FluxGym - AI Image Tools Tool
Overview
FluxGym is a dead simple web UI for training FLUX LoRA models with low VRAM support. Built on a Gradio UI fork and powered by Kohya Scripts, it simplifies LoRA fine-tuning on systems with limited VRAM (12GB/16GB/20GB).
Key Features
- Simple web UI for FLUX LoRA model training
- Low VRAM training support for 12GB/16GB/20GB GPUs
- Built on a Gradio UI fork (from AI-Toolkit)
- Powered by Kohya Scripts for training workflows
- Source code and issues available on GitHub
Ideal Use Cases
- Fine-tuning LoRA models on consumer GPUs
- Experimentation when GPU VRAM is limited
- Local model training without cloud dependency
- Rapid prototyping of vision LoRA fine-tuning
Getting Started
- Clone the FluxGym GitHub repository
- Install project dependencies following the README
- Prepare your dataset and LoRA training configuration
- Run the Gradio web UI to access training controls
- Configure Kohya Scripts options as needed
- Start a training run and monitor progress
Limitations
- Depends on Kohya Scripts and a Gradio UI fork
- Targeted for GPUs with approximately 12–20 GB VRAM; smaller GPUs may be unsupported
Key Information
- Category: Image Tools
- Type: AI Image Tools Tool