This workflow demonstrates prompt-guided image editing with the HY Image 3.5 Preview model using ComfyUI. It takes one source image, interprets a natural‑language instruction, and returns a single edited image. The core of the graph is the HunyuanImageEditApi node, which sends your image and prompt to the HY Image 3.5 Preview service for multimodal understanding and edit synthesis. LoadImage brings your source (for example, the provided futuristic_brutalist_motorcycle.png), and SaveImageAdvanced writes the result to disk with your preferred filename and format. A MarkdownNote in the canvas provides quick inline tips and links.
Technically, the workflow preserves the input image as a visual anchor while the HunyuanImageEditApi aligns your text prompt to the existing scene. This lets you direct high‑level changes (materials, colorways, backgrounds, lighting, mood) without manually masking or compositing. Because the inference runs through an API, you get consistent edits without managing local model weights, and SaveImageAdvanced gives you control over output naming, format, and quality for production handoff. It’s a practical setup for portrait cleanup, product/hero image variations, and fast turnarounds on marketing visuals.
API
通过代码使用此工作流
每个 Comfy 工作流都是一个 JSON 图。下面的内容就是此工作流的完整数据，ComfyUI 运行时也是如此——你可以从该 URL 获取、放入版本控制，或在 ComfyUI 中加载并逐节点运行。
使用 Comfy SDK 从 TypeScript 或 Python 运行。相同代码可用于 Comfy Cloud 或你自托管的 ComfyUI——只需更改基础 URL。
// 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");SDK 需要 API 格式的工作流：在 ComfyUI 中打开此工作流，使用 文件 → 导出工作流（API）。
