---
title: "Kling AI in ComfyUI"
description: "Kling AI is a cloud API model accessible through ComfyUI partner nodes without local hardware requirements."
canonical: https://comfy.org/p/supported-models/kling-ai
lang: en
index: https://comfy.org/llms.txt
---

# Kling AI in ComfyUI

Kling AI is a cloud API model accessible through ComfyUI partner nodes without local hardware requirements. You can run it in ComfyUI through partner nodes — inference runs on the provider's API, so no local weights or GPU are required. ComfyUI's node-based workflow editor lets you connect Kling AI with ControlNets, LoRAs, upscalers, and custom nodes to build any pipeline you need. There are 10 community workflow templates using Kling AI on Comfy Workflows, ready to load and customize.

## Facts

- Type: Partner node
- Pricing: published per-run credit rates for these partner nodes: https://docs.comfy.org/tutorials/partner-nodes/pricing#kling
- Community workflow templates: 10
- Tutorial: https://docs.comfy.org/tutorials/partner-nodes/kling/kling-motion-control

## How to run Kling AI

1. In ComfyUI through partner nodes — inference runs on the provider's API, no local weights or GPU required: https://comfy.org/download
2. On Comfy Cloud — the same graph, hosted end to end: https://cloud.comfy.org
3. Start from a community workflow template and adjust it node by node: https://www.comfy.org/workflows/model/kling
4. From your own application with the Comfy SDKs (Python and TypeScript, beta): https://docs.comfy.org/development/api-development/sdks.md
5. From a terminal or a coding agent with Comfy CLI; `comfy generate list` shows the partner models your CLI version can call: https://docs.comfy.org/agent-tools/cli.md
6. From Claude Code, Cursor, or Codex over Comfy MCP at https://cloud.comfy.org/mcp: https://docs.comfy.org/agent-tools/mcp.md

This page as HTML: https://comfy.org/p/supported-models/kling-ai
Full model catalog: https://comfy.org/p/supported-models/llms.txt