Flux Gym

A concise FLUX LoRA training UI that supports low VRAM configurations.

CommonProductProgrammingAI TrainingMachine Learning

Flux Gym is a streamlined Web UI designed for FLUX LoRA model training, particularly suited for devices with 12GB, 16GB, or 20GB VRAM. It combines the user-friendliness of the AI-Toolkit project with the flexibility of Kohya Scripts, enabling users to train models without complex terminal operations. Flux Gym allows users to upload images and add descriptions through a simple interface, then start the training process.

Supports low VRAM configurations (12GB/16GB/20GB).
Front-end Web UI based on AI-Toolkit
providing an intuitive user interface.
Backend training scripts powered by Kohya Scripts
offering high flexibility.
One-click installation and launch
simplifying the installation process.
Allows users to upload images and add descriptions to trigger model training.
Provides comprehensive installation and usage guides for quick user onboarding.
Supports downloading and utilizing multiple model checkpoints

\Flux Gym is ideal for researchers and developers who need to train AI models on devices with limited resources. It simplifies the training process
allowing users without a strong programming background to easily get started.\

Researchers use Flux Gym to train text-to-image generation models on limited hardware resources.
Developers leverage Flux Gym for rapid testing and iteration of their LoRA models to optimize performance.
Educational institutions use Flux Gym as a teaching tool
allowing students to learn AI model training without increasing hardware costs.

First
install Flux Gym and its dependencies using the Pinokio 1-click launcher or manually.
Clone Fluxgym and kohya-ss/sd-scripts to your local machine.
Activate the virtual environment according to your operating system
and install the necessary dependencies.

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