{"slug": "gemini-omni", "title": "Gemini Omni", "summary": "Gemini Omni is an AI creative studio that combines video editing with an understanding of physics, history, and narrative logic to generate coherent, realistic scenes from any input. It was developed with internal safety teams and includes SynthID digital watermarking for content transparency.", "body_md": "Creating your prompts\nUse our prompt guide to create realistic, coherent, and creative output.\nCreate anything from any input – starting with video\nThink of Gemini Omni like Nano Banana, but for video. Every edit you make builds on the one before – maintaining a consistent, coherent scene.\nGemini Omni combines an intuitive understanding of physics with Gemini's knowledge of history, science, and cultural context – bridging the gap from photorealism to meaningful storytelling.\nTurn any reference—image, text, video, or audio—into a single, cohesive output.\nGemini Omni is where Gemini’s ability to reason meets the ability to create. It delivers a leap in world understanding, multimodality, and editing.\nCreate scenes that follow real-world logic. Gemini Omni pulls from its deep knowledge of history, biology, and narrative logic to construct compelling stories.\nUse our prompt guide to create realistic, coherent, and creative output.\nGemini Omni Flash was developed in partnership with internal safety, security, and responsibility teams. A range of evaluations and red teaming activities were conducted to help improve the model and inform decision-making. These evaluations and activities align with Google's AI Principles and responsible AI approach, as well as Google's Generative AI policies (e.g. Gen AI Prohibited Use Policy and the Gemini API Additional Terms of Service). Evaluation types included but were not limited to:\nTraining/development evaluations including automated and human evaluations carried out continuously throughout and after the model’s training, to monitor its progress and performance\nHuman red teaming conducted by specialist teams who sit outside of the model development team, across the policies and desiderata, deliberately trying to spot weaknesses and ensure the model adheres to safety policies and desired outcomes\nAutomated red teaming to dynamically evaluate Gemini Omni Flash for safety and security considerations at scale, complementing human red teaming and static evaluations\nEthics and safety reviews conducted ahead of the model’s release\nContent created or edited with Omni in the Gemini app, Google Flow or YouTube includes our imperceptible SynthID digital watermark and C2PA Content Credentials. You can easily verify content through the Gemini app and coming soon to Chrome and Search. You can find out more about how we're expanding our content transparency and verification tools to help you understand how content was created and edited across the web in our blog post.\nSupercharge your creativity and productivity\nAn AI creative studio built with and for creatives\nA shorter way to discover, watch, and create on YouTube\nGoogle AI subscription required. Features vary by tier and geography.", "url": "https://wpnews.pro/news/gemini-omni", "canonical_source": "https://deepmind.google/models/gemini-omni/", "published_at": "2026-05-19 17:46:19+00:00", "updated_at": "2026-05-19 22:05:32.413524+00:00", "lang": "en", "topics": ["artificial-intelligence", "machine-learning", "large-language-models", "products", "research"], "entities": ["Gemini Omni", "Gemini Omni Flash", "Google", "Nano Banana"], "alternates": {"html": "https://wpnews.pro/news/gemini-omni", "markdown": "https://wpnews.pro/news/gemini-omni.md", "text": "https://wpnews.pro/news/gemini-omni.txt", "jsonld": "https://wpnews.pro/news/gemini-omni.jsonld"}}