OneTrainer
Modern alternative trainer for SD/SDXL/Flux.
Open Source 12–24 GB VRAM
- Min VRAM
- 12 GB
- GPU class
- High-end GPU
- Quant
- FP16
Actually FreeNo SignupOpen SourceWatermark-Free
Kohya_ss
The standard SDXL/Flux LoRA training UI.
Open Source 12–24 GB VRAMRuns locally
Actually FreeNo SignupOpen SourceWatermark-FreeHobbyist-Friendly
Visit Kohya_ssUpdated 2026-05-07 · Direct link
Hardware requirements
Runs locally · High-end GPU (16–24 GB)
Min VRAM
12 GB
Rec. VRAM
24 GB
Min RAM
32 GB
Rec. RAM
64 GB
Disk
100 GB
GPU class
High-end GPU
CUDA 12.xNo Apple SiliconGPU RequiredQuant: FP16, BF16, FP8
SDXL LoRA fits 12 GB. Flux LoRA realistically wants 24 GB with FP8 or block-swapping.
Screenshot placeholder · Kohya_ss
What is Kohya_ss?
The most-used GUI for training LoRAs, LyCORIS, and full fine-tunes on SD1.5, SDXL, SD3, and Flux. Sensible defaults plus every advanced knob you might need.
Pros & cons
Pros
- De-facto LoRA trainer
- Active community presets
- Supports Flux LoRA training
Cons
- Gradio UI is dense
- Flux training needs 24 GB+ realistically
What's actually free?
Free / OSS.
✓ Actually FreeNo SignupOpen SourceWatermark-Free