FluxGym

A simple local web interface for training FLUX LoRAs, with support for low-VRAM GPUs.

FreeProprietaryWindowsLinux
Official websitegithub.com

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About FluxGym

FluxGym is a local web interface for training LoRAs for the FLUX image model. You upload images, set captions and a few options, and it runs the training, with an advanced view for more settings and sample images during training.

It targets GPUs with limited VRAM. It can be installed with Docker or through the Pinokio launcher. It suits people who want to train a FLUX LoRA without learning a command-line training script.

Strengths

  • Simple interface for LoRA training
  • Works on GPUs with low VRAM
  • Docker and Pinokio install options

Limitations

  • Focused on FLUX LoRAs only
  • Fewer options than full training tools

Details

Pricing
FreeFree to download and run, with source on GitHub.
License
Proprietary
Developer
cocktailpeanut
Platforms
Windows, Linux
How it runs
Downloadable app
Account
Not required
Works offline
Yes
Best suited for
Training a FLUX LoRA on a consumer GPU with minimal setup
Last verified
Added

Alternatives to FluxGym

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Software that can replace FluxGym for an important use case, and what changes if you switch.

  • Kohya's GUI

    A local graphical interface for training LoRA models and fine-tuning Stable Diffusion image models.

    FreeProprietaryWindowsLinux

    Kohya's GUI is a graphical front end for sd-scripts with presets for Stable Diffusion LoRA training, offering more parameters but needing a GPU with substantial memory.

  • OneTrainer

    A desktop tool for training and fine-tuning diffusion image models, including LoRAs and embeddings.

    FreeProprietaryWindowsLinux

    OneTrainer covers several training methods for diffusion models, including LoRAs and embeddings, in one desktop tool, though its settings take time to learn and need a capable GPU.

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