Last updated 10-03-2024
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FLUX1.1 [pro]
Today, Black Forest Labs announces the launch of FLUX1.1 [pro] and the beta version of the BFL API. FLUX1.1 [pro] is the latest and most advanced model, featuring six times faster generation speeds compared to its predecessor, FLUX.1 [pro]. This new model also improves image quality, adheres better to prompts, and supports diverse outputs while providing an ideal tradeoff between image quality and inference speed. Additionally, FLUX1.1 [pro] will be available on platforms like Together.ai, Replicate, fal.ai, and Freepik.
The BFL API offers developers and enterprises the tools they need to integrate cutting-edge image generation technology into their own applications. Key features include advanced customization options, seamless scalability, and competitive pricing.
We are excited to see the innovative applications our users will create with these new tools. If you are passionate about innovation and want to make a real impact, consider joining our team.
Superior Speed and Efficiency: FLUX1.1 [pro] generates images six times faster than its predecessor, reducing latency and improving workflow efficiency.
Improved Performance: Achieves the highest overall Elo score on the Artificial Analysis image arena, exceeding all other models.
Fast High-Resolution Generation: Supports ultra high-resolution image generation up to 2k without compromising on prompt adherence.
Advanced Customization: Allows users to tailor outputs based on model choice, image resolution, and content moderation.
Competitive Pricing: Offers high-quality image generation at a lower cost with specific pricing for different model suites.
1) What are the key advantages of the BFL API?
The BFL API offers advanced customization, scalability, and competitive pricing.
2) What is the maximum resolution supported by FLUX1.1 [pro]?
You can generate images up to 2k resolution without sacrificing prompt adherence.
3) Which platforms will support FLUX1.1 [pro]?
Yes, FLUX1.1 [pro] is available on Together.ai, Replicate, fal.ai, and Freepik.
4) How can I get started with the BFL API?
Visit docs.bfl.ml to get started with the BFL API.