The Gemini model family is multimodal [https://docs.cloud.google.com/vertex-ai/generative-ai/docs/model-reference/inference], meaning it can accept text, audio, and video (MP4) simultaneously in a single prompt.
You can balance quality and latency by adjusting the media resolution parameters in your API request [https://ai.google.dev/gemini-api/docs/media-resolution]. Using the API for MP4 Files 14728mp4
Ensure your MP4 file meets the size and duration requirements of the specific Gemini model you are using [https://www.metacto.com/blogs/the-true-cost-of-google-gemini-a-guide-to-api-pricing-and-integration] (e.g., Gemini 2.5 Pro). The Gemini model family is multimodal [https://docs
If you are using the generateContent endpoint for an MP4 file, keep these technical requirements in mind: If you are using the generateContent endpoint for
To get the best results, use concise but specific prompts that mention the mood, camera behavior, and lighting style.
Platforms like Gemini Business often provide interfaces to generate AI videos with sound and realistic details such as lip-syncing [https://m.youtube.com/watch?v=5uJmee38jaM].