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
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）。
