This workflow generates a clean, orthographic character turnaround (front, side, and back) from a single reference image—ideal for sci‑fi mechs and armor designs. It starts with LoadImage to bring in a front orthographic reference (a sample white_mech_front_ortho.png is included). That image is then passed to GeminiImage2Node, which calls a Google Generative image API and uses your text instructions plus the reference to synthesize additional angles while preserving key features like silhouette, plate layout, decals, and color scheme. SaveImageAdvanced writes each view to disk with predictable filenames so you can assemble them into a final sheet in your design tool. A MarkdownNote in the graph provides inline guidance and prompt tips.
Technically, consistency across views is encouraged by conditioning GeminiImage2Node with the same reference image and carefully worded prompts (e.g., “orthographic side view of the same mech as the reference; match plating, helmet, and markings; no perspective; white background”). Because this template relies on an external API rather than local checkpoints, it’s quick to set up—no model downloads are required—making it a practical tool for concept artists and product designers who need fast, multi‑view explorations of a single design.
API
從程式碼使用此工作流
每個 Comfy 工作流都是一個 JSON 圖。下方的 payload 就是此工作流，與 ComfyUI 執行時完全相同 — 你可以從此 URL 取得、放入版本控制，或在 ComfyUI 載入並逐節點執行。
使用 Comfy SDK 以 TypeScript 或 Python 執行。相同程式碼可用於 Comfy Cloud 或你自架的 ComfyUI — 只需更改 base 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 需使用 API 格式的工作流：請在 ComfyUI 開啟此工作流，並使用 檔案 → 匯出工作流（API）。
