Two years ago, AI video meant three seconds of melting faces. Today a single sentence can produce a coherent, cinematic clip — if you know how to ask for one. Here's how the technology works, what it's genuinely good at right now, and how to get your first clip out of Imageny's video generator.
How does text-to-video AI actually work?
Text-to-video models are diffusion models — the same family behind AI image generators — extended into time. Instead of denoising one image, the model denoises a whole sequence of frames at once while keeping them consistent with each other: same character, same lighting, same scene, changing plausibly frame to frame.
That "consistent across frames" constraint is the hard part, and it explains most of what you'll observe in practice:
- Short clips are the norm. A few seconds is where models stay coherent; long shots drift.
- Simple motion beats complex choreography. A camera push-in over a landscape works nearly every time; two characters swapping items mid-fight doesn't.
- The first frame matters most. Models that start from a strong composition hold together; muddy openings compound.
What makes a good video prompt?
Everything from our image prompt guide still applies — subject, style, lighting, framing — plus two video-specific ingredients:
- Motion — say what moves and how: "she turns toward the camera," "petals drift past," "rain streaks the window."
- Camera — name the shot: "slow push-in," "handheld tracking shot," "static wide shot," "orbit around the subject."
A reliable template: scene + style + one subject motion + one camera move.
a lone samurai standing in a bamboo forest, cinematic anime style, leaves falling around him, slow push-in, volumetric morning light
Resist the urge to choreograph. One motion plus one camera move per clip is the difference between "cinematic" and "haunted."
How do I make my first AI video? (Step by step)
- Start from an image. Generate a still in the playground first. Iterating on a still costs a fraction of iterating on video, and image-to-video keeps your composition.
- Pick your video model. Models trade off speed, length, and style range — each one's strengths are listed in the picker.
- Add motion and camera. Take the prompt that produced your still and append one motion phrase and one camera phrase.
- Generate and review the first second. Most failures announce themselves immediately. If the first second is solid, the clip usually is.
- Iterate one variable at a time. Change the camera move or the motion — not both — between attempts, so you know what caused the difference.
What is text-to-video AI good for today?
- Social content — loops and shorts in vertical format, where a striking few seconds is the whole job
- Concept and mood pieces — pitching a scene, a game trailer beat, or a music-video moment before committing budget
- Bringing artwork to life — animating a generated character or landscape with subtle motion (our users' most common workflow: generate, then animate)
- B-roll and backgrounds — ambient clips like drifting clouds, rain on glass, or city lights
Where it still struggles: dialogue lip-sync, long continuous shots, and precise multi-character interaction. Some models also generate without audio — check the model notes before you plan a clip around sound.
How much does it cost to generate AI video?
On Imageny, video generation uses the same credit system as images — video clips cost more credits than stills, which is exactly why the "iterate on the image first" workflow above saves real money. New accounts start with free credits, so your first clips are on us.
Make your first clip
Generate a still you love in the playground, add one motion and one camera move, and render it as video. That single workflow — still first, then animate — is the highest-leverage habit in AI video.
Cover photo by Noom Peerapong on Unsplash.