AI on the Lot 2026 - Final WF - t2v is a complete text-to-video pipeline that stitches together prompt design, image synthesis, and video assembly inside ComfyUI. It uses AILab_QwenVL and AILab_QwenVL_PromptEnhancer to turn a simple idea into a rich, structured prompt. From there, the workflow generates high-quality keyframes with the image synthesis stage (node ID e9d2dda8-2509-4d8d-9702-a9bf00c26650), previews results with PreviewAny, and then builds a cohesive video clip in the video stage (node ID 99c27236-513e-427c-9ed4-49406365f0d3). SaveImage and SaveVideo provide clean, reproducible exports at each stage.
Technically, the flow is: your base text prompt (and optionally a reference image) goes into AILab_QwenVL to extract and enrich scene details. AILab_QwenVL_PromptEnhancer refines the text into a model-friendly prompt with clearer subjects, styles, and shot descriptors. That prompt feeds the image generator node (e9d2dda8-2509-4d8d-9702-a9bf00c26650) to produce one or more seed-controlled keyframes at your chosen resolution. Those frames are then passed to the video node (99c27236-513e-427c-9ed4-49406365f0d3), which synthesizes a clip based on duration and motion/consistency settings. PreviewAny helps you iterate quickly, while SaveImage and SaveVideo lock in stills or a final video once you’re happy. Because the stages are modular, you can use it for text-to-image only, image-to-video only, or end-to-end text-to-video with the same graph.
API
通过代码使用此工作流
每个 Comfy 工作流都是一个 JSON 图。下面的内容就是此工作流的完整数据，ComfyUI 运行时也是如此——你可以从该 URL 获取、放入版本控制，或在 ComfyUI 中加载并逐节点运行。
使用 Comfy SDK 从 TypeScript 或 Python 运行。相同代码可用于 Comfy Cloud 或你自托管的 ComfyUI——只需更改基础 URL。
// 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");SDK 需要 API 格式的工作流：在 ComfyUI 中打开此工作流，使用 文件 → 导出工作流（API）。
常见问题
