FluxGym
Web UI for FLUX LoRA training on GPUs with 12 to 20 GB of VRAM, built on Kohya sd-scripts.
About
FluxGym pairs a simple Gradio front end with the Kohya sd-scripts training backend so that FLUX LoRA training works on 12, 16, or 20 GB GPUs instead of the 24 GB and up that most trainers assumed. Created by cocktailpeanut, the author of the Pinokio launcher, it installs with one click through Pinokio or manually with a Python virtual environment, and a Docker deployment option exists as well. The interface covers the whole training loop: it downloads base models automatically, supports Flux1-dev, Flux1-dev2pro, and Flux1-schnell along with custom base models, captions datasets, generates sample images during training with advanced sampling flags, and can publish finished LoRAs straight to Hugging Face. An advanced tab exposes the full range of Kohya sd-scripts options for users who outgrow the defaults, so simplicity does not cap what the tool can do. The project is MIT licensed with about 3,200 stars, and its low barrier to entry made it a common first stop for hobbyists training their own FLUX LoRAs on consumer hardware.
Should you use FluxGym?
Pick it when
Pick FluxGym when you have a 12 to 20 GB GPU and want your first FLUX LoRA with minimal setup: one-click install through Pinokio, automatic base model download and captioning, and an advanced tab for when the defaults run out.
Look elsewhere when
Skip it when you need video models or several architectures from one tool: FluxGym is built around FLUX.1 variants, while AI Toolkit and Musubi Tuner both cover Wan video and newer image models like Qwen-Image.
Alternatives to FluxGym
- AI Toolkit
Covers 25 plus image architectures plus Wan and LTX video with layer targeting, but its example configs assume 24 GB cards versus 12 to 20 GB here.
- kohya-ss GUI
Same sd-scripts backend but adds DreamBooth and full fine-tuning across SD 1.5, SDXL, and FLUX.1, with dense tabs that take longer to learn than FluxGym's short flow.
- Musubi Tuner
Kohya's newer trainer for FLUX.2, Qwen-Image, and video models with block swapping, but command line and TOML only rather than a Gradio UI.
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Details
- Category
- Diffusion Model Tools & UIs
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Easy (2/5)
- License
- MIT
- Minimum VRAM
- 12 GB
- Added
- Jul 29, 2026