Building Applications with Real-Time Stable Diffusion APIs In this blog post we would like to showcase fal’s real-time Stable Diffusion APIs that are powered by Latent Consistency Models (LCMs). These models have been getting a lot of hype lately because they allow you to generate images very quickly around 150ms as opposed to 10 seconds with
Introducing fal Model Endpoints Effortlessly serve your Python functions through a managed web server.
Accelerate Hyperparameter Tuning with fal We demonstrate how to speed up hyperparameter tuning using fal-serverless, so you can quickly explore the search space and find the best model configuration.
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.
