Generative media infrastructure
How to use
fal.
Calling production media-generation models asynchronously and deploying custom image, video, audio, and multimodal workloads on serverless GPUs.
fal is a generative media model API and serverless GPU deployment platform. Calling production media-generation models asynchronously and deploying custom image, video, audio, and multimodal workloads on serverless GPUs. This guide covers the whole path in one place: official access, a first session that produces something reviewable, the checks that make output trustworthy, and the permissions worth limiting before you connect real work.
AI should make the work easier to inspect. If the workflow removes the source, the owner, or the review step, redesign the workflow.
Access & setup
Find, install, and sign in to fal
Get into the official fal experience with the right account and a setup you understand.
- 01
Start at https://fal.ai/ and confirm the domain before entering account or payment information.
- 02
Availability: fal is accessed through its web platform, HTTP and client APIs, and Python command-line tooling rather than a required desktop app.
- 03
A fal account and API key, network access, and a supported Python, JavaScript, or HTTP environment; custom deployments also require packaged model code and dependencies.
- 04
Sign in with the account you intend to keep using, then review plan, data, notification, and permission settings.
- 05
Run one low-risk test task before connecting sensitive files, repositories, or workspace data.
- Use official download pages.
- Review permissions during setup.
- Keep installers and applications updated.
First session
Your first useful fal session
Learn the interaction loop using a small task with a clear outcome.
- 01
Choose a current model and review its documented inputs, outputs, price, safety fields, and media behavior.
- 02
Store the API key server-side and submit a non-sensitive test through the recommended asynchronous queue.
- 03
Persist the request ID and handle status, completion, cancellation, retries, and errors explicitly.
- 04
Validate the output and copy media that must persist into storage with the required access controls.
- State the outcome before the background.
- Provide the real source material.
- Review the result before expanding the task.
Quality control
Check the quality of fal output
Turn a promising generation into an asset you can legally and safely ship.
- 01
Restate the brief, the deliverable format, and where the asset will appear before judging any output.
- 02
Inspect at full resolution: generated media hides its errors at thumbnail size.
- 03
Check the details these systems reliably get wrong — hands, text, logos, reflections, symmetry, and edge artefacts.
- 04
Confirm the licence and commercial-use terms for your plan, and check the output does not reproduce a recognisable style, mark, or likeness you have no right to use.
- 05
Review for accessibility and delivery: alt text, contrast, colour profile, file size, and the exact export format.
- Inspect at full resolution before approving anything.
- Confirm commercial-use rights before an asset reaches a client.
- Keep the prompt and settings with the asset so it can be reproduced.
Privacy & permissions
Use fal safely
Use the platform without surrendering rights, likenesses, or client material you do not control.
- 01
Confirm you hold the rights to every reference image, voice, or clip before uploading it.
- 02
Check whether your plan trains on submitted content, and opt out before uploading client work.
- 03
Never upload a real person's likeness or voice without their explicit, documented consent.
- 04
Review the output for marks, styles, or likenesses you have no licence to reproduce.
- 05
Label synthetic media where your client, platform, or jurisdiction requires disclosure.
- Generated media URLs may be publicly accessible and temporary. Keep keys off clients, review model terms, validate safety metadata, authenticate webhook workflows, control concurrency and retries, and monitor GPU or per-generation cost.
- Follow your organisation's approved-use policy.
- Never treat fluent output as authorization to act.
Core workflows
Step-by-step ways to use fal for the work it does best.
Each workflow is a separate guide with its own steps and review checkpoints.
Submit media work asynchronously and manage status, cancellation, output storage, and user feedback.
↗ 02 WorkflowDeploy and verify a serverless model on falPackage a model endpoint, validate it on temporary infrastructure, and promote the same app with production safeguards.
↗Official references
Check the current product documentation.
Features, plan limits, availability, and data controls change. These official pages are the starting points used for this guide.