--- license: creativeml-openrail-m language: - en pipeline_tag: text-to-image --- # F Lite 7B Model Card ![F Lite 7B mosaic](f_lite_7b_gallery.jpg) F Lite 7B is a **7 B parameter** diffusion model developed by [Freepik](https://www.freepik.com) and [Fal](https://fal.ai). 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. ## Usage Try F Lite 7B instantly through our [interactive demo](https://huggingface.co/spaces/Freepik/F-Lite-7B) on Hugging Face or at [fal.ai](https://fal.ai/models/fal-ai/f-lite/7b). F Lite 7B works with both the `diffusers` library and [ComfyUI](https://www.comfy.org/). For details, see the [F Lite 7B GitHub repository](https://github.com/fal-ai/f-lite). ## Technical Report 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. ## Limitations and Bias * Like its teacher, the model can generate malformations. * Text rendering capabilities remain limited. * Despite careful curation, societal and aesthetic biases can still emerge. ## Recommendations * Longer, descriptive prompts improve quality; very short prompts may yield sub-optimal images. * Generate images above the megapixel mark; low resolutions reduce fidelity. ## Acknowledgements 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. ## License 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). ## Citation ```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} } ```