This workflow builds fast, client-ready casting previs for advertising in two passes: a photo-real still and a short motion test. In STEP 1 – PREVIS STILL FRAME, your talent headshot (LoadImage) is combined with a scene description to synthesize a single frame of the talent in context (e.g., tennis court, soda product). Prompt text from MarkdownNote and PrimitiveNode is merged with shot directions using StringConcatenate, and GeminiImage2Node performs image-to-image guided synthesis using the headshot and any optional product/environment references. The resulting frame is saved with SaveImage for quick side-by-side casting reviews.
STEP 2 – PREVIS VIDEO upgrades that still into a short motion clip. ImageBatchMulti assembles one or more selected stills into a batch, and KlingOmniProImageToVideoNode generates a quick image-to-video preview—ideal for validating basic motion like a gentle dolly-in, a sip, and a look-to-can. SaveVideo writes the final clip to disk. Because the video is derived from your approved still, character identity and wardrobe cues tend to remain consistent across frames, making it well-suited for talent casting, pitch decks, and early client sign-off.
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.
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