gen‑ai.news
← Back
Video

Gemini Omni 1.1 Flash lets you build with more control

Gemini Omni 1.1 Flash lets you build with more control

Google has released an update to Gemini Omni 1.1 Flash, adding a range of creative controls and generative video capabilities designed for developers working with the model through its APIs. The update appears focused on giving builders more structured ways to shape outputs, rather than simply expanding raw generation capacity.

The new creative controls give developers more influence over the style, composition, and direction of generated video content. This kind of fine-grained control has been a common request from developers building production applications, where consistency and predictability matter as much as the quality of any single output.

Gemini Omni 1.1 Flash sits within Google's broader Gemini family as a model that balances capability with speed and efficiency - the "Flash" designation has consistently indicated a model optimized for lower latency and cost compared to its heavier counterparts. Extending that model with video generation features suggests Google is working to make multimodal generation practical at scale, not just in research settings.

For developers, the practical significance is in workflow integration. Tighter controls mean generative video can be more reliably woven into products without requiring extensive post-processing or prompt engineering workarounds. As the generative video space grows more competitive, with offerings from OpenAI, Runway, and others, Google's move to surface these tools through the Gemini developer ecosystem reflects an effort to keep its platform relevant for teams building directly on top of its infrastructure.

Enjoy this story? Get the next one in your inbox.

Twice a week: the most important stories in generative image and video AI, distilled into a 2-minute read.

Free. Unsubscribe any time. No spam, ever.

Your next read

Nikon microscopic video competition winner disqualified for using generative AI
Video

Nikon microscopic video competition winner disqualified for using generative AI

Nikon has disqualified the original first-place winner of its Small World in Motion microscopy video competition after determining the entry used generative AI in post-processing, violating contest rules. Dr. Ning Xu's video, which purported to show cilia moving in a child's airway, came under scrutiny after doubts about its authenticity surfaced online. Nikon confirmed last week that it had been reviewing the submission before reaching its decision.

Runway News | Runway is in Claude Motion
Video

Runway News | Runway is in Claude Motion

Runway has announced an integration with Claude Motion, allowing users to export animated explainer content directly into Runway's video production environment. From there, creators can generate footage, layer in voiceover and music, edit at the scene level, and reformat outputs for different platforms.

Claude can now generate animated explainer videos and live data dashboards from text prompts
Video

Claude can now generate animated explainer videos and live data dashboards from text prompts

Anthropic has introduced two beta features for Claude: Dashboards, which connects to data sources like BigQuery and Snowflake to build live dashboards from text prompts, and Motion, which produces animated explainer videos from text and images. The company also expanded its existing Docs, Slides, and Design tools to all users, including those on free plans.