This ComfyUI tutorial workflow upscales a landscape photo and restores fine natural detail using the TopazImageEnhanceV2 node. It starts with LoadImage, reads the original dimensions via GetImageSize, and scales the image with ImageScaleBy to your chosen factor (for example, 2x or 4x). The upscaled image is then passed to TopazImageEnhanceV2 (Topaz model) to bring back foliage texture, rock edges, and sky gradients while controlling noise and softness. Finally, SaveImage writes the enhanced output, and ImageCompare helps you visually inspect before/after results side-by-side.
Technically, the pipeline separates geometric upscaling from semantic enhancement. ImageScaleBy handles precise resizing based on the dimensions reported by GetImageSize, while TopazImageEnhanceV2 applies learned restoration tuned for natural scenery. The "Upscale Setting" group exposes the key controls so you can quickly adjust scale and enhancement behavior for different landscape inputs. This makes it a practical go-to for turning good scenic shots into print-ready or high-resolution web assets without over-sharpening or plastic artifacts.
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）。
