AI Video Prompting: How to Write Prompts That Move
Practical techniques for writing AI video prompts that produce real motion.
AI Video Prompting: How to Write Prompts That Move
Writing a prompt for AI video is fundamentally different from writing one for AI images. An image prompt describes a static scene. A video prompt must describe what changes over time — the motion, the camera, and the subject’s action. Get any of these wrong and you get a frozen frame with a subtle flicker instead of actual movement.
Describe Motion, Not Just Scenes
The most common mistake is writing an image prompt and expecting video output. “A woman in a red dress standing in a park” is a static description. The AI has no instruction to move anything. Instead, write: “A woman in a red dress walks through a sunlit park, her dress swaying with each step, leaves rustling in the breeze.” Now the model has motion to animate.
The key is adding verbs. Walk, turn, lift, pour, drift, zoom. Every verb is a motion instruction. If your prompt has no verbs, your video will have no movement. This is why image-to-video workflows work well even with minimal prompts — the input image provides the scene, and you only need to describe the motion.
Camera Movement Prompts
Camera movement is one of the most powerful tools in video prompting. These are the four most reliable camera instructions:
- Pan: “Camera pans slowly from left to right across the landscape”
- Zoom: “Camera zooms in on the subject’s face” or “Slow dolly zoom outward”
- Tilt: “Camera tilts up from the ground to reveal the skyline”
- Orbit: “Camera orbits 180 degrees around the subject”
Premium models like Kling v3 and Veo 3.1 handle camera prompts with impressive precision. For a comparison of how each model interprets camera instructions, see our Kling vs Veo vs Hailuo comparison. If you are new to video generation, start with the generating videos guide to understand model selection first.
Subject Action Prompts
Beyond camera movement, your subject needs to do something. Be specific about the action and its speed:
- “The chef tosses pizza dough into the air, it spins twice before landing on his hands”
- “The car accelerates from a standstill, kicking up dust behind it”
- “Waves crash against the rocks, spraying mist into the air”
Avoid abstract actions like “dancing” without detail. “A woman dances” gives the model too much freedom. “A woman in a blue dress spins clockwise, arms raised, hair flowing behind her” gives it a choreography to follow.
Keep It Simple and Sequential
Long prompts with multiple simultaneous actions confuse most models. Instead of “the man pours coffee while the cat jumps on the counter and the window blows open,” break it into a sequence: “The man pours coffee into a mug. Steam rises. A cat jumps onto the counter.” Sequential actions produce more coherent results than simultaneous ones.
For free video generation, CogVideoX-Flash handles simple, single-action prompts well. For complex multi-action sequences, premium models perform better. You can try these techniques directly on imgmov.com with 3 free daily credits.
Prompt Length: Less Is More
Most models respond best to 2-4 sentences. The first sentence sets the scene, the second describes the primary motion, and the third adds atmospheric detail. Anything beyond that risks diluting the core instruction. The AI generation guide covers prompt structure fundamentals that apply to both images and video.
Prompting for AI video is still an emerging discipline. The underlying diffusion model architecture means models interpret language differently than LLMs do. Experimentation matters — try the same prompt across multiple models on Replicate to see how each interprets your instructions. The field of generative AI is evolving rapidly, and today’s best practices may shift as models improve.