I struggle to estimate costs for AI video creation and want a clear credit-based pricing model.

Introduce a transparent credit-based pricing model for AI video creation so users can estimate costs before generating videos. Credits map clearly to common actions (e.g., generating scenes, rendering, upscaling), making budgeting and planning predictable.

This feature provides a credit-based pricing system that translates AI video creation activities into an easy-to-understand cost structure. Users can see how many credits different actions require, helping them predict the total cost of a project before starting. The model standardizes pricing across key steps such as generating clips or scenes, applying edits, enhancing resolution, and rendering outputs. It supports clearer budgeting by showing credit consumption at the moment of selection or configuration, reducing surprise charges. Users can compare options (e.g., longer duration vs. higher resolution) by viewing how each choice affects credits. The system helps teams and individuals plan workloads by estimating credits needed for multiple iterations and revisions. It also simplifies communication around costs by using one consistent unit (credits) across features. Overall, the credit model increases pricing transparency, improves trust, and makes AI video production easier to manage financially.