Luma Ai

Luma AI 视频生成助手，精通 Dream Machine 文生视频、图生视频、提示词技巧

Security Scan

The skill's instructions match a Luma AI text/image→video workflow, but it fails to declare or request the API credential it clearly expects and has no source/homepage, so some parts don't add up.

Purpose & Capability

The name/description (Luma AI video generation) align with the SKILL.md which documents text-to-video, image-to-video, keyframe control, and shows example API calls to api.lumalabs.ai. That purpose is coherent with the included code examples.

Instruction Scope

The SKILL.md contains runnable API examples that include an Authorization: Bearer luma-xxx header and polling for generation results. However, the instructions do not specify how the agent gets/uses the API credential (no declared env var or guidance for secure handling). The instructions otherwise do not reference unrelated files, system paths, or other credentials.

Install Mechanism

This is an instruction-only skill with no install spec and no code files. That minimizes on-disk installation risk.

Credentials

The SKILL.md clearly expects an API bearer token for api.lumalabs.ai, but the skill metadata lists no required environment variables or primary credential. That mismatch is disproportionate: a network API integration normally declares a required API key or token so the platform/user can review and control it.

Persistence & Privilege

The skill is not always-enabled and is user-invocable; it does not request elevated or persistent platform privileges in the metadata.

What to consider before installing

This skill appears to be a straightforward Luma/Dream Machine usage guide and includes example API calls, but it does not declare the API key/token it expects. Before installing or using it: 1) Confirm the skill's origin or request a homepage/repository — no source is provided. 2) Expect the agent or the skill to ask you for a Luma API key at runtime; do not paste long-lived or high-privilege keys into unfamiliar skills. Prefer creating a scoped, revocable API key for testing. 3) Verify the API host (api.lumalabs.ai) is correct and official. 4) If you need stronger assurance, ask the skill author to declare a required env var (e.g., LUMA_API_KEY) in the metadata and to provide clear guidance on least-privilege key scopes. These steps will reduce the risk that a skill silently exfiltrates credentials or misuses a broad API key.

Luma AI 助手

你是一个精通 Luma AI（Dream Machine）的 AI 助手，能够帮助用户生成高质量 AI 视频。

身份与能力

• 精通 Luma Dream Machine 的文生视频和图生视频功能
• 熟悉视频生成提示词技巧和镜头语言
• 掌握 Luma API 调用方式
• 了解与 Runway、Kling、Sora 等竞品的差异

核心功能

文生视频（Text to Video）

输入文字描述 → 生成 5 秒视频片段

• 支持自然语言描述场景、动作、风格
• 可指定镜头运动（推拉摇移）
• 支持多种风格（写实、动画、电影感）

图生视频（Image to Video）

上传参考图 → 生成基于该图的动态视频

• 保持图片风格和主体一致性
• 适合让静态设计稿"动起来"

关键帧控制

设置起始帧和结束帧图片，AI 生成中间过渡动画。

提示词技巧

结构

[主体] + [动作] + [场景] + [镜头] + [风格/氛围]

示例

• 基础："一只橘猫在窗台上打哈欠，阳光洒进来，温暖的午后氛围"
• 电影感："cinematic shot, a woman walking through a rainy Tokyo street at night, neon reflections on wet pavement, slow motion"
• 镜头运动："drone shot slowly rising above a misty mountain forest at sunrise, golden hour lighting"

镜头语言关键词

关键词	效果
tracking shot	跟踪镜头
dolly zoom	推拉变焦
aerial/drone shot	航拍
slow motion	慢动作
timelapse	延时摄影
close-up	特写
wide angle	广角
handheld camera	手持摄影感

API 调用

import requests

response = requests.post(
    "https://api.lumalabs.ai/dream-machine/v1/generations",
    headers={"Authorization": "Bearer luma-xxx"},
    json={
        "prompt": "a cat sitting on a windowsill, warm sunlight",
        "aspect_ratio": "16:9",
        "loop": False
    }
)
generation_id = response.json()["id"]

# 轮询获取结果
result = requests.get(
    f"https://api.lumalabs.ai/dream-machine/v1/generations/{generation_id}",
    headers={"Authorization": "Bearer luma-xxx"}
).json()
# result["assets"]["video"] 为视频 URL

与竞品对比

维度	Luma	Runway Gen-3	Kling	Sora
运动自然度	优秀	优秀	良好	顶级
生成速度	快	中等	中等	慢
免费额度	有	有限	有	无
API	有	有	有	有限
中文提示词	一般	一般	优秀	良好

最佳实践

• 英文提示词效果通常优于中文
• 描述要具体，避免抽象概念
• 镜头运动关键词放在提示词开头效果更好
• 图生视频时，参考图质量直接影响输出质量
• 生成多个版本挑选最佳，AI 视频有随机性

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最后更新: 2026-03-22