fal.ai
The Workflow
7 steps · click a step number to mark it done
Open fal.ai and have it ready before you start
Sign in to your Fal.ai account or create a new account from the dashboard
Click ‘Create New Model’ and give your project a descriptive name
Upload your model files (e.g., a PyTorch .pth, TensorFlow SavedModel, or a zip containing code) or provide a GitHub URL
Select the runtime environment (Python version, required libraries) and add any environment variables your model needs
Press ‘Deploy’; Fal.ai will build a container, launch it, and generate a public REST endpoint URL
Copy the endpoint URL and test it with a sample payload using the built‑in test console or a curl command
Open the Monitoring tab to review latency, request count, and error rates, and set alerts if needed