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Gemini Omni Tutorial: How to Create Your First AI Video Step by Step

By Sagnik Bhattacharya 20 May 2026 8 min read

Coding Liquids blog cover featuring Sagnik Bhattacharya for a beginner Gemini Omni AI video tutorial, with prompt cards, timeline controls, and video review cues.

Gemini Omni is Google's video-first creative model for generating and editing moving scenes from prompts and references. The safest way to think about it is not as a magic video editor, but as a prompt-driven scene system: you describe the shot, give it useful references, review the result, and then ask for specific edits.

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This beginner guide gives you a complete first-run workflow. Use it with the Google Flow setup guide if you want the production interface, then use the prompt guide when you are ready to improve camera motion, style, and consistency.

Note: Fact check current as of 20 May 2026: Google describes Gemini Omni as a model for creating and editing video, with access through Gemini, Google Flow, and YouTube surfaces. Google AI subscription requirements, Flow credits, geography, and model availability can change, so check the live Flow settings before a paid batch.
Note: This article does not publish benchmark scores because no new Gemini Omni outputs were generated and reviewed in this repo. It includes a repeatable test framework instead.

Quick answer

Start with one short scene, one clear subject, one camera move, one action, one style, and one aspect ratio. Generate the smallest useful version first, review prompt adherence and motion stability, then make one edit at a time instead of rewriting the whole prompt.

You want your first Gemini Omni clip without getting lost in model settings.
You need a practical review checklist before spending more Flow credits.
You want to connect the first clip to prompts, editing, image-to-video, and YouTube Shorts workflows.

What Gemini Omni Is, And What It Is Not

Google's own model page positions Gemini Omni around creating from any input, starting with video, and editing through natural conversation. That matters because the strongest use case is not a static text prompt thrown over the wall. The strongest use case is an iterative creative loop: describe a shot, attach references when helpful, inspect the result, then ask for a narrow change.

It is not a spreadsheet formula assistant, a VS Code extension, or a guaranteed final-cut editor. For spreadsheets, use the Gemini Omni for Excel workflow only when you are turning charts, dashboards, or insights into videos. For code organisation, use the VS Code workflow to manage prompts and assets, not to pretend that Omni runs natively inside the editor.

Use case	Good beginner approach	Risk to avoid
Text to video	One subject, one action, one camera move.	Asking for five scenes in one clip before the base shot works.
Image to video	Use one clean reference image and describe the intended motion.	Expecting exact identity preservation without reviewing each output.
Video editing	Ask for one specific edit, such as camera angle, object swap, or style.	Changing style, action, framing, lighting, and text in the same follow-up.
Short-form publishing	Generate vertical clips, assemble in an editor, and disclose AI use where needed.	Uploading unreviewed synthetic media that may mislead viewers.

Step 1: Prepare A Simple Brief

Before opening Gemini or Flow, write a small creative brief. This is the part beginners skip, and it is why their first outputs often feel random. The model needs an ordered creative target, not a mood board made of unrelated adjectives.

Use this five-line brief for your first clip. Keep it boring on purpose. The first goal is a controlled test, not a masterpiece.

Subject: one person, one product, one scene, or one object.
Action: the subject does one visible thing that can be judged.
Camera: static, push in, over-the-shoulder, wide shot, close-up, or gentle handheld.
Style: realistic, cinematic, product demo, documentary, flat editorial, watercolour, or another clear look.
Output: landscape or portrait, short duration, and whether the clip needs text or audio.

Step 2: Use A First Prompt That Can Be Judged

The official prompt guidance emphasises framing, motion, style, lighting, location, and action. Put those elements into one compact prompt. Do not ask Gemini Omni to infer your entire storyboard from a vague phrase such as "make this cinematic".

A first prompt should be specific enough to score. If the output fails, you should know which part failed: subject, camera, action, style, text, audio, or consistency.

Create a 10-second vertical video of a matte black reusable water bottle on a wooden desk. One continuous shot. The camera starts as a medium shot, then slowly pushes in. Morning window light from the left, realistic product demo style. The bottle rotates gently once. No on-screen text. Keep the background simple and uncluttered.

Step 3: Review The First Output Before Editing

Do not immediately regenerate because the first clip feels imperfect. Watch it twice. On the first pass, look only for whether the model obeyed the prompt. On the second pass, look for production quality: motion, lighting, text, object consistency, and whether the shot would survive editing.

This split review is important because a visually beautiful clip can still be useless if it missed the business point. The opposite also happens: a plain clip that obeys the prompt can become excellent after one or two edits.

