Hot on the heels of its new $140 million Series D fundraising round, the multi-modal enterprise AI media creation platform fal.ai, known simply as "fal" or "Fal" is back with a year-end surprise: a faster, more efficient, and cheaper version of the Flux.2 [dev] open source image model from Black Forest Labs.Fal's new model FLUX.2 [dev] Turbo is a distilled, ultra-fast image generation model that’s already outperforming many of its larger rivals on public benchmarks, and is available now on Hugging Face, though very importantly: under a custom Black Forest non-commercial license. It’s not a full-stack image model in the traditional sense, but rather a LoRA adapter—a lightweight performance enhancer that attaches to the original FLUX.2 base model and unlocks high-quality images in a fraction of the time.It’s also open-weight. And for technical teams evaluating cost, speed, and deployment control in an increasingly API-gated ecosystem, it's a compelling example of how taking open source models and optimizing them can achieve improvements in specific attributes — in this case, speed, cost, and efficiency. fal’s platform bet: AI media infrastructure, not just modelsfal is a platform for real-time generative media—a centralized hub where developers, startups, and enterprise teams can access a wide selection of open and proprietary models for generating images, video, audio, and 3D content. It counts more than 2 million developers among its customers, according to a recent press release.The platform runs on usage-based pricing, billed per token or per asset, and exposes these models through simple, high-performance APIs designed...