Gemini Omni

Google DeepMind describes Gemini Omni as doing for video what its Nano Banana model did for images: making generation and editing feel like a conversation. Instead of writing one perfect prompt, you can refine a clip in steps, and the model keeps the scene consistent as each change builds on the last. Its ability to combine image, audio, text and video references in one request is what sets it apart from earlier text-first video models.

• Conversational editing lets you adjust action, style or objects in an existing video through plain-language follow-ups.
• Multiple reference types can be mixed, including images, audio and clips of a few seconds.
• Motion transfer applies movement from one video to a character in a still image.
• Scene extension and first and last frame control help stitch shots into longer stories.
• Outputs from Google's apps carry an imperceptible SynthID watermark and C2PA Content Credentials.

Gemini Omni is a natural pick for creators already in the Google ecosystem, YouTube Shorts makers, and developers who want a video model through the Gemini API. A practical tip: work at the fast draft resolution while you iterate on edits, and only render and upscale once the motion and framing look right, which saves time and credits.