How to Write Better Prompts for Gemini Omni's AI Video Generator

The quality of a Gemini Omni video depends heavily on the prompt behind it. The model can handle a short, vague line — but a specific one, with scene, camera, text, and audio direction, is what turns a generic clip into something you'd actually publish. Here's how to write prompts that get closer to what you have in mind, with real examples pulled from Gemini Omni's own generated demos.

Start With the Right Mode

The AI video generator offers three ways to start, and picking the right one matters as much as the prompt itself:

• Text/Image-to-Video — describe a scene in plain language, or upload a single image and animate it. Best when you're starting from an idea rather than existing assets.
• Reference-to-Video — upload multiple reference images to guide characters, products, or visual style, then describe how they should move and combine. Best when consistency across a specific look matters more than a from-scratch idea.
• Frames-to-Video — set the start and end points and let the model fill in the motion between them. Best when you already know exactly where a shot begins and ends.

What to Include in a Strong Prompt

A prompt that only names a subject ("a professor teaching math") leaves too much to chance. Compare that to a real prompt used in one of Gemini Omni's own demo clips:

"A middle-aged professor with glasses stands at a green chalkboard full of equations, explaining the trigonometric identity sin²(x) + cos²(x) = 1, turning to face the camera as he teaches."

Notice what it specifies: the subject and setting, the exact on-screen text (the equation), and a camera-relevant action (turning to face the camera). That combination is what lets Gemini Omni render the equation cleanly and keep the framing intentional, instead of guessing.

A strong prompt usually covers:

1. Scene and subject — who or what is in frame, and where.
2. Camera direction — push-in, orbit, tracking shot, low angle, static — whatever matches the shot you're picturing.
3. On-screen text, word-for-word, if the clip needs a title, caption, or equation to render exactly.
4. Audio and voice cues, if dialogue, ambient sound, or music matters to the result.

Here's another real example, built almost entirely from camera and lighting direction:

"Generate a 10-second cinematic clip. Stable composition, gentle push-pull, low-angle hero shot. Ultra-wide establishing shot, slight upward tilt, cliffside dirt road with a vintage travel car in the lower third, distant sea on the horizon, golden-hour side-backlight with volumetric rays through dust."

Using Reference Images Effectively

Reference-to-Video generation supports multiple images in a single prompt, and you can point at them directly. One demo clip combines five reference images in one instruction:

"@image1 @image2 @image3 @image4 @image5, one-take tracking shot following a presenter from a whiteboard to a UI demo to a closing slide. Keep the chalk-written equation 'E = mc^2' and the title 'Lesson 1: Energy' rendered cleanly across the entire shot."

The pattern worth copying: reference images anchor what stays consistent (the presenter, the whiteboard, the UI), while the text prompt describes the motion connecting them and any on-screen text that has to stay legible throughout.

References are also how you get consistent character or product swaps across a clip, like replacing a specific singer or actor while keeping every other action identical:

"Replace the female lead singer in video 1 with the male singer in image 1. Match the original actions exactly, no extra cuts, band keeps performing."

Editing and Remixing With Chat

Because Gemini Omni edits directly in chat, you don't need to re-describe an entire scene to change one thing in it. Two real examples show how narrow you can make an edit instruction:

"Replace the bowl of pasta in this clip with a bowl of Tom Yum soup. Keep the camera move, lighting, plating, and table setting identical. Steam rises naturally from the new soup."

"Remove the watermark from this clip. Don't change anything else — keep the original framing, camera motion, color grade, and subject performance exactly intact."

The common thread: name the one thing to change, then explicitly say what should stay identical. That second half matters more than people expect — without it, the model has more room to alter things you wanted to keep.

Common Mistakes to Avoid

• Too vague: "a cool video of a city" gives the model almost nothing to anchor on. Name the shot, the mood, and at least one concrete visual detail.
• No camera direction: if you don't specify motion, you'll get whatever the model defaults to. State it explicitly if it matters.
• Forgetting exact on-screen text: if a caption, title, or equation needs to render correctly, write it out verbatim in the prompt rather than describing it loosely.
• Not using references for consistency: if a character, product, or style needs to stay the same across a project, upload reference images instead of re-describing it in every prompt.

FAQ

What input does the generator accept? Generate from a text prompt or from one or more reference images. References help keep characters, products, and style consistent.

How many reference images can I upload? Image-to-video supports multiple reference images. Upload the shots you want the model to follow, then describe how they should move and combine.

What video lengths and resolutions are supported? Options depend on the selected model and plan. Available duration, resolution, and the updated credit cost appear before you generate.

How are credits charged? Each generation shows its credit cost before you start. You're only charged when you actually generate a video.

Can I download the generated video? Yes — preview the completed clip in your browser, then download the MP4 or run another prompt to iterate.

Ready to try one of these patterns yourself? Open the AI video generator, or browse more real prompts on the video demos page first.