // ONETRAINER

OneTrainer

Modern alternative trainer for SD/SDXL/Flux.

OPEN SOURCE12–24 GB VRAMRuns locally
Actually FreeNo SignupOpen SourceWatermark-FreeHobbyist-OK
Visit OneTrainerUPDATED 2026-04-20 · DIRECT LINK
github.com/Nerogar/OneTrainer
OneTrainer — preview image

HARDWARE REQUIREMENTS //

Runs locally · High-end GPU (16–24 GB)

12–24 GB VRAM
Min VRAM
12 GB
Rec. VRAM
24 GB
Min RAM
32 GB
Rec. RAM
64 GB
Disk
80 GB
GPU class
High-end GPU
CUDA 12.xNo Apple SiliconGPU RequiredQuant: FP16, BF16

SDXL LoRA fits 12 GB. Flux LoRA wants 24 GB.

[ EDITORIAL PICK ]

Why we recommend OneTrainer

DERIVED FROM METADATA — NOT SPONSORED
  • Open source

    Source is public — you can audit it, fork it, and you'll never lose access to your workflows if OneTrainer the company changes direction.

  • Runs on 12 GB

    Comfortable on a mid-range consumer card — no need to remortgage for an A100.

  • 2 quant formats

    Supports FP16, BF16 — you can dial VRAM use up or down to match your card.

  • Beginner-friendly

    You don't need to read a paper before getting your first result — sensible defaults and a quick install.

[ EVIDENCE NOTE ]

Documentation-led datasheet

This page summarizes upstream documentation, release information, and editorially reviewed catalogue fields. It is not presented as a hands-on benchmark. Verify changing requirements at the official project; report stale data through our corrections channel.

Training guide

AT-A-GLANCE SIGNALS //

DERIVED FROM THIS PAGE'S DATA
  • Install difficulty
    Standard

    A standard local install — download, install dependencies, point at your GPU.

  • Hardware comfort
    Mainstream

    Needs 12 GB minimum — RTX 3060 12GB or 4070 territory.

  • Ecosystem
    Active community

    Open source plus 3 community resources we've vetted — there are people to ask.

  • Verification
    Recent

    Catalogue entry last updated 87 days ago — re-verification due soon.

[ COMMUNITY GUIDES & WORKFLOWS ]

Tutorials & deep-dives for OneTrainer

Hand-picked from YouTube, Reddit, GitHub, and the wider web. Each link goes straight to the source — we don't intercept or rewrite anything.

[ MORE IN THIS NICHE ]

Other training & fine-tuning tools we rate

Three picks across different tradeoffs — so you don't end up with three near-clones of OneTrainer.

What is OneTrainer?

OneTrainer is a cleaner, more modern training UI than Kohya for many use cases. Strong concept training, masked training, and presets for SDXL & Flux.

Pros & cons

✓ PROS

  • Cleaner UI than Kohya
  • Masked training is excellent
  • Good docs

– CONS

  • Smaller community
  • Fewer ready-made configs floating around

What's actually free?

Free / OSS.

✓ Actually FreeNo SignupOpen SourceWatermark-Free

Alternatives

Kohya_ss

The standard SDXL/Flux LoRA training UI.

OPEN SOURCE12–24 GB VRAM
VRAM fit12–24 GB