Model reference · open weights

F-Lite-Texture

Image Freepik Text→image 1 build Open weights 10 dl/mo

F-Lite-Texture is an open-weight image model from Freepik. F-Lite-Texture (BF16) weighs 29.4 GB; the smallest configuration that runs it is RTX 5090 32 GB.

  • F-Lite-Texture is a 10B parameter text-to-image diffusion model developed by Freepik and Fal.
  • It is a variant of F Lite designed to produce better textures and aesthetics in generated images, though it performs poorly with short prompts and is less effective for vector graphics.
  • The model uses the T5 XXL text encoder and Flux Schnell VAE, and its weights are licensed under the CreativeML Open RAIL-M license.

Summary of the Freepik/F-Lite-Texture model card, 2026-10-01

What it is

Released byFreepik
Released2025-04-23
VRAM29.4 GB for the weights

What it runs on

Memory and cards for F-Lite-Texture (BF16)

29.4 GBweights, file size
19.7 GBbiggest part
5.0 GBworking memory, one 1024² image
537 MBruntime overhead
CardOne imageMemory
RTX 3060 12 GB … RTX 4090 24 GBdoes not fit
RTX 5090 32 GBfits (encoders offloaded)31.0 GB
L40S 48 GBfits44.0 GB
A100 80 GBfits78.2 GB
H100 80 GBfits78.1 GB
RTX PRO 6000 Blackwell 96 GBfits93.8 GB
DGX Spark (GB10) 128 GB unifiedfits107 GB
H200 141 GBfits138 GB
B200 180 GBfits176 GB

From the model card

What Freepik says about F-Lite-Texture

Read the model card

F Lite is a 10B parameter diffusion model created by Freepik and Fal, 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.

F Lite Texture is a variant of F Lite that produces better textures and aesthetics in generated images, but performs poorly with short prompts and is less effective for vector graphics.

Usage

Experience F Lite Texture instantly through our interactive demo on Hugging Face of at fal.ai.

F Lite Texture works with both the diffusers library and ComfyUI. For details, see the F-Lite GitHub repository.

Technical Report

Read the technical report 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 XXLand Flux Schnell VAE

License

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.

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}
}

Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.

How it works

How image models work

Text promptwhat to makeText encoderunderstands itDiffusion stepsdenoise to pixelsImagePNG / JPEGA diffusion model starts from noise and denoises it, guided by your prompt, into a finished image.

Running it yourself

Run it on a rented GPU

Rent a machine by the hour. How to run this model is on its model card.

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