Three AI video workflows to know
Text to video
Describe the subject, action, environment, lighting and camera behavior. Text-to-video is best when you need a scene from scratch and are comfortable iterating on composition.
Image to video
Start with a strong still image, then describe only the intended motion, camera path and temporal change. This often improves composition control and brand consistency.
Reference to video
Use reference assets when a person, product or visual system must remain recognizable across shots. Keep prompts direct and avoid conflicting style instructions.
A compact AI video prompt formula
Example: “A silver running shoe lands on wet concrete at night, macro product shot, slow push-in, neon reflections, precise splash physics, premium sports commercial.”
Models worth comparing
Pollo 2.5
Pollo AI's flagship option for film-like multi-shot video, synchronized audio and consistent subjects.
Read model guide →02 · New · Multi-shot VideoSeedance 2.0
A multi-shot AI video model focused on cohesive scenes, visual continuity and cinematic pacing.
Read model guide →03 · Cinematic VideoKling 3.0
A high-fidelity model designed for complex motion, physical detail and professional-looking shots.
Read model guide →