image-generation

To generate images using structured prompts, you create JSON-formatted text and supply reference images to guide style and composition. The Skill processes these inputs through an automated Python script to produce high-quality visual content.

Yes, automated Python script execution handles the image generation pipeline. It utilizes the Pillow library, along with requests and base64, to process JSON prompts and reference images into final visual outputs.

The best way to create character designs and product visualizations is by defining detailed JSON-formatted prompts. This structures the generation parameters precisely, while reference images provide specific visual guidance for the output.

Yes, scene generation supports specifying aspect ratios like 16:9 directly within the JSON prompt structure. This allows you to tailor the generated visual content for specific display formats and presentation needs.

Yes, you need to install Pillow, requests, and base64 dependencies in your environment. These libraries are required to execute the Python scripts that process your reference images and structured prompts.

Providing reference images improves output by directly guiding the visual style and composition of the generated content. The script uses these references alongside your structured JSON prompts to ensure the final image matches your desired aesthetic.