How do I install the Luma Video skill?

Run npx skillmds@latest add acedatacloud/luma-video in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Luma Video safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: makes network calls, reads secrets. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Luma Video?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Luma Video free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under Apache-2.

Who published Luma Video?

acedatacloud (@acedatacloud) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Luma Video by acedatacloud — Agent Skill

Name: Luma Video
Rating: 4.5 (4 reviews)
Author: acedatacloud

Luma Video

Generate AI videos with Luma Dream Machine via AceDataCloud API. Use when creating videos from text prompts, generating videos from reference images, extending existing videos, or any video generation task with Luma. Supports text-to-video, image-to-video, and video extension.

acedatacloud Updated Sep 9, 2026

File contents

Luma Video Generation

Generate AI videos through AceDataCloud's Luma Dream Machine API.

Setup: See authentication for token setup.

Quick Start

curl -X POST https://api.acedata.cloud/luma/videos \
  -H "Authorization: Bearer $ACEDATACLOUD_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "a drone flying over a mountain lake at sunrise", "action": "generate", "callback_url": "https://api.acedata.cloud/health"}'

Async: See async task polling. Poll via POST /luma/tasks with {"id": "..."}.

Workflows

1. Text-to-Video

Generate video purely from a text description.

POST /luma/videos
{
  "prompt": "a timelapse of flowers blooming in a garden",
  "action": "generate",
  "aspect_ratio": "16:9",
  "loop": false,
  "enhancement": true
}

2. Image-to-Video

Use start and/or end reference images to guide generation.

POST /luma/videos
{
  "prompt": "the scene comes alive with gentle wind",
  "action": "generate",
  "start_image_url": "https://example.com/scene.jpg",
  "end_image_url": "https://example.com/scene-end.jpg",
  "aspect_ratio": "16:9"
}

3. Extend a Video

Continue an existing video with a new prompt.

POST /luma/videos
{
  "action": "extend",
  "video_id": "existing-video-id",
  "prompt": "the camera continues forward through the forest"
}

Aspect Ratios

Ratio	Use Case
`16:9`	Landscape (default) — YouTube, TV
`9:16`	Portrait — TikTok, Instagram Stories
`1:1`	Square — Social media
`4:3`	Classic — Presentations
`21:9`	Ultra-wide — Cinematic

Parameters

Parameter	Type	Default	Description
`prompt`	string	—	Text description of the video (required)
`action`	string	`"generate"`	`"generate"` or `"extend"`
`aspect_ratio`	string	`"16:9"`	Video aspect ratio
`loop`	bool	`false`	Create seamless loop
`enhancement`	bool	`true`	Enhance prompt for better results
`start_image_url`	string	—	Reference image for first frame
`end_image_url`	string	—	Reference image for last frame
`video_id`	string	—	ID of video to extend (alternative to `video_url`)
`video_url`	string	—	URL of video to extend (alternative to `video_id`)
`timeout`	number	—	Timeout in seconds for the API to return data
`callback_url`	string	—	Webhook URL for async notifications

Gotchas

enhancement: true (default) improves prompt quality but may alter your intent — set to false for literal prompts
Start/end image URLs must be publicly accessible
loop: true creates seamless looping video — good for backgrounds and social media
Extend requires either video_id or video_url from a previously completed generation
Video generation takes 1–5 minutes depending on complexity
Both start and end images are optional — you can use just one for partial guidance

MCP: pip install mcp-luma | Hosted: https://luma.mcp.acedata.cloud/mcp | See all MCP servers

---name: luma-videodescription: Generate AI videos with Luma Dream Machine via AceDataCloud API. Use when creating videos from text prompts, generating videos from reference images, extending existing videos, or any video generation task with Luma. Supports text-to-video, image-to-video, and video extension.license: Apache-2.0--- # Luma Video Generation Generate AI videos through AceDataCloud's Luma Dream Machine API. > **Setup:** See [authentication](../_shared/authentication.md) for token setup. ## Quick Start ```bash curl -X POST https://api.acedata.cloud/luma/videos \ -H "Authorization: Bearer $ACEDATACLOUD_API_TOKEN" \ -H "Content-Type: application/json" \ -d '{"prompt": "a drone flying over a mountain lake at sunrise", "action": "generate", "callback_url": "https://api.acedata.cloud/health"}' ``` > **Async:** See [async task polling](../_shared/async-tasks.md). Poll via `POST /luma/tasks` with `{"id": "..."}`. ## Workflows ### 1. Text-to-Video Generate video purely from a text description. ```json POST /luma/videos { "prompt": "a timelapse of flowers blooming in a garden", "action": "generate", "aspect_ratio": "16:9", "loop": false, "enhancement": true } ``` ### 2. Image-to-Video Use start and/or end reference images to guide generation. ```json POST /luma/videos { "prompt": "the scene comes alive with gentle wind", "action": "generate", "start_image_url": "https://example.com/scene.jpg", "end_image_url": "https://example.com/scene-end.jpg", "aspect_ratio": "16:9" } ``` ### 3. Extend a Video Continue an existing video with a new prompt. ```json POST /luma/videos { "action": "extend", "video_id": "existing-video-id", "prompt": "the camera continues forward through the forest" } ``` ## Aspect Ratios | Ratio | Use Case | |-------|----------| | `16:9` | Landscape (default) — YouTube, TV | | `9:16` | Portrait — TikTok, Instagram Stories | | `1:1` | Square — Social media | | `4:3` | Classic — Presentations | | `21:9` | Ultra-wide — Cinematic | ## Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `prompt` | string | — | Text description of the video (required) | | `action` | string | `"generate"` | `"generate"` or `"extend"` | | `aspect_ratio` | string | `"16:9"` | Video aspect ratio | | `loop` | bool | `false` | Create seamless loop | | `enhancement` | bool | `true` | Enhance prompt for better results | | `start_image_url` | string | — | Reference image for first frame | | `end_image_url` | string | — | Reference image for last frame | | `video_id` | string | — | ID of video to extend (alternative to `video_url`) | | `video_url` | string | — | URL of video to extend (alternative to `video_id`) | | `timeout` | number | — | Timeout in seconds for the API to return data | | `callback_url` | string | — | Webhook URL for async notifications | ## Gotchas - `enhancement: true` (default) improves prompt quality but may alter your intent — set to `false` for literal prompts - Start/end image URLs must be publicly accessible - `loop: true` creates seamless looping video — good for backgrounds and social media - Extend requires either `video_id` or `video_url` from a previously completed generation - Video generation takes 1–5 minutes depending on complexity - Both start and end images are optional — you can use just one for partial guidance > **MCP:** `pip install mcp-luma` | Hosted: `https://luma.mcp.acedata.cloud/mcp` | See [all MCP servers](../_shared/mcp-servers.md)

Frequently asked questions