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fal-ai-media

Generate images, videos, and audio via fal.ai MCP server models.

1|Updated Apr 7, 2026
Search Tags:#mcp#text-to-speech#text-to-image#fal-ai#text-to-video#media-generation#video-to-audio
One-click install
npx skills add https://github.com/riftzen-bit/gemini-setup --skill fal-ai-media-riftzen-bit
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fal-ai-media
Source: https://github.com/riftzen-bit/gemini-setup/tree/main/skills/fal-ai-media
Command: npx skills add https://github.com/riftzen-bit/gemini-setup --skill fal-ai-media-riftzen-bit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill centralizes multimodal media generation so users can produce images, videos, and audio from text or existing media without managing individual model APIs or orchestration details.

Core Features & Use Cases

  • Multimodal Generation: Text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo), text-to-speech (CSM-1B), and video-to-audio (ThinkSound).
  • Model Discovery & Job Management: Search and find models, run generate jobs, check async results, cancel jobs, and estimate costs via the fal.ai MCP.
  • Use Case: Quickly iterate on visual drafts with Nano Banana 2, produce production-grade images with Nano Banana Pro, generate short cinematic clips with Seedance or Veo, and create narration or sound design with CSM-1B and ThinkSound.

Quick Start

Generate a photorealistic product image using the Nano Banana Pro model from the prompt "professional product photo of wireless headphones on marble surface".

Frequently Asked Questions about fal-ai-media

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

FAQPage Schema
How do I generate images from text prompts using fal.ai?▼

To generate images from text prompts, provide a prompt to the Nano Banana or Nano Banana Pro models. The Skill handles the fal.ai MCP server orchestration to produce photorealistic drafts or production-grade visuals.

Can I convert text to video and extract video to audio in one workflow?▼

Yes, you can generate cinematic clips from text using Seedance, Kling, or Veo, then extract video to audio using ThinkSound. The Skill centralizes multimodal generation to manage these media production tasks together.

Do I need a fal.ai MCP server to run text-to-speech narration tasks?▼

Yes, a configured fal.ai MCP server is required to run text-to-speech narration tasks. The Skill uses this server to access the CSM-1B model for generating audio outputs from text prompts.

What is the best way to manage async media generation jobs and check costs?▼

The best way to manage async media generation jobs is through the Skill's model discovery and job management features. You can run generate jobs, check async results, cancel jobs, and estimate costs via the fal.ai MCP.

Does this text-to-image and text-to-video approach support file uploads?▼

Yes, the multimodal generation approach supports file uploads for image-to-video transformations. You can upload existing media files to use as inputs for models like Seedance, Kling, and Veo.

What are the limitations when using fal.ai for media generation?▼

Limitations include dependency on specific models like Nano Banana, Seedance, and Veo, requiring a configured fal.ai MCP server. Cost estimation is supported, but users must monitor expenses for async video and audio jobs.

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