Review item	Pass condition	Beginner edit if it fails
Prompt adherence	Subject, action, camera, and style are recognisable.	Restate the missing part only.
Motion stability	No impossible warping or sudden object jumps.	Ask for slower motion and one continuous shot.
Text rendering	Text is readable if requested.	Use an external editor for final captions.
Audio usefulness	Audio supports the scene without distracting.	Ask for ambient audio only or remove audio.
Editability	The clip has clean beginning and ending frames.	Ask for a final static frame or simpler background.

Step 4: Make One Edit At A Time

Gemini Omni's strongest beginner pattern is conversational editing. Instead of rewriting the prompt from scratch, preserve what worked and ask for a narrow update. That lets you test whether the model can maintain scene consistency while changing one dimension.

A good edit prompt starts with what to keep, then names the change. That order reduces accidental drift.

Keep the product, desk, lighting, and camera path the same. Make the bottle label visible for the final three seconds.
Keep the scene and motion the same. Change the camera to a locked-off close-up instead of a push-in.
Keep the composition the same. Apply a clean studio product-ad style with softer highlights.

Benchmark-Style First Test

If you want a legitimate benchmark, run the same first prompt three times and keep the settings constant. Do not publish a score from memory or from one cherry-picked output. Save the prompt, aspect ratio, duration, active model, credit cost, and whether references were used.

For each output, score from 1 to 5 on prompt adherence, motion stability, text rendering, audio usefulness, object consistency, editability, and cost per usable clip. A usable clip is one you would actually edit into a project, not merely a clip that looks impressive in isolation.

Where To Go Next

Once the first clip works, the next skill depends on your use case. If the clip failed because the prompt was vague, go to Gemini Omni prompts. If you want to use reference images, go to image to video. If you need multi-turn changes, go to video editing. If you are publishing short-form content, read the YouTube Shorts workflow before uploading.

Hands-on tutorial: build your first reviewable clip

Use this mini project if you want a concrete first result instead of just testing random prompts. The goal is not a perfect film. The goal is a clip you can judge, edit once, and learn from.

Pick one simple subject. Use a single object or scene: a notebook opening, a product rotating, a dashboard coming to life, or a coffee cup on a desk. Avoid crowds, complex hands, tiny text, and multiple simultaneous actions for the first run.
Choose one output format. For a general test, use landscape. For Shorts, use vertical. Write the format in your prompt so you can judge framing rather than guessing what the model tried to do.
Write a one-sentence brief. Example: "A clean desk scene where a closed notebook opens and the pages transform into a colourful project timeline."
Add one camera move. Use one continuous shot, such as "camera slowly pushes in" or "locked-off camera". Do not combine push-in, orbit, tilt, and zoom in the first test.
Add one style and lighting direction. Example: "bright creator-studio lighting, clean product-demo style, soft blue and green accents."
Add constraints. Tell Omni what not to do when the failure would matter: "No generated text, no extra objects, no people, final frame stays clean for captions."
Generate one clip and watch it twice. First watch for the overall story. Second watch for motion, subject drift, framing, text, and whether the first second is interesting.
Make one edit only. If the camera is wrong, edit only the camera. If the subject drifts, edit only the subject preservation. A one-change loop teaches you what caused the improvement.

A good first prompt looks like this:

Create an 8-second landscape video of a closed notebook on a clean desk. The notebook opens by itself and the pages become a colourful project timeline. One continuous shot, camera slowly pushes in, bright creator-studio lighting, clean product-demo style. No generated text, no people, no extra objects. End on a stable final frame with space for captions.

First-output review checklist

Before you regenerate, score the first clip. This prevents the common beginner mistake of changing the prompt without knowing what was actually broken.

Check	Pass condition	Fix if it fails
Subject	The notebook stays recognisable.	Add preservation language and remove extra props.
Motion	The opening action is smooth and readable.	Use one action and one camera move.
Framing	The subject remains in frame for the full clip.	Specify locked-off, centred, or slow push-in.
Text	No unwanted or unreadable generated text appears.	Add "no generated text" and reserve captions for editing.
Editability	The first and final frames can be cut into a sequence.	Ask for a stable opening or ending frame.

Common mistakes

Writing a prompt that describes a whole advert, a character arc, and multiple camera moves in one request.
Judging the model from one output without saving the settings and prompt.
Using on-screen text as the core message when an external editor would handle captions more reliably.
Assuming a credit cost or feature is fixed without checking the current Flow settings.
Treating an AI video as publication-ready without checking provenance, rights, and audience expectations.

Sources

These official references are useful if you need the product or framework documentation alongside this guide.

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