DATASHEET // AI-TOOLKIT
AI-Toolkit (Ostris)
Modern training framework — Flux, SDXL, SD3 LoRAs in YAML.
OPEN SOURCE16–24 GB VRAMRuns locally
Actually FreeNo SignupOpen SourceWatermark-FreeHobbyist-OK
Visit AI-Toolkit (Ostris)UPDATED 2026-05-11 · DIRECT LINK
HARDWARE REQUIREMENTS //
Runs locally · High-end GPU (16–24 GB)
Min VRAM
16 GB
Rec. VRAM
24 GB
Min RAM
32 GB
Rec. RAM
64 GB
Disk
80 GB
GPU class
High-end GPU
12.1+No Apple SiliconGPU RequiredQuant: BF16, FP8
Flux LoRA needs 24 GB; SDXL LoRA fits in 16 GB with care.
[ EDITORIAL PICK ]
Why we recommend AI-Toolkit (Ostris)
- Open source
Source is public — you can audit it, fork it, and you'll never lose access to your workflows if AI-Toolkit (Ostris) the company changes direction.
- Top-tier pick
Power-user score 85/100 — consistently rated highly by people who use this every day, not just benchmark chasers.
- 2 quant formats
Supports BF16, FP8 — 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.
AT-A-GLANCE SIGNALS //
DERIVED FROM THIS PAGE'S DATA- Install difficultyStandard
A standard local install — download, install dependencies, point at your GPU.
- Hardware comfortEnthusiast
Needs 16 GB minimum — RTX 3090 / 4090 territory.
- EcosystemActive community
Open source plus 3 community resources we've vetted — there are people to ask.
- VerificationRecent
Catalogue entry last updated 66 days ago — re-verification due soon.
[ COMMUNITY GUIDES & WORKFLOWS ]
Tutorials & deep-dives for AI-Toolkit (Ostris)
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 AI-Toolkit (Ostris).
What is AI-Toolkit (Ostris)?
AI-Toolkit by Ostris is the current go-to for training Flux LoRAs and is rapidly becoming the modern equivalent of Kohya for SDXL/SD3. YAML-driven configs, tight memory optimisations (8-bit Adam, gradient checkpointing), and reliable training on 16-24 GB GPUs.
Pros & cons
✓ PROS
- Reliable Flux LoRA training on 24 GB
- YAML configs are version-controllable
- Tracks experiments via wandb / TensorBoard out of the box
– CONS
- Less documented than Kohya for older models
- Requires Python/CLI fluency
What's actually free?
MIT.
✓ Actually FreeNo SignupOpen SourceWatermark-Free
