AI Storyboarding
AI Storyboarding is a structured workflow that combines Gemini and DALL-E 3 to generate sequences of AI-generated images for visual planning and narrative purposes. The method uses JSON as a standardized format to define and organize image generation parameters across multiple frames, enabling creators to maintain visual consistency and control relationships between sequential images.
Workflow Process
The workflow leverages Gemini’s language capabilities to generate or refine JSON specifications that describe individual storyboard frames. These specifications include visual parameters such as composition, style, character positioning, and environmental details. Gemini processes natural language descriptions or creative briefs and outputs structured JSON data, which is then used to prompt DALL-E 3 for image generation. This separation of specification and image generation allows for iterative refinement and reproducibility across multiple frames.
Technical Implementation
The JSON-based approach provides a machine-readable format that standardizes how visual information is communicated between tools. By maintaining consistent parameter definitions across frames, creators can ensure visual continuity in character appearance, lighting, color palettes, and scene composition. The format also enables easier version control and collaboration, as changes to specifications can be tracked and compared systematically.
Applications
AI Storyboarding is applicable to film and animation pre-visualization, comic book planning, video game concept development, and marketing or advertising campaigns. The workflow reduces manual effort in initial visual planning stages while allowing creators to explore multiple variations and maintain narrative coherence across sequential imagery.