This workflow builds cinematic color grades with precision and then animates your graded still into a short video. It starts with LoadImage and ImageHistogram in the Input And Histogram group to help you read the tonal distribution of your reference image. You then shape the look using multiple CurveEditor nodes in the Native Curve Editors group (master plus red, green, and blue) and send those curves to a GLSLShader in the GLSL Curve/LUT Grade group. The shader applies your per-channel remaps in real time, so you can iterate quickly while checking before/after with ImageCompare and live previews with PreviewAny. SaveImage lets you export the graded still if that’s all you need.
To create motion from the look you’ve crafted, the Motion Prompt And Seedance group uses a ByteDance2ReferenceNode (Seedance 2.0) that generates a video conditioned on your graded reference image and a motion prompt. A GeminiNode can optionally draft or refine motion prompts for you, while PrimitiveFloat nodes drive key parameters such as curve blend or shader strength for fine control. Finally, SaveVideo assembles the generated frames into a video file. The result is a streamlined grade-to-video pipeline that’s easy to tune and iterate.
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 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");SDK는 API 형식의 워크플로우를 사용합니다: 이 워크플로우를 ComfyUI에서 열고 파일 → 워크플로우 내보내기(API)를 사용하세요.
FAQ
