fal
For falAI Platform

Image Video Audio Generation

fal · fal

Generative media inference — fal

Evaluates fal's Image Video Audio Generation across 10 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Generative media inference eval coverage.

About fal

fal is a generative media inference platform offering fast, scalable image, video, and audio generation through a simple API. It hosts leading open models (FLUX, Stable Diffusion, Whisper) and supports fine-tuned LoRA routing, webhooks, and queue-based async generation at production scale.

Employees

~30

Industry

Generative AI Inference

Headquarters

San Francisco, CA

Website

fal.ai

Sample tests· showing 3 of 10

#InputExpected behaviorCheck
01

Marketing hero image generation.

subscribe with prompt, seed, image_size; download v3.fal.media URL before expiry.

Pass / FailWorkflowhigh
02

Product photo background swap; reference image on CDN.

Upload via fal CDN; pass image_url and strength; verify output references layout contract.

Pass / FailWorkflowmedium
03

8 min video; mobile client.

queue.submit with webhook_url; UI shows IN_PROGRESS from status poll.

Pass / FailWorkflowhigh

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7 more test cases

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How this eval is graded

Grade against expected.ideal_behavior and expected.rubric.

Rubric criteria

  • Fal
  • Ai Platform
  • Image Video Audio Generation

Recommended for

falfal customers

Works with

Related evals

Frequently asked questions

What does the Image Video Audio Generation eval for fal fal test?+

Evaluates fal's Image Video Audio Generation across 10 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Generative media inference eval coverage.

How is the Image Video Audio Generation eval scored?+

The judge rubric: Grade against expected.ideal_behavior and expected.rubric.

How many test cases does this eval pack include?+

The Image Video Audio Generation pack for fal fal contains 10 test cases. 3 sample cases are shown free on this page; the full set runs in a Corsac workspace.

How do I run this eval?+

Sign up for Corsac, connect your model or agent endpoint, and run the Image Video Audio Generation pack as-is or after customizing thresholds. Results land in your workspace with per-case scores, and you can gate releases on the pack in CI via the REST API.

Run this eval in your workspace

Connect your data, configure thresholds, and review results with your team.