fal-ai-media

To generate images and videos from text prompts, you configure the fal.ai MCP server with your FAL_KEY and request specific media types like text-to-image or text-to-video. This removes manual creative production work by directly creating media from your descriptions.

Yes, you need a FAL_KEY to use fal.ai for media generation. You must configure this key in the fal.ai MCP server within your ~/.claude.json file before you can start generating images, videos, or audio from your prompts.

Yes, you can convert an existing image to video using the image-to-video workflows supported by fal.ai. The Skill handles image-to-video generation alongside text-to-video, allowing you to animate source media using models like Seedance, Kling, or Veo.

For text-to-speech and video-to-audio generation, available models include CSM-1B and ThinkSound. These models synthesize conversational speech or audio from text prompts and video sources, supporting common creative media workflows.

You can check the cost of generating media by using the estimate_cost tool provided by the fal.ai MCP integration. This allows you to estimate generation costs before running async jobs for images, videos, or audio.

Limitations include relying on fal.ai MCP tooling for async job lifecycle management, requiring specific tools to search models and run generate, result, status, and cancel commands. You must manage these async operations to successfully produce media.