This ComfyUI workflow uses the Topaz Bloom 2 model inside the TopazImageEnhanceV2 node to upscale and creatively enhance a single image. Starting with a LoadImage node, your source is passed to Bloom 2 where you control how interpretive the enhancement is using the Creativity slider (1–9). Lower values refine existing detail; higher values allow Bloom 2 to add new textures and visual elements. Optional toggles for Face Recovery and Color Preservation give you fine control over fidelity: recover subtle facial structure without over-smoothing, or lock in original hues to prevent unwanted color shifts. A Grain control can reintroduce texture to avoid a plastic look after upscaling.
For transparency and iteration, the ImageCompare node provides a quick before/after view, making it easy to gauge whether your Creativity level and preservation settings are hitting the mark. When you’re satisfied, SaveImageAdvanced handles export with your preferred file details. The workflow is streamlined—LoadImage → TopazImageEnhanceV2 (Bloom 2) → ImageCompare → SaveImageAdvanced—making it ideal for improving AI artwork and illustrations, adding realism to CG renders, and refining facial detail in generated portraits. If the prompt field in TopazImageEnhanceV2 is left empty, the model will automatically generate one for you, letting you move quickly while still benefiting from stylistic guidance when desired.
API
코드에서 이 워크플로우 사용하기
모든 Comfy 워크플로우는 JSON 그래프입니다. 아래 페이로드는 이 워크플로우 그 자체로, ComfyUI에서 실행되는 것과 동일합니다 — URL에서 가져오거나, 버전 관리에 보관하거나, ComfyUI에서 불러와 노드별로 실행할 수 있습니다.
Comfy SDK로 TypeScript 또는 Python에서 실행하세요. 동일한 코드는 Comfy Cloud 또는 직접 호스팅하는 ComfyUI 모두에 적용됩니다 — 기본 URL만 다릅니다.
// 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");SDK는 API 형식의 워크플로우를 사용합니다: 이 워크플로우를 ComfyUI에서 열고 파일 → 워크플로우 내보내기(API)를 사용하세요.
