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+ ---
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+ license: creativeml-openrail-m
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+ language:
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+ - en
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+ pipeline_tag: text-to-image
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+ ---
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+
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+ # F Lite Texture Model Card
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+
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+ ![F Lite Texture mosaic](output_tight_mosaic.jpeg)
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+
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+ 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.
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+
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+ F Lite Texture is a specific version of the [F Lite](https://huggingface.co/Freepik/F-Lite) model that offers better textures and aesthetics on generated images, but doesn't work with short prompts and is worse for vectors generation.
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+
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+ ## Usage
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+
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+ Experience F Lite Texture instantly through our [interactive demo](https://huggingface.co/spaces/Freepik/F-Lite-Texture) on Hugging Face.
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+
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+ 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/Freepik/F-Lite).
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+
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+ # Technical Report
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+
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+ Read the [technical report](XXXXX) to learn more about the model details.
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+
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+ # Limitations and Bias
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+ * The models can generate malformations.
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+ * The text capabilities of the model are limited.
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+ * 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.
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+
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+ # Recommendations
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+ * Use long prompts to generate better results. Short prompts may result in low-quality images.
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+ * Generate images above the megapixel. Smaller images will result in low-quality images.
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+
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+ ## Acknowledgements
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+
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+ 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)
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+
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+ ## License
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+
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+ 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.
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+
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+ ## Citation
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+
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+ If you find our work helpful, please cite it!
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+
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+ ```
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+ @article{ryu2025flite,
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+ title={F-Lite Technical Report},
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+ author={Ryu, Simo and Pengqi, Lu and Mart\'in Juan, Javier and de Prado Alonso, Iv\'an},
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+ year={2025}
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+ }
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+ ```
output_tight_mosaic.jpeg ADDED

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