README.md

---
license: creativeml-openrail-m
language:
- en
pipeline_tag: text-to-image
base_model:
- Freepik/F-Lite
---

# F Lite Texture Model Card

![F Lite Texture mosaic](output_tight_mosaic.jpeg)

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.

F Lite Texture is a variant of [F Lite](https://huggingface.co/Freepik/F-Lite) that produces better textures and aesthetics in generated images, but performs poorly with short prompts and is less effective for vector graphics.

## Usage

Experience F Lite Texture instantly through our [interactive demo](https://huggingface.co/spaces/Freepik/F-Lite-Texture) on Hugging Face of at [fal.ai](https://fal.ai/models/fal-ai/f-lite/texture).

F Lite Texture 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 Texture 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}
}
```