AI Video Workflow

An AI video workflow connects the steps used to create a video, such as writing prompts, generating scenes, animating images and producing audio. Outputs pass between connected tools, so you can reuse the process across projects.

A workflow connects generation and processing steps. Traditional editing focuses on selecting, arranging and polishing footage. They work well together: create assets in a workflow, then use an editor for the detailed cut and final creative decisions.

Choose from the models available in the node picker and connect their compatible inputs and outputs. Support depends on the model catalog; access to a custom or self-hosted model should be confirmed before you plan a workflow around it.

Product concepts, social clips, explainers and visual series are useful starting points because their creative steps often repeat. Start with a focused format, then reuse the structure while changing the subject, reference assets or creative direction.

The time depends on the number of stages and how much creative testing you need. Start with a small chain or an editable template. Add branches, audio and other processing once the basic sequence produces a useful result.

You can build a no code video workflow by adding nodes and connecting them on a visual canvas. You still choose the inputs, models and settings. Coding is optional when you want to integrate workflows into another application.

Results appear on nodes when their stages complete, so you can inspect the assets along the way. Review the starting image, generated clip and audio before assembling or sharing the final video. Preview options vary by node.

Building workflows is free. Generating video requires a paid plan and spends credits according to the models and settings used. Clip length and additional generations affect the total, so check the displayed estimate before running a larger batch.