---
title: "Luma Dream Machine in ComfyUI"
description: "Luma Dream Machine is a cloud API model accessible through ComfyUI partner nodes without local hardware requirements."
canonical: https://comfy.org/p/supported-models/luma-dream-machine
lang: en
index: https://comfy.org/llms.txt
---

# Luma Dream Machine in ComfyUI

Luma Dream Machine 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 Luma Dream Machine with ControlNets, LoRAs, upscalers, and custom nodes to build any pipeline you need. There are 9 community workflow templates using Luma Dream Machine 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#luma
- Community workflow templates: 9

## How to run Luma Dream Machine

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/luma
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/luma-dream-machine
Full model catalog: https://comfy.org/p/supported-models/llms.txt