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FluxGym - AI Vision Tools Tool

Overview

FluxGym is a minimal web UI for training FLUX LoRA models on systems with limited VRAM. Built on a Gradio fork and powered by Kohya Scripts, it simplifies LoRA fine-tuning workflows for 12–20GB GPUs.

Key Features

  • Minimal web UI for FLUX LoRA model training
  • Optimized for low VRAM (12GB/16GB/20GB) systems
  • Built on Gradio UI (forked from AI-Toolkit)
  • Powered by Kohya Scripts backend
  • Simplifies LoRA fine-tuning workflows

Ideal Use Cases

  • Train FLUX LoRA models on limited-VRAM machines
  • Prototype LoRA fine-tuning experiments quickly
  • Develop and test LoRA workflows locally
  • Integrate into developer model training pipelines

Getting Started

  • Clone the repository from the GitHub URL
  • Install required dependencies and Kohya Scripts
  • Configure paths and training parameters in the UI
  • Launch the Gradio web interface
  • Upload datasets and start LoRA training jobs

Pricing

Not disclosed

Limitations

  • Focused specifically on FLUX LoRA model training
  • Requires Kohya Scripts and a compatible Gradio environment
  • Repository-based project; no hosted service provided

Key Information

  • Category: Vision Tools
  • Type: AI Vision Tools Tool
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