Token导航 LogoToken导航TokenDH.com
中转站排行榜
开发敏感数据clawhub未标认证来源可访问clear审计提醒

monet-ai（莫奈艾）

Agent Skill

monet-ai 用于整理文档、README、Markdown 和说明材料，适合在 OpenClaw 中需要把零散信息整理成结构清晰的文档时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态，以及是否会触发联网、命令执行或文件读写。

总安装

24,384

周安装

1,016

GitHub Stars

1

下载量

8,128
OpenClaw

安装说明

本站只整理中文说明和来源信息，不托管安装包，也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手，先确认命令和权限，再让它执行。

请帮我安装这个 Agent Skill：monet-ai（莫奈艾）
来源仓库：https://github.com/seekton/monet-ai
安装命令：
openclaw skills install monet-ai
安装前请先检查当前环境是否支持对应 CLI，并向我确认将要执行的命令、安装目录、联网范围和文件读写权限；确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill；本站只展示命令，不托管安装包，也不自动执行。

ClawHubOpenClaw
openclaw skills install monet-ai

简介

monet-ai 用于整理文档和说明材料，适合在 OpenClaw 中将零散信息结构化为清晰内容时使用。

  • 适用于视频生成（如 Sora、Veo）和图像生成（如 GPT-4o）等多模态内容创作。
  • 提供综合 AI 内容生成 API，支持多种模型和格式。
  • 安装命令为 openclaw skills install monet-ai，需确认权限范围和维护状态。
  • 使用前建议核实是否会触发联网、命令执行或文件读写，避免安全风险。

SKILL.md

name
monet-ai-skill
description
Monet AI - Comprehensive AI content generation API for AI agents. Video generation (Sora, Veo, Doubao Seedance, Wan, Hailuo, Kling), image generation (GPT-4o, Nano Banana, Seedream, Flux, Imagen, Ideogram), and music generation (MiniMax Music). Build intelligent workflows with multi-model AI generation capabilities.
metadata
openclaw
requires
env
bins
[]

Monet AI Skill

Comprehensive AI content generation API designed for AI agents. Monet AI provides unified access to state-of-the-art AI generation models for video (Sora, Veo, Doubao Seedance, Wan, Hailuo, Kling), image (GPT-4o, Nano Banana, Seedream, Flux, Imagen, Ideogram), and music (MiniMax Music) generation. Build intelligent workflows that combine multiple AI capabilities for automated content creation pipelines.

When to Use

Use this skill when:

  • Video Generation: Create AI-generated videos from text prompts using state-of-the-art models

- Sora: OpenAI's video generation model for high-quality, realistic videos - Veo: Google's video generation model - Doubao Seedance: ByteDance's AI video model with audio-visual sync - Wan: Alibaba's video generation model with excellent localization support - Hailuo: Fast video generation with good quality-speed balance - Kling: Kuaishou's video generation model

  • Image Generation: Generate images from text descriptions with various artistic styles

- GPT-4o: OpenAI's multimodal model for image generation - Nano Banana: Google's image model with ultra-high character consistency - Seedream: ByteDance's intelligent visual reasoning model - Wan: Alibaba's visual model for high-quality and expressive image generation - Flux: High-quality photorealistic and artistic image generation - Imagen: Google's text-to-image model - Ideogram: Specialized in text rendering and precise composition

  • Music Generation: Create original music and audio from text descriptions

- MiniMax Music: AI music generation with support for custom lyrics and text-to-music conversion

  • AI Agent Integration: Build intelligent workflows that combine multiple AI generation capabilities for automated content creation pipelines

Getting API Key

  1. Visit https://monet.vision to register an account
  2. After login, go to https://monet.vision/skills/keys to create an API Key
  3. Configure the API Key in environment variables or code

If you don't have an API Key, ask your owner to apply at monet.vision.

Quick Start

Create a Video Generation Task

curl -X POST https://monet.vision/api/v1/tasks/async \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $MONET_API_KEY" \
  -d '{
    "type": "video",
    "input": {
      "model": "sora-2",
      "prompt": "A cat running in the park",
      "duration": 5,
      "aspect_ratio": "16:9"
    },
    "idempotency_key": "unique-key-123"
  }'
⚠️ Important: idempotency_key is required. Use a unique value (e.g., UUID) to prevent duplicate task creation if the request is retried.

