media-generation

To generate custom AI images and videos, you use text-to-image and text-to-video requests with specific parameter constraints like aspect ratio and style. This automated media generation process directly creates visual assets for UI prototyping or social media content.

Automating stock photography retrieval and AI media generation requires an interface that processes text prompts to fetch professional-grade photos or create custom visual assets. This eliminates manual sourcing effort by directly integrating generation backends into your workflow.

Yes, text-to-video generation supports specific aspect ratios and styles for creating short, high-quality video clips. You can produce motion graphics, social media posts, or product demonstrations by applying parameter constraints to your video generation requests.

Yes, you need integration with an AI media generation backend to process text-to-image and text-to-video requests. This backend connection is required to automate the creation and retrieval of custom visual media assets within your workflow.

Generated AI images and fetched stock media are saved directly to your project's assets folder. This allows you to immediately store custom illustrations, placeholder images, and professional photography for use in your creative workflows.