Gemiomni
Turns text prompts and image references into cinematic video clips with specific camera movements and scene controls
Last verified:
What is Gemiomni?
Gemini Omni (GemiOmni) is a focused AI video workspace designed to turn text prompts and image references into cinematic Google Video Model-style clips. It serves as a multimodal video creation tool that combines text, image references, scene intent, camera movement, and sound notes to produce planned, non-random videos rather than unpredictable AI outputs.
Key features include text-to-video generation, image-to-video with reference guidance for products/characters/styles, cinematic camera control (push-ins, tracking shots, reveals, handheld energy), natural-language refinements for adjusting action/camera/environment, world-aware scenes for physics/science/explainer visuals, and creator-ready formats supporting 16:9 widescreen and 9:16 vertical clips. The workspace supports up to 2 image references and generates videos up to 30 seconds using 55 credits per generation.
GemiOmni is built for marketing teams needing fast ad concept testing, creators wanting cleaner shot briefs, product teams visualizing launch pages and UI motion, and studios aligning on tone/pacing/storyboard before editing. Use cases include product reveal videos, vertical social ads, brand campaign clips, reference-guided character scenes, science/explainer videos, and storyboard concept animatics.
Gemiomni pricing
Pricing model: Freemium
Free online exploration available for trying the prompt flow and image reference workflow before buying credits. Paid monthly plans: Starter at $25.9/month (800 credits, 720p/1080p, commercial-use rights, Veo 3 and Nano Banana access); Creator at $49.9/month (1,800 credits, priority queue, batch download, email support, newly supported AI models); Studio at $89.9/month (3,600 credits, highest priority, priority support, newly supported AI models). Credits used for text-to-video and image-to-video generations. Pay-as-you-go credit top-ups available for campaign spikes.
Gemiomni pros
- Turns text prompts into Google Video Model-style cinematic clips
- Supports image references for product/character/style consistency
- Cinematic camera control with push-ins, tracking shots, reveals
- Natural-language refinements for easy adjustments
- World-aware motion grounded in physics and real-world knowledge
- Up to 2 image references per generation for better control
- Videos up to 30 seconds with 55 credits per generation
- Supports 16:9 widescreen and 9:16 vertical formats
- 720p/1080p resolution options where available
- Commercial-use rights included on paid plans
- Priority generation queue on Creator and Studio plans
- Batch download results available on higher tiers
- Automatic credit refund for failed/timed-out generations
- Workspace history preserves prompt, model, settings, and output URL
- Focused video-only workspace without unrelated image tools
- Email support on Creator plan, priority support on Studio plan
- Access to Veo 3 and Nano Banana workflows on paid plans
- Newly supported AI model options on Creator and Studio tiers
Gemiomni cons
- Video-only workspace without image generation dashboard
- Maximum 30-second video duration per generation
- Up to only 2 image references allowed per generation
- No separate video or audio reference uploads currently
- Sound/audio generation depends on model path support
- Credits required for all generations beyond free exploration
- No free tier with included credits mentioned
- Pricing starts at $25.9/month for 800 credits
- Higher-resolution output limited to 1080p maximum
- Pay-as-you-go credits needed for campaign spikes
Frequently asked questions about Gemiomni
What is the Gemini Omni Video Generator?
It is a focused AI video workspace for turning text prompts or image references into Google Video Model style clips. The tool combines text, image references, scene intent, camera movement, and sound notes to make videos that feel planned rather than random.
What can I create with Gemini Omni?
You can create short AI videos for product reveals, social ads, explainers, character moments, storyboards, and campaign concepts from text prompts and visual references. Use cases include product reveal videos, vertical social ads, brand campaign clips, reference-guided character scenes, science and explainer videos, and storyboard concept animatics.
Can I start from an image reference?
Yes. Start with text, add source images, or use references when a product, character, style, or visual direction needs stronger control. You can use up to 2 image references per generation for product shots, character frames, style boards, or composition references.
What should I include in my prompt?
Include the subject, action, location, camera movement, lighting, style, mood, duration, aspect ratio, and any sound direction you want the video to follow. Prompts work best when they read like a compact shot brief naming the subject, what changes during the clip, how the camera moves, what references matter, and what the viewer should hear or read.
How are credits calculated?
The workspace shows the credit cost before generation. Cost can vary by model, duration, resolution, and sound settings, so check the generate button before submitting. Each generation uses up to 55 credits for videos up to 30 seconds.
Can I download or share the result?
Yes. Finished generations stay in your history so you can preview, download, share, or retry the version that works best. Batch download results are available on Creator and Studio plans.
What happens if generation fails?
Failed or timed-out generations are handled by the workspace status flow. When the task is not delivered, credits are refunded automatically.
Is it only for quick drafts?
No. The Gemini Omni Video Generator is useful for early concepts, ad variants, product explainers, UI motion, education scenes, and campaign review. Teams can test ad concepts in minutes then take the strongest direction into production.
Does it include image generation?
No. This app keeps the Gemini Omni Video Generator focused on video and does not add the image-v2 AI image dashboard. It is a video-only workspace.
What makes a good prompt?
A strong prompt names the subject, action, camera move, lighting, on-screen text, mood, and final frame. Use simple verbs for action (enters, turns, opens, ripples), specify exact words for text with placement and duration, and use specific camera language like locked-off camera, handheld travel energy, or slow push-in.