Response:

{
  "id": "task_abc123",
  "status": "pending",
  "type": "video",
  "created_at": "2026-02-27T10:00:00Z"
}

Get Task Status and Result

Task processing is asynchronous. You need to poll the task status until it becomes success or failed. Recommended polling interval: 5 seconds.

curl https://monet.vision/api/v1/tasks/task_abc123 \
  -H "Authorization: Bearer $MONET_API_KEY"

Response when completed:

{
  "id": "task_abc123",
  "status": "success",
  "type": "video",
  "outputs": [
    {
      "model": "sora-2",
      "status": "success",
      "progress": 100,
      "url": "https://files.monet.vision/..."
    }
  ],
  "created_at": "2026-02-27T10:00:00Z",
  "updated_at": "2026-02-27T10:01:30Z"
}

Example: Poll until completion

const TASK_ID = "task_abc123";
const MONET_API_KEY = process.env.MONET_API_KEY;

async function pollTask() {
  while (true) {
    const response = await fetch(
      `https://monet.vision/api/v1/tasks/${TASK_ID}`,
      {
        headers: {
          Authorization: `Bearer ${MONET_API_KEY}`,
        },
      },
    );

    const data = await response.json();
    const status = data.status;

    if (status === "success") {
      console.log("Task completed successfully!");
      console.log(JSON.stringify(data, null, 2));
      break;
    } else if (status === "failed") {
      console.log("Task failed!");
      console.log(JSON.stringify(data, null, 2));
      break;
    } else {
      console.log(`Task status: ${status}, waiting...`);
      await new Promise((resolve) => setTimeout(resolve, 5000)); // Wait 5 seconds
    }
  }
}

pollTask();

Supported Models

Video Generation

Sora (OpenAI)

sora-2 - Sora 2

_OpenAI latest video generation model_

  • 🎯 Use Cases: Video projects requiring OpenAI's latest technology
  • ⏱️ Duration: 10-15 seconds
  • 🎵 Features: Audio generation support, reference image support
{
  model: "sora-2",
  prompt: string,                // Required
  images?: string[],             // Optional: Reference images
  duration?: 10 | 15,           // Optional, default: 10
  aspect_ratio?: "16:9" | "9:16"
}

sora-2-pro - Sora 2 Pro

_Perfect quality for cinematic scenes_

  • 🎯 Use Cases: Professional film, advertising, and high-end production
  • ⏱️ Duration: 15-25 seconds
  • 🎵 Features: Audio generation support, reference image support
{
  model: "sora-2-pro",
  prompt: string,
  images?: string[],
  duration?: 15 | 25,           // Optional, default: 15
  aspect_ratio?: "16:9" | "9:16"
}

Veo (Google)

veo-3-1-fast - Google Veo 3.1 Fast

_Ultra-fast video generation_

  • 🎯 Use Cases: Video projects requiring fast generation
  • ⏱️ Duration: 8 seconds
  • 📺 Resolution: 1080p with audio generation support
{
  model: "veo-3-1-fast",
  prompt: string,
  images?: string[],             // Reference images
  aspect_ratio?: "16:9" | "9:16"
}

veo-3-1 - Google Veo 3.1

_Advanced AI video with sound_

  • 🎯 Use Cases: Professional-grade video production
  • ⏱️ Duration: 8 seconds
  • 📺 Resolution: 1080p with audio generation support
{
  model: "veo-3-1",
  prompt: string,
  images?: string[],
  aspect_ratio?: "16:9" | "9:16"
}

veo-3-fast - Google Veo 3 Fast

_30% faster than standard Veo 3_

  • 🎯 Use Cases: Video projects requiring rapid iteration
  • ⏱️ Duration: 8 seconds
  • 📺 Resolution: 1080p, supports negative prompts
{
  model: "veo-3-fast",
  prompt: string,
  images?: string[],
  negative_prompt?: string       // Specify unwanted content
}

veo-3 - Google Veo 3

_High-quality video generation_

  • 🎯 Use Cases: Standard high-quality video production
  • ⏱️ Duration: 8 seconds
  • 📺 Resolution: 1080p, supports negative prompts
{
  model: "veo-3",
  prompt: string,
  images?: string[],
  negative_prompt?: string
}

