This ComfyUI workflow turns any sentence into a Vox-style archival newspaper match-cut montage. An OpenAIChatNode (driven by OpenAIChatConfig) takes your sentence and splits it into a clean list of words. FL_PromptMulti then expands those words into per-word image prompts, and OpenAIGPTImage1 calls OpenAI’s gpt-image-1 model to render each word as a bold editorial headline on an aged newsprint page. SaveImage can optionally write out the individual frames for inspection and iteration.
Once the frames are generated, ImageRemoveAlpha+ ensures each image has an opaque background for video encoding. ImageListToImageBatch organizes the frames, and ImageBatchRepeatInterleaving duplicates each frame a set number of times to create the snappy, stop‑motion pacing typical of match cuts. CreateVideo assembles the batch into an MP4 at your chosen frame rate, and SaveVideo writes the final clip. You can quickly change the visual direction by editing the base prompt in OpenAIChatConfig—switch from monochrome broadsheet to magazine color, tabloid grit, ransom-note collage, or comic-book halftone—while FPS and repeat count let you fine‑tune timing and readability.
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
