This workflow compares an original image against a Topaz Wonder 3.5–enhanced result using a simple, controlled A/B setup. The LoadImage node provides the source, TopazImageEnhanceV2 applies Wonder 3.5 with a selectable enhancement strength (Low, Medium, or High), and ImageCompare renders a side-by-side view so you can judge fine detail, noise handling, and text/edge clarity. SaveImageAdvanced captures outputs so you can review results across runs.
Methodologically, you hold the model and input constant and vary only the enhancement strength across sequential runs. Low generally preserves natural texture and grain while reducing noise modestly; Medium aims for a balanced boost in detail and denoising; High pushes aggressive detail synthesis, stronger sharpening, and more assertive noise removal. Expect sharper text and structured graphics at higher strengths, but watch for oversharpening, altered grain, or fabricated micro-texture—especially on skin and smooth gradients. Use the A/B view to decide which trade-off best suits your subject and output requirements.
API
Use this workflow from code
Every Comfy workflow is a JSON graph. The payload below is this workflow, exactly as ComfyUI runs it — fetch it from the URL, keep it in version control, or load it in ComfyUI and run it node by node.
Run it from TypeScript or Python with the Comfy SDK. The same code targets Comfy Cloud or a ComfyUI you host yourself — only the base URL changes.
// 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");The SDK takes a workflow in API format: open this workflow in ComfyUI and use File → Export Workflow (API).
Comfy Cloud API access requires a plan with an API key.
FAQ