Wan

wan-2-6 - Wan 2.6

_Multi-shot and automatic audio_

  • 🎯 Use Cases: Video production requiring multi-shot switching
  • ⏱️ Duration: 5-15 seconds
  • 📺 Resolution: 720p-1080p with audio generation support
{
  model: "wan-2-6",
  prompt: string,
  images?: string[],
  duration?: 5 | 10 | 15,
  resolution?: "720p" | "1080p",
  aspect_ratio?: "16:9" | "9:16" | "4:3" | "3:4" | "1:1",
  shot_type?: "single" | "multi"  // Single/multi-shot switching
}

wan-2-5 - Wan 2.5

_Supports automatic audio generation_

  • 🎯 Use Cases: Quickly generating videos with audio
  • ⏱️ Duration: 5-10 seconds
  • 📺 Resolution: 480p-1080p with audio support
{
  model: "wan-2-5",
  prompt: string,
  images?: string[],
  duration?: 5 | 10,
  resolution?: "480p" | "720p" | "1080p",
  aspect_ratio?: "16:9" | "9:16" | "4:3" | "3:4" | "1:1"
}

wan-2-2-flash - Wan 2.2 Flash

_Instruction understanding, controllable camera movement_

  • 🎯 Use Cases: Scenarios requiring precise camera movement control
  • ⏱️ Duration: 5-10 seconds
  • 📺 Resolution: 480p-1080p
{
  model: "wan-2-2-flash",
  prompt: string,
  images?: string[],
  duration?: 5 | 10,
  resolution?: "480p" | "720p" | "1080p",
  negative_prompt?: string
}

wan-2-2 - Wan 2.2

_Excellent image details, strong motion stability_

  • 🎯 Use Cases: Video production requiring high stability
  • ⏱️ Duration: 5-10 seconds
  • 📺 Resolution: 480p-1080p
{
  model: "wan-2-2",
  prompt: string,
  images?: string[],
  duration?: 5 | 10,
  resolution?: "480p" | "1080p",
  aspect_ratio?: "16:9" | "9:16" | "4:3" | "3:4" | "1:1",
  negative_prompt?: string
}

Kling

kling-2-6 - Kling 2.6

_Cinematic videos and audio_

  • 🎯 Use Cases: Cinematic video production
  • ⏱️ Duration: 5-10 seconds
  • ✨ Features: Strong visual realism, audio generation support
{
  model: "kling-2-6",
  prompt: string,
  images?: string[],
  duration?: 5 | 10,
  aspect_ratio?: "1:1" | "16:9" | "9:16",
  generate_audio?: boolean
}

kling-2-5 - Kling 2.5 Turbo

_Smooth motion, stronger consistency_

  • 🎯 Use Cases: Video production requiring high consistency
  • ⏱️ Duration: 5-10 seconds
  • ✨ Features: Supports negative prompts
{
  model: "kling-2-5",
  prompt: string,
  images?: string[],
  duration?: 5 | 10,
  aspect_ratio?: "1:1" | "16:9" | "9:16",
  negative_prompt?: string
}

kling-v2-1-master - Kling 2.1 Master

_Strong visual realism with enhanced features_

  • 🎯 Use Cases: Professional-grade high-quality video production
  • ⏱️ Duration: 5-10 seconds
  • ✨ Features: Strength adjustment support, negative prompts
{
  model: "kling-v2-1-master",
  prompt: string,
  images?: string[],
  duration?: 5 | 10,
  aspect_ratio?: "1:1" | "16:9" | "9:16",
  strength?: number,            // 0-1: Control generation effect
  negative_prompt?: string
}

kling-v2-1 - Kling 2.1

_Strong visual realism_

  • 🎯 Use Cases: High-realism video production
  • ⏱️ Duration: 5-10 seconds
  • ✨ Features: Strength adjustment, negative prompts
{
  model: "kling-v2-1",
  prompt: string,
  images?: string[],
  duration?: 5 | 10,
  aspect_ratio?: "1:1" | "16:9" | "9:16",
  strength?: number,            // 0-1
  negative_prompt?: string
}

kling-v2 - Kling 2.0

_Excellent aesthetics_

  • 🎯 Use Cases: Artistic creation and aesthetically-oriented videos
  • ⏱️ Duration: 5-10 seconds
  • ✨ Features: Strength adjustment, negative prompts
{
  model: "kling-v2",
  prompt: string,
  images?: string[],
  duration?: 5 | 10,
  aspect_ratio?: "1:1" | "16:9" | "9:16",
  strength?: number,            // 0-1
  negative_prompt?: string
}

