Announcing Flux by Black Forest Labs: The Next Leap in Text-to-Image Models
Flux, the largest SOTA open source text-to-image model to date, developed by Black Forest Labs—the original team behind Stable Diffusion is now available on fal. Flux pushes the boundaries of creativity and performance with an impressive 12B parameters, delivering aesthetics reminiscent of Midjourney.
To play around with the model now, check out the demo page here on fal.
BFL has released three three variations of the model, all available all on fal:
- FLUX.1 [dev]: The base model, open-sourced with a non-commercial license for community to build on top of. fal Playground here.
- FLUX.1 [schnell]: A distilled version of the base model that operates up to 10 times faster. Apache 2 Licensed. To get started, fal Playground here.
- FLUX.1 [pro]: A closed-source version only available through API. fal Playground here.
With the integration of fal's cutting-edge inference engine, you can run Flux models up to 2x faster than with eager torch. This results in faster processing times while maintaining the exceptional quality and detail.
Key Features:
- Enhanced Image Quality: Generate stunning visuals at higher resolutions.
- Advanced Human Anatomy and Photorealism: Achieve highly realistic and anatomically accurate images.
- Improved Prompt Adherence: Get more accurate and relevant images based on your inputs.
- Exceptional Speed: Benefit from the speed and efficiency of Flux Schnell, ideal for high-demand applications.
Visit the fal Playgrounds or the API documentation and see firsthand how epic these models are.