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
Usa este flujo de trabajo desde código
Cada flujo de trabajo de Comfy es un grafo JSON. El siguiente payload es este flujo de trabajo, exactamente como lo ejecuta ComfyUI: descárgalo desde la URL, guárdalo en control de versiones o cárgalo en ComfyUI y ejecútalo nodo por nodo.
Ejecuta desde TypeScript o Python con el Comfy SDK. El mismo código funciona en Comfy Cloud o en un ComfyUI propio: solo cambia la URL base.
// 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");El SDK utiliza un flujo de trabajo en formato API: abre este flujo de trabajo en ComfyUI y usa Archivo → Exportar flujo de trabajo (API).
El acceso a la API de Comfy Cloud requiere un plan con clave API.
