The 'Wan ATI Trajectory Control' workflow is designed to offer precise manual control over animation trajectories, making it an invaluable tool for creators looking to refine complex animations. At its core, the workflow utilizes a combination of nodes such as VHS_VideoCombine, FL_KsamplerPlus, and FL_PathAnimator, which work together to allow users to edit and control animation paths with precision. The Path Editor Node is particularly noteworthy, as it enables users to manually adjust trajectories, offering a level of customization that is often required in professional animation production.
This workflow is especially useful because it bridges the gap between static image manipulation and dynamic video creation. By using nodes like VHS_DuplicateImages and LoadImage, users can start with a single image or a series of images and transform them into a fluid animation. The PrimitiveInt node is employed to handle integer values that might be needed for various parameters, ensuring that the workflow remains flexible and adaptable to different project requirements. This makes the workflow not only technically robust but also highly practical for a range of animation tasks.
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
