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---
license: creativeml-openrail-m
language:
- en
pipeline_tag: text-to-image
---
# F Lite Model Card
F Lite is a 10B parameter diffusion model created by [Freepik](https://www.freepik.com) and [Fal](https://fal.ai), 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](https://huggingface.co/spaces/Freepik/F-Lite) on Hugging Face or at [fal.ai](https://fal.ai/models/fal-ai/f-lite/standard).
F Lite works with both the `diffusers` library and [ComfyUI](https://www.comfy.org/). For details, see the [F Lite GitHub repository](https://github.com/fal-ai/f-lite).
# Technical Report
Read the [technical report](https://github.com/fal-ai/f-lite/blob/main/assets/F%20Lite%20Technical%20Report.pdf) 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 XXL](https://huggingface.co/google/t5-v1_1-xxl)and [Flux Schnell VAE](https://huggingface.co/black-forest-labs/FLUX.1-schnell)
## 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}
}
``` |