This ComfyUI tutorial workflow demonstrates how to drive Ideogram v4 via a structured JSON prompt to get clean text rendering, consistent brand colors, and reliable layout control. Instead of a single free-form sentence, you build a compact JSON object that describes the scene, in-image text, a color palette, and per-object bounding boxes. That JSON is fed into the IdeogramV4 partner API node, which returns a high-quality image that adheres to your specified layout as closely as the model allows. The output flows directly to SaveImage.

To make authoring easier, the JSON Prompt Builder group (enable it by selecting the group and pressing Ctrl+B) includes a MarkdownNote with a schema/template and an optional GeminiNode that can transform a plain brief into a well-formed JSON prompt. You can preview the structured prompt with PreviewAny before sending it to IdeogramV4, iterate on bounding boxes or palette values, and then render the final image. This approach is ideal when you need reliable in-image text, brand-safe palettes, and object placement that a natural-language prompt alone struggles to achieve.