The Qwen-Image InstantX Union ControlNet workflow is designed to generate high-quality images using the Qwen-Image model with advanced ControlNet capabilities. This workflow integrates multiple control techniques such as canny edge detection, soft edge, depth, and pose estimation to offer fine-grained control over the image generation process. By leveraging these techniques, users can create images that adhere closely to specific visual constraints or stylistic guidelines. Technically, the workflow utilizes a combination of nodes including SaveImage, LoadImage, and PreviewImage to handle image data, while specialized nodes like 0e306186-0dda-4b49-bfcb-98cab32901d9 and f8e756aa-94b4-4c02-943d-2e7910344622 are used to apply the ControlNet transformations. The FluxKontextImageScale node further refines the scaling of images, ensuring that the output maintains high fidelity to the input parameters.
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 "Qwen-Image InstantX Union ControlNet" (TypeScript)
import { Comfy } from "@comfyorg/sdk";
const client = new Comfy({ apiKey: "comfyui-..." });
// This workflow, exported in API format (see note below)
const wf = await client.workflows.fromFile("image_qwen_image_instantx_controlnet_api.json");
const asset = client.assets.fromFile("input.png");
wf.setInput("71", "image", asset); // LoadImage
const job = await client.run(wf);
await job.getOutputs("60")[0].toFile("output.png"); // SaveImageThe 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.
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