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F-Lite -> F Lite

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  1. README.md +7 -7
README.md CHANGED
@@ -5,17 +5,17 @@ language:
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  pipeline_tag: text-to-image
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  ---
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- # F-Lite Model Card
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- ![F-Lite mosaic](output_tight_mosaic.jpeg)
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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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  ## Usage
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- Experience F-Lite instantly through our [interactive demo](https://huggingface.co/spaces/Freepik/F-Lite) on Hugging Face.
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- 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).
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  # Technical Report
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  ## License
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- 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.
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  ## Citation
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@@ -44,7 +44,7 @@ If you find our work helpful, please cite it!
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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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  pipeline_tag: text-to-image
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  ---
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+ # F Lite Model Card
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+ ![F Lite mosaic](output_tight_mosaic.jpeg)
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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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  ## Usage
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+ Experience F Lite instantly through our [interactive demo](https://huggingface.co/spaces/Freepik/F-Lite) on Hugging Face.
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+ 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).
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  # Technical Report
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  ## License
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+ 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.
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  ## Citation
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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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  }