fal-generate

Generate images and videos via fal.ai queue-based endpoints.

224|32|Updated Jan 22, 2026
One-click install
npx skills add https://github.com/fal-ai-community/skills --skill fal-generate-fal-ai-community
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fal-generate
Source: https://github.com/fal-ai-community/skills/tree/main/skills/claude.ai/fal-generate
Command: npx skills add https://github.com/fal-ai-community/skills --skill fal-generate-fal-ai-community

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

fal-generate provides a reliable queue-based mechanism to generate images and videos using fal.ai models, enabling stable, interruptible media creation workflows.

Core Features & Use Cases

  • Queue-based generation: Submits to a queue and polls for completion, ideal for long-running tasks like video rendering or batch image generation.
  • Model discovery & selection: Access fal.ai's model catalog to choose the best-fit generator for a given prompt.
  • Flexible workflows & results: Supports text-to-image, image-to-video, and mixed media pipelines with status checks and result retrieval.

Quick Start

Use the fal-generate script to create media from a prompt. Example: bash /mnt/skills/user/fal-generate/scripts/generate.sh --prompt "A futuristic city" --model "fal-ai/flux/dev"

Frequently Asked Questions about fal-generate

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate videos using fal.ai models without timing out on long rendering tasks?

Queue-based generation handles long-running tasks by submitting prompts to a queue endpoint and polling for completion. You submit a prompt with a selected model, monitor the status, and fetch the generated media once ready.

How do I automate batch image generation with fal.ai in a production workflow?

Automate batch image generation by running the provided scripts to submit multiple text-to-image prompts to the fal.ai queue. The system handles job monitoring and result retrieval sequentially within your production workflow.

Do I need a fal.ai API key to use the queue-based generation system?

Yes, a fal.ai API key is required. You must provide it along with a selected model to authenticate queue submissions, monitor job status, and retrieve generated images or videos.

Can I discover and select different fal.ai models for text-to-image and image-to-video pipelines?

Yes, model discovery and selection is supported. You can access the fal.ai model catalog to choose the best-fit generator for text-to-image, image-to-video, and mixed media content pipelines.

What are the limitations of using a queue-based system for fal.ai media generation?

The queue-based approach requires polling for status updates rather than receiving instant synchronous responses. It is designed for stable, interruptible workflows, meaning you must actively monitor job status and fetch results upon completion.