The 'Topaz Astra: Video Creative Upscale' workflow is designed to enhance video quality using advanced AI techniques. At its core, this workflow leverages the Topaz AI models, specifically the Starlight (Astra) Fast model for resolution upscaling and the apo-8 model for frame interpolation. The workflow begins by loading a video file using the LoadVideo node, which serves as the input for the enhancement process. The TopazVideoEnhance node then applies the selected AI models to upscale the video resolution and smooth out motion through frame interpolation. Finally, the enhanced video is saved using the SaveVideo node, ensuring that the output retains the improvements made during processing.
This workflow is particularly useful for creators looking to improve the visual quality of their video content without the need for expensive hardware or extensive manual editing. By automating the upscaling and interpolation processes, users can achieve professional-looking results with minimal effort. The integration of Topaz AI's advanced models ensures that the enhancements are both efficient and effective, making this workflow a valuable tool for video editors and content creators alike.
API
코드에서 이 워크플로우 사용하기
모든 Comfy 워크플로우는 JSON 그래프입니다. 아래 페이로드는 이 워크플로우 그 자체로, ComfyUI에서 실행되는 것과 동일합니다 — URL에서 가져오거나, 버전 관리에 보관하거나, ComfyUI에서 불러와 노드별로 실행할 수 있습니다.
Comfy SDK로 TypeScript 또는 Python에서 실행하세요. 동일한 코드는 Comfy Cloud 또는 직접 호스팅하는 ComfyUI 모두에 적용됩니다 — 기본 URL만 다릅니다.
// Install (beta)
npm i @comfyorg/sdk
// Run "Topaz Astra: 비디오 크리에이티브 업스케일" (TypeScript)
import { Comfy } from "@comfyorg/sdk";
const client = new Comfy({ apiKey: "comfyui-..." });
// This workflow, exported in API format (see note below)
const wf = await client.workflows.fromFile("api_topaz_video_enhance_api.json");
const job = await client.run(wf);
await job.getOutputs("9")[0].toFile("output.png"); // SaveVideoSDK는 API 형식의 워크플로우를 사용합니다: 이 워크플로우를 ComfyUI에서 열고 파일 → 워크플로우 내보내기(API)를 사용하세요.
FAQ
