This two-stage ComfyUI workflow turns a low- or mid-resolution image into a high-fidelity result using the Wan2.2 diffusion model in controlled image-to-image mode. After you LoadImage, GeminiNodeV3 analyzes the picture and generates a concise descriptive prompt that conditions Wan2.2 during upscaling. The pipeline then runs in two passes inside the Image Controlled Upscale group: a coarse first pass to establish structure at a larger size, followed by a fine second pass to restore and enhance details while keeping the original look.
Stage 1 and Stage 2 are implemented with the custom upscaler nodes (8c62a455-6744-43c8-9352-543905ed4db7 and 058e194e-5740-4f04-a9ca-7c741daecfcc), which accept your resize factor, denoise strength, and sampler steps. Author notes provide practical ranges: use 0.20–0.40 denoise for a more creative, coarse pass and 0.10–0.20 for detail-preserving refinement; 25 steps for quick results, or 50+ for maximum quality. PreviewAny gives you live feedback, ImageCompare shows side-by-side before/after in the Image Compare group, and SaveImage exports the final output. A MarkdownNote inside the workflow summarizes the guidance so you can quickly dial in the right settings for different images.
This iterative approach is especially effective for AI-generated images or stylized art that benefit from prompt-guided reconstruction. By pairing auto-prompting (GeminiNodeV3) with Wan2.2’s image-to-image strengths, the workflow preserves identity while recovering edges, textures, and fine details that simple pixel upscalers can miss.
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）。
