This workflow demonstrates how to upscale and restore images using SeedVR2 3B Int8, a one‑step diffusion-based video restoration model adapted here for still images and frame-by-frame processing. The core of the graph is a SeedVR2 inference node (id: 1970dcb4-982a-4c01-a373-4d239a3041e4) configured for the 3B Int8 weights and paired with the provided VAE (seedvr2_ema_vae_fp16.safetensors). You load your source with LoadImage, route it through the SeedVR2 node for enhancement/upscaling, compare results with ImageCompare, and finalize with SaveImage. A MarkdownNote in the graph provides inline guidance and links.
Technically, SeedVR2 performs a single forward pass to restore detail, reduce compression artifacts, and upscale, avoiding iterative denoising. The Int8 quantized 3B variant reduces VRAM usage and speeds up inference with a small quality trade-off versus full precision. While SeedVR2 is trained for video restoration and improved temporal consistency across sequences, it also produces strong results on individual images. If you process frame sequences consistently (e.g., exported video frames), the model’s training tends to yield visually stable outputs from frame to frame even when used one-at-a-time in ComfyUI.
API
Utiliser ce workflow depuis le code
Chaque workflow Comfy est un graphe JSON. Le contenu ci-dessous est ce workflow, exactement comme ComfyUI l’exécute — récupérez-le depuis l’URL, gardez-le dans le contrôle de version, ou chargez-le dans ComfyUI et exécutez-le nœud par nœud.
Exécutez-le depuis TypeScript ou Python avec le Comfy SDK. Le même code cible Comfy Cloud ou un ComfyUI auto-hébergé — seule l’URL de base change.
// 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");Le SDK prend un workflow au format API : ouvrez ce workflow dans ComfyUI et utilisez Fichier → Exporter le workflow (API).
L’accès à l’API Comfy Cloud nécessite un forfait avec clé API.
