F-Lite Model Card

F-Lite is a 10B parameter diffusion model created by Freepik and Fal, trained exclusively on copyright-safe and SFW content. The model was trained on Freepik's internal dataset comprising approximately 80 million copyright-safe images, making it the first publicly available model of this scale trained exclusively on legally compliant and SFW content.

Usage

Experience F-Lite instantly through our interactive demo on Hugging Face.

F-Lite works with both the diffusers library and ComfyUI. For details, see the F-Lite GitHub repository.

Technical Report

Read the technical report to learn more about the model details.

Limitations and Bias

The models can generate malformations.
The text capabilities of the model are limited.
The model can be subject to biases, although we think we have a good balance given the quality and variety of the Freepik's dataset.

Recommendations

Use long prompts to generate better results. Short prompts may result in low-quality images.
Generate images above the megapixel. Smaller images will result in low-quality images.

Acknowledgements

This model uses T5 XXLand Flux Schnell VAE

License

The F-Lite weights are licensed under the permissive CreativeML Open RAIL-M license. The T5 XXL and Flux Schnell VAE are licensed under Apache 2.0.

Citation

If you find our work helpful, please cite it!

@article{ryu2025flite,
  title={F-Lite Technical Report},
  author={Ryu, Simo and Pengqi, Lu and Mart\'in Juan, Javier and de Prado Alonso, Iv\'an},
  year={2025}
}