AI Image Generator
PRODUCT OVERVIEW
fal is a generative media platform for developers and teams building with image, video, audio, music, speech, 3D, and world models. It provides a unified API to call 1,500+ production-ready models, a serverless option for deploying custom or fine-tuned models with autoscaling, and dedicated GPU compute for training and sustained workloads. Users can start with a model API call, compare models in the Sandbox, and monitor deployments through dashboards and observability tools. Access is usage-based, with per-output model pricing, hourly GPU rates, and enterprise options including private deployments and SOC 2 compliance.
Create a fal account, open the dashboard, and generate an API key to authenticate model requests.
Pick a model from the marketplace and call it with the Python, JavaScript, or cURL client using your API key.
Use the Sandbox to compare models side-by-side before committing to one for production.
Define a fal.App, test it with fal run, deploy with fal deploy, and scale runners automatically with your traffic.
For training or sustained workloads, create a dedicated H100 instance, connect via SSH, and install your stack.
Developers integrating generative media models into applications
Teams deploying custom or fine-tuned models at scale
Training and fine-tuning models on dedicated GPU clusters
Comparing model outputs before committing to production
fal provides a unified API to call 1,500+ production-ready image, video, audio, 3D, and world models. Models support synchronous, async queue, streaming, and real-time WebSocket calls.
Model APIs are billed by output unit, such as per second, per image, per megapixel, per 1,000 characters, or per generation depending on the model. Prices are listed on the pricing page.
Serverless runs code in managed runners that autoscale with traffic and bills per second of execution. Compute provides dedicated GPU instances with full SSH access billed at fixed hourly rates, suited for training and sustained workloads.
Compute offers 1xH100-SXM and 8xH100-SXM instances. The 8xH100 instances can be placed in the same sector and connected over InfiniBand for distributed workloads.
Yes. fal Serverless lets you define a fal.App, test it with fal run, and deploy with fal deploy. Deployments support autoscaling, retries, rollbacks, and multiple environments.
fal states it is SOC 2 compliant and offers enterprise options such as single sign-on, private deployments, usage analytics, and 24/7 priority support.
Create an account, get an API key from the dashboard, and make a model API call using the Python, JavaScript, or cURL client. You can also compare models in the Sandbox first.
Model APIs are billed by output unit (per second, image, megapixel, 1,000 characters, or generation depending on model). Serverless is billed per second of execution; Compute is billed per hour at fixed rates. Prices shown are documented list or starting rates in USD.
Usage-based access to 1,500+ generative media models through one unified API. Output pricing varies by model and unit.
Deploy custom or fine-tuned models on autoscaling serverless GPUs billed per second of execution. GPU rates start as low as $1.99/hr.
Dedicated GPU instances with full SSH access for training, fine-tuning, and sustained workloads, billed at fixed hourly rates.
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Run and fine-tune open-source and proprietary AI models via API, with pay-per-use pricing and custom model deployment.
Unified API gateway for leading image, video, audio, and text generation models, with persistent artifact storage and callbacks.
