AI · AI model
Gemini Omni
Conversational multimodal AI model for step-by-step video editing and generation
Gemini Omni is a multimodal model from Google DeepMind designed to edit and transform video through conversational prompts. It builds on sequential edits to preserve scene consistency while modifying lighting, swapping physical materials, or inserting complex elements. It is accessible via Gemini, Google Flow, and Google AI Studio.
What it's for
- Modify visual materials and textures in existing video footage using text prompts
- Insert photorealistic objects and animated elements into video scenes
- Adjust environmental lighting, reflections, and atmospheric effects step by step
- Restyle video aesthetics into alternate art styles such as voxel or line art
Features
- Step-by-step conversational video editing maintaining scene coherence
- Multimodal reference input accepting text, images, video, and audio
- Physics-aware rendering for realistic motion, lighting, and reflections
- Material and texture replacement across full video sequences
- Available through Google AI Studio API and Google Gemini interfaces
Pricing
Freemium. Available to test via Gemini and Google Flow, with API access in Google AI Studio
Details
- Type
- AI model
- Category
- AI
- Topic
- AI Video Generation
- Open source
- No
- Platforms
- Web, API
- For
- Video creators, visual effects artists, and developers building generative video workflows
- Alternative to
- Runway Gen-3, Pika, OpenAI Sora
- Tags
- deepmind, video editing, generative ai, gemini, vfx, multimodal
Why it was saved
- @rourke: Eliminates complex manual VFX workflows by letting creators modify lighting, add realistic animals or props, and change physical materials directly inside existing video footage.
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