| --- |
| license: creativeml-openrail-m |
| language: |
| - en |
| pipeline_tag: text-to-image |
| --- |
| |
| # F Lite 7B Model Card |
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| F Lite 7B is a **7 B parameter** diffusion model developed by [Freepik](https://www.freepik.com) and [Fal](https://fal.ai). |
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| It has been built through knowledge distillation from [F Lite](https://huggingface.co/Freepik/F-Lite) and, as such, it delivers image quality comparable to its larger sibling while being faster and more memory-efficient. It also preserves the same copyright-safe, SFW generation characteristics as F Lite. |
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| ## Usage |
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| Try F Lite 7B instantly through our [interactive demo](https://huggingface.co/spaces/Freepik/F-Lite-7B) on Hugging Face. |
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| F Lite 7B 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). |
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| ## Technical Report |
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| Read the [technical report](https://github.com/fal-ai/f-micro/blob/main/assets/F%20Micro%20Technical%20Report.pdf) to learn more about the model architecture, training recipe and evaluation. |
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| ## Limitations and Bias |
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| * Like its teacher, the model can generate malformations. |
| * Text rendering capabilities remain limited. |
| * Despite careful curation, societal and aesthetic biases can still emerge. |
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| ## Recommendations |
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| * Longer, descriptive prompts improve quality; very short prompts may yield sub-optimal images. |
| * Generate images above the megapixel mark; low resolutions reduce fidelity. |
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| ## Acknowledgements |
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| This model relies on high-quality components including [T5 XXL](https://huggingface.co/google/t5-v1_1-xxl) for prompt encoding and the [Flux Schnell VAE](https://huggingface.co/black-forest-labs/FLUX.1-schnell) for efficient latent-space compression. |
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| ## License |
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| The F Lite 7B weights are released under the permissive **CreativeML Open RAIL-M** license. Dependencies inherit their respective licenses (Apache 2.0 for T5 XXL and Flux Schnell VAE). |
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| ## Citation |
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| ```bibtex |
| @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} |
| } |
| ``` |
