Everygen AI: text-to-video vs image-to-video, tips for beginners

The guide frames AI video generation as an accessible technique that works from nothing more than a written prompt or a single image, and it splits the field into two entry points. Text-to-video suits users who want to shape an idea from zero, while image-to-video suits those who already hold illustrations or photos and simply want to set them in motion.

Its practical advice centers on restraint: describe the subject, movement, background and lighting in one or two concrete sentences, begin with a short simple prompt, and refine in small steps rather than trying to perfect the request up front. For image-based work it adds that choosing an image with a clearly visible subject makes the process easier, and that the intended motion — walking, turning, a camera pushing in — should be stated explicitly.

The guide also notes that various models exist with different strengths, pointing to Kling 3 as one example, and closes by recommending users start with text-to-video and then move on to image-to-video if they have material available, with the full range of services accessible through Everygen AI.