video-generation

To generate video from a prompt, you execute a Python script that processes a structured JSON prompt file and optional reference images to produce video content. This workflow requires setting a GEMINI_API_KEY to access the generation API.

Yes, you can use reference images to guide the video generation style. Including optional reference images in your workspace allows you to control the visual style or define the first and last frames for the video output produced by the script.

Yes, a GEMINI_API_KEY is required to run the video generation workflow. The Python script depends on this API key to authenticate requests and access the underlying video generation API for producing your final video assets.

The best way to create concept visuals for marketing promos is using a structured JSON prompt workflow. This approach allows marketing teams to rapidly prototype opening scenes and social clips by turning structured text prompts into high-quality video assets.

Yes, video generation with JSON prompts supports configurable aspect ratios. The Python script processes your structured prompt and reference images to produce video content with aspect ratio settings tailored to your specific marketing or storytelling needs.

Structured JSON prompt video generation provides more control than plain text to video tools by allowing precise parameter configuration and optional reference image guidance. This workflow ensures consistent style and frame control for opening scenes and concept visuals.