Serverless GPU endpoints for image, video and audio generation
Fal.ai is a serverless inference platform built for generative media, so developers can call image, video, audio and 3D models without provisioning GPUs. Endpoints are tuned for latency: diffusion pipelines are optimised to return results in seconds, and longer jobs run through a queue with webhooks or streaming responses. A model gallery provides ready-made endpoints with example requests, while custom deployments let you serve your own weights. You pay for GPU seconds rather than a subscription, which suits spiky workloads and penalises continuous generation.
Last updated: 2026-09-20. This site only provides an index; for exact features, pricing, and licensing, see the official website.
generative media apis, image and video generation, serverless diffusion inference and custom model deployment
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Image generation and editing, video generation, audio and some 3D models, each exposed as its own endpoint with example requests. New models appear frequently, so browse the gallery rather than assuming a fixed catalogue.
You are charged for GPU time consumed by your requests, which makes occasional bursts cheap and continuous generation expensive. Set expectations with your own usage data before moving a production feature onto the platform.
Yes, custom endpoints let you serve your own weights and code with the same queue and API surface as the public models. That suits teams that have fine-tuned something and would rather not manage GPUs.
Developer console and API keys for the Claude model family
Node-based local interface for running image and video diffusion models
Browser playground for prompting and prototyping with Gemini models
Hosted Jupyter notebooks with optional free GPU and TPU runtimes