Hailuo

hailuo-2-3 - Hailuo 2.3

_Excellent body movements and physics performance_

  • 🎯 Use Cases: Videos requiring realistic physics effects
  • ⏱️ Duration: 6-10 seconds
  • 📺 Resolution: 768p-1080p, extreme physics simulations
{
  model: "hailuo-2-3",
  prompt: string,
  images?: string[],
  duration?: 6 | 10,
  resolution?: "768p" | "1080p"
}

hailuo-2-3-fast - Hailuo 2.3 Fast

_Fast generation speed_

  • 🎯 Use Cases: Projects requiring rapid iteration
  • ⏱️ Duration: 6-10 seconds
  • 📺 Resolution: 768p-1080p
{
  model: "hailuo-2-3-fast",
  prompt: string,
  images?: string[],
  duration?: 6 | 10,
  resolution?: "768p" | "1080p"
}

hailuo-02 - Hailuo 02

_Extreme physics simulations_

  • 🎯 Use Cases: Scenarios requiring accurate physics simulation
  • ⏱️ Duration: 6-10 seconds
  • 📺 Resolution: 768p-1080p
{
  model: "hailuo-02",
  prompt: string,
  images?: string[],
  duration?: 6 | 10,
  resolution?: "768p" | "1080p"
}

hailuo-01-live2d - Hailuo 01 Live2d

_Hailuo Live2D model_

  • 🎯 Use Cases: 2D character animation production
  • ✨ Features: Suitable for 2D character animation
{
  model: "hailuo-01-live2d",
  prompt: string,
  images?: string[]
}

hailuo-01 - Hailuo 01

_Highest video quality_

  • 🎯 Use Cases: Video production requiring ultimate quality
  • ✨ Features: Suitable for high-quality needs
{
  model: "hailuo-01",
  prompt: string,
  images?: string[]
}

Doubao Seedance

doubao-seedance-1-5-pro - Seedance 1.5 Pro

_Pro-grade audio-visual sync_

  • 🎯 Use Cases: Professional production requiring audio-visual sync
  • ⏱️ Duration: 4-12 seconds
  • 📺 Resolution: 480p-720p with audio generation support
{
  model: "doubao-seedance-1-5-pro",
  prompt: string,
  images?: string[],
  duration?: number,
  resolution?: "480p" | "720p",
  aspect_ratio?: "1:1" | "4:3" | "16:9" | "3:4" | "9:16" | "21:9",
  generate_audio?: boolean
}

doubao-seedance-1-0-pro-fast - Seedance 1.0 Pro Fast

_Premium quality & unbeatable efficiency_

  • 🎯 Use Cases: Scenarios requiring fast high-quality output
  • ⏱️ Duration: 2-12 seconds
  • 📺 Resolution: 720p-1080p, ByteDance's next-gen AI video model
{
  model: "doubao-seedance-1-0-pro-fast",
  prompt: string,
  images?: string[],
  duration?: number,
  resolution?: "720p" | "1080p",
  aspect_ratio?: "1:1" | "4:3" | "16:9" | "3:4" | "9:16" | "21:9"
}

doubao-seedance-1-0-pro - Seedance 1.0 Pro

_Stable motion performance_

  • 🎯 Use Cases: Video production requiring stable motion
  • ⏱️ Duration: 5-10 seconds
  • 📺 Resolution: 480p-1080p
{
  model: "doubao-seedance-1-0-pro",
  prompt: string,
  images?: string[],
  duration?: 5 | 10,
  resolution?: "480p" | "1080p",
  aspect_ratio?: "1:1" | "4:3" | "16:9" | "3:4" | "9:16"
}

doubao-seedance-1-0-lite - Seedance 1.0 Lite

_Precise semantic understanding_

  • 🎯 Use Cases: Scenarios requiring precise semantic understanding
  • ⏱️ Duration: