Upload a video or write a prompt. Gemini Omni relights scenes, swaps backgrounds or products, changes characters, and applies style transfer.

Upload an existing clip or generate a new one from a text prompt to start editing.
Tell the AI what to change: lighting, background, product, character, or visual style.
Preview the result, adjust details manually if needed, then export your finished video.

Generate video clips directly from text prompts with basic motion and scene composition. Best results occur with simple camera movement and clear subject definitions.

Gemini Omni adjusts lighting and mood while preserving subject motion. It works well for converting daytime clips into night, sunset, or studio-like environments with consistent scene structure.

Replace backgrounds such as indoor rooms, outdoor streets, rain scenes, or fire environments while keeping the subject stable and aligned with the new context.

Swap objects in a scene such as products held by users. The system maintains hand interaction, scale, and contact realism in most standard shots.

Replace people in a video using reference images while preserving motion, pose, and scene layout. Performance is strongest in frontal or mid-angle shots.

Apply styles such as cinematic, cartoon, pixel, or stylized rendering while maintaining temporal consistency across frames.

Convert product clips into different environments such as studio, outdoor, or branded showroom scenes while keeping the product consistent. Useful for Shopify and Amazon creatives.

Maintains main subject identity and motion across most editing scenarios such as background swap or relighting.

Most outputs are generated in around 2 minutes, enabling rapid iteration for ad and content testing cycles.

Supports relighting, swapping, style transfer, and text to video in a single workflow instead of separate tools.

Handles scene changes like rain, fire, night, or studio environments with generally consistent visual integration.

Works well for product-focused videos where object clarity and scene consistency matter more than precise camera control.

Users can refine outputs through prompt updates rather than restarting the entire generation process.




Yes. It supports text to video generation, though results are more stable with simple prompts and limited camera movement.
Background swaps are generally stable, but lighting integration and fine details such as reflections may vary depending on scene complexity.
Yes. It can replace objects in a subject’s hand while maintaining scale and interaction consistency in most standard shots.
Yes. Style transfer can convert footage into different visual styles while preserving motion and scene layout.
It has weaker control over precise camera movements like drone angles or POV shots, and complex scenes may show minor inconsistencies.
Typical generation time is around 2 minutes depending on prompt complexity and video length.
Yes. It is commonly used for product-focused videos where background, lighting, or context needs to be changed without reshooting.
Turn existing footage into new video variations using relighting, background swaps, and style control. Generate multiple versions for ads, social media, and product pages without reshooting.
What Users Say About Gemini Omni AI Video Generator
Feedback highlights strength in scene transformation and limitations in precise camera control scenarios.
Strong for fast video variations
I used it to turn one product video into multiple ad versions with different backgrounds. It kept the product stable and saved editing time.
Useful for creative testing
Good for testing different styles like night scenes or cinematic looks. Some lighting inconsistencies appear but overall usable for social content.
Fast iteration workflow
Generation is quick enough for campaign testing. I can try several prompts in a short time and pick the best output.
Works best with simple scenes
Clean results when the subject is clear and centered. Complex camera movement or crowded scenes are less consistent.
Helpful for product marketing
We used it to adapt product clips into seasonal ads. Background swaps worked well for ecommerce listings.