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
AuraSR V2 Today we released the second version of our single step GAN upscaler: AuraSR. We released AuraSR v1 last month and were encouraged by the community response so immediately started training a new version. AuraSR is based on the Adobe Gigagan paper using lucidrain’s implementation as a starting point. The
Introducing AuraFlow v0.1, an Open Exploration of Large Rectified Flow Models Open-source AI is in jeopardy. As community interest in AI models skyrocketed over the past year, we noticed that development of new open-source foundational models came to a halt. Some even boldly announced that open-source AI is dead. Not so fast! We are excited to present you the first release
Introducing AuraSR - An open reproduction of the GigaGAN Upscaler Today we are releasing AuraSR, a 600M parameter upsampler model derived from the GigaGAN paper. This model can upscale low-res images to 4x the resolution, and can be applied repeatedly. We are publishing this model under a truly open source license. AuraSR excels in upscaling images generated by text-to-image models.
fal News: Stable Diffusion 3 available now, ComfyUI workflows and more Greetings friends of fal! At fal, we are building the fastest and most reliable inference cloud for generative AI. We are thrilled to announce some major updates. Here’s what’s new: Stable Diffusion 3 Now Available Experience this state of the art text-to-image model from our friends at stability.
Introducing On-demand Preference Fine-Tuning for Image Models We’re excited to announce a simpler way to make our AI tools work better for you at fal.ai. Our latest feature lets enterprise users fine-tune their models with user preferences collected directly through their apps. This new service starts today, making it easier to tailor your model to
Introducing fal Model Endpoints Effortlessly serve your Python functions through a managed web server.
Introducing fal We are launching fal-serverless, a cloud based Python runtime that simplifies infrastructure for teams who are building data pipelines, analytics, ML training and inference.
