fal-workflow

To generate a fal.ai workflow JSON file for an AI pipeline, you run the create-workflow shell script, providing the workflow name, title, nodes array, and outputs object to automate the creation process.

Yes, you can chain multiple AI models together for image-to-video conversion. The skill automates multi-step generation, allowing you to pass a text prompt to an image model and route its output directly into a video model.

The best way to automate multi-step AI generation pipelines is by defining your node configurations and outputs in the workflow generation script, which structures the fal.ai workflow JSON for production-ready deployment.

Yes, you need the fal.ai SDK to execute generated AI workflows. The script creates the workflow JSON files, but running these pipelines requires the fal.ai SDK along with various image and video model apps.

You can customize workflow parameters for specific AI tasks by modifying the nodes and outputs JSON structures passed to the workflow generation script, allowing flexible configuration tailored to your generation needs.

Using a script to build fal.ai workflows eliminates the complexity of manual JSON creation, preventing syntax errors and simplifying the chaining of models for multi-step generation and image-to-video tasks.