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