#88th of 8 in Image and video
FluxGym
Web UI for training FLUX LoRAs on 12 to 20 GB GPUs
- Stars
- 3.3k
- License
- MIT
- Last commit
- Jul 2026
Overview
Gradio front end (forked from AI-Toolkit) over Kohya sd-scripts that trains FLUX.1-dev LoRAs with 12 GB, 16 GB or 20 GB VRAM presets. Upload images, caption them with a trigger word and press start; base models download automatically and an Advanced tab exposes every sd-scripts flag. Runs via Pinokio, a manual venv or docker compose on port 7860, for hobbyists training FLUX LoRAs on consumer GPUs.
Who it is for: Hobbyists training FLUX LoRAs on consumer GPUs
Strengths
- VRAM presets for 12, 16 and 20 GB cards
- Advanced tab is generated from sd-scripts flags, so every option is reachable
- Sample images every N steps with fixed seeds to watch the LoRA evolve
- Publish trained LoRAs to Hugging Face from the UI
Weaknesses
- FLUX.1 only (dev, dev2pro, schnell); schnell results are called not recommended
- Manual install clones sd-scripts separately and uses PyTorch nightly builds
- Docker image must be built locally; PUID and PGID must match your user
- Last commit July 2026
What it needs
- GPU required
- Docker + Compose
- Needs kohya-ss/sd-scripts (sd3 branch)
- Models: Flux1-dev, Flux1-dev2pro, Flux1-schnell, custom bases via models.yaml
- port 7860
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