Model Card v1

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README.md

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+
+# F-Lite Model Card
+
+![F-Lite 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.
+
+## Usage
+
+Experience F-Lite instantly through our [interactive demo](https://huggingface.co/spaces/Freepik/F-Lite) on Hugging Face.
+
+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/Freepik/F-Lite).
+
+# Technical Report
+
+Read the [technical report](XXXXX) 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}
+}
+```