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.
API
Use this workflow from code
Every Comfy workflow is a JSON graph. The payload below is this workflow, exactly as ComfyUI runs it — fetch it from the URL, keep it in version control, or load it in ComfyUI and run it node by node.
Run it from TypeScript or Python with the Comfy SDK. The same code targets Comfy Cloud or a ComfyUI you host yourself — only the base URL changes.
// Install (beta)
npm i @comfyorg/sdk
// Run this workflow (TypeScript)
import { Comfy } from "@comfyorg/sdk";
const client = new Comfy({ apiKey: "comfyui-..." });
const wf = await client.workflows.fromFile("workflow_api.json");
const job = await client.run(wf);
await job.getOutputs("<output-node-id>")[0].toFile("output.png");The SDK takes a workflow in API format: open this workflow in ComfyUI and use File → Export Workflow (API).
Comfy Cloud API access requires a plan with an API key.
FAQ
