Kohya_ss
The standard SDXL/Flux LoRA training UI.
Open Source 12–24 GB VRAM
- Min VRAM
- 12 GB
- GPU class
- High-end GPU
- Quant
- FP16
Actually FreeNo SignupOpen SourceWatermark-Free
sd-scripts (Kohya)
The underlying scripts powering Kohya & most LoRA trainers.
Open Source 8–12 GB VRAMRuns locally
Actually FreeNo SignupOpen SourceWatermark-Free
Visit sd-scripts (Kohya)Updated 2026-05-06 · Direct link
Hardware requirements
Runs locally · Mid GPU (12 GB)
Min VRAM
8 GB
Rec. VRAM
12 GB
Min RAM
16 GB
Rec. RAM
32 GB
Disk
50 GB
GPU class
Mid GPU
11.8+Apple Silicon ✓GPU RequiredQuant: FP16, BF16, FP8
SD 1.5 LoRA fits in 8 GB; SDXL LoRA wants 12 GB; Flux 24 GB.
Screenshot placeholder · sd-scripts (Kohya)
What is sd-scripts (Kohya)?
Kohya's sd-scripts is the canonical reference implementation for Stable Diffusion fine-tuning — DreamBooth, LoRA, LyCORIS, TI, full fine-tune. The GUI projects (Kohya, FluxGym) wrap these scripts. Direct use suits CI, containerised training, and reproducibility.
Pros & cons
Pros
- Canonical reference impl — what the GUI projects wrap
- Reproducible: configs as plain JSON/TOML
- Maintained directly by Kohya
Cons
- CLI only — no GUI
- Documentation lives across GitHub issues + community wikis
What's actually free?
Apache 2.0.
✓ Actually FreeNo SignupOpen SourceWatermark-Free
Alternatives
AI-Toolkit (Ostris)
Modern training framework — Flux, SDXL, SD3 LoRAs in YAML.
Open Source 16–24 GB VRAM
- Min VRAM
- 16 GB
- GPU class
- High-end GPU
- Quant
- BF16
Actually FreeNo SignupOpen SourceWatermark-Free