The 'Kling2.0: Image to Video' workflow in ComfyUI is designed to transform static images into dynamic video sequences with a high degree of prompt adherence. Utilizing the Kling and Kling 2.0 models, this workflow excels in capturing intricate actions, expressions, and camera movements, ensuring that the generated video aligns closely with the specified prompts. The workflow incorporates several key nodes, including the KlingImage2VideoNode for processing images into videos, the LoadImage node for importing images, and the SaveVideo node for exporting the final video output. A MarkdownNote node is also included to provide users with detailed instructions and notes directly within the workflow interface. This setup is particularly useful for content creators and developers who need to generate videos that require precise control over visual elements and narrative flow.
API
Use this workflow from code
Every Comfy workflow is a JSON graph. The payload below is this workflow, exactly as ComfyUI runs it — fetch it from the URL, keep it in version control, or load it in ComfyUI and run it node by node.
Run it from TypeScript or Python with the Comfy SDK. The same code targets Comfy Cloud or a ComfyUI you host yourself — only the base URL changes.
// 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");The SDK takes a workflow in API format: open this workflow in ComfyUI and use File → Export Workflow (API).
Comfy Cloud API access requires a plan with an API key.
FAQ
