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Google · Gemini Omni
Gemini Omni: Multimodal AI video powered by Gemini world knowledge
Gemini Omni brings Gemini’s language understanding, world knowledge, and physics reasoning into video creation. On Yevideo you can run text-to-video, image-to-video, video-to-video, and AI video editing with one model—ideal for ads, product demos, social clips, and shots that need multiple references.
World knowledge + physics: scenes that make sense
Many AI videos fail on logic—gravity breaks, interactions clip, elements don’t match the brief. Gemini Omni leans on Gemini’s world knowledge and physics reasoning so complex environments and multi-subject motion stay more believable. Spell out cause, materials, and motion direction rather than stacking adjectives.
Multimodal refs: up to 7 images + 1 video under one quota
Each image costs 1 quota unit; each reference video costs 2; image count + video count×2 must stay ≤ 7. Start from text only, lock look with 1–7 images, or add one reference clip (≤30s) for camera and rhythm in video-to-video or AI edit—all four workbenches share the same model ID.
Up to 4K: from quick tests to presentable samples
Choose 720p, 1080p, or 4K; when no reference video is attached, pick 4, 6, 8, or 10 seconds and 16:9 or 9:16. A common workflow: 720p short clips to validate mood and motion, then bump resolution for delivery. Estimated credits show before you generate.
Text-to-video: turn who / where / how into executable shots
No reference image required—describe the scene and generate motion. Best for story beats, concept validation, and marketing ideas still in words. Split subject, scene, action order, light, and camera into short lines; avoid conflicting descriptions.
- Use short lines: subject / scene / action / light / camera move
- For complex beats, use first… then… finally… for time order
- Be specific about real-world cues (weather, materials, scale)
- Try 720p and 8s first, then raise resolution or length
Image-to-video: 1–7 reference images to animate your key visual
At least one image, up to seven. Gemini Omni preserves look and silhouette while adding motion—great for product spins, character animation, and turning KV art into dynamic samples. Text should describe motion and camera, not repeat what’s already in the frame.
- Use clear subjects; with multiple images, say what each contributes
- Describe direction, amplitude, and pacing of motion
- To preserve identity, state what must not change on face or product
- Quota: images + videos×2 ≤ 7—plan references accordingly
Video-to-video: reference clip + images for new shots, not just filters
Optional reference video (2 quota units) plus 1–7 images. Keep camera rhythm or action bones while changing style, environment, or mood. With a reference clip attached, output duration is model-determined and the duration control is hidden in the workbench.
- Decide what the reference clip provides: camera, action, or pacing
- Then say what to keep vs change in text
- Reference clip ≤30s, ≤100MB per file; total quota ≤7 with images
- For big style shifts, stage: stabilize subject first, then environment
AI video edit: relight, swap backgrounds, fix details in natural language
Focused on modifying existing footage rather than inventing a new story from scratch. Upload a reference clip with optional images and describe edits—lighting, background, local replacements. Video-to-video targets new shots from references; the editor targets polishing what you already have.
- One class of change per pass (light / background / subject) works best
- Describe edits in time order: brighten opening, night window mid-clip, etc.
- Scope local edits: background only, or hands only—not the whole face
- With reference video, duration is automatic—no manual seconds picker
Select Gemini Omni in the Yevideo workbench to try text, image, video-to-video, and AI edit in one flow.
Who is Gemini Omni for—and what value does it bring?
Brand creatives, product marketers, creators, and indie teams who need believable complex scenes, flexible references, and one path from test to 4K sample.
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Fantasy that still reads as real
Concept ads often break physics on purpose—but viewers still need to buy in. Gemini Omni’s reasoning helps surreal ideas stay readable in motion with fewer obvious AI breaks.
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FAQ
What is Gemini Omni and how does it relate to Google Gemini?
Gemini Omni is Google’s multimodal AI video model built on Gemini capabilities—world knowledge, physics reasoning, and flexible reference input. Yevideo connects via API so you can use it in the browser without self-hosting.
What is Gemini Omni best at?
Three strengths stand out: Gemini world knowledge for plausible scenes, flexible multimodal references (up to 7 images + 1 video), and one model ID across four workbenches. Great for ad tests, product motion, social clips, and multi-asset alignment.
How does the reference quota work?
Total quota is 7: each image = 1, each reference video = 2. One video clip leaves room for 5 images; with no video you can use up to 7 images. Image-to-video requires at least one image.
How should I write prompts for stabler results?
Use subject + scene + action + camera + mood, on separate lines; avoid conflicting light or camera notes. With images, describe motion and lens—not what’s already visible. With video refs, say whether the clip drives camera or action and what you want changed.
Gemini Omni vs Seedance 2.0 or Veo 3.1?
Pick by task—not a single winner. Gemini Omni shines on world knowledge and quota-flexible multimodal input; if native audio workflows or another vendor pipeline fits better, run the same storyboard on both and compare look and credit cost.
How are credits calculated on Yevideo?
Pricing depends on model, resolution, duration, and whether a reference video is attached. Estimates show before generate. Try 720p and shorter clips first; failed jobs should not deduct credits per current site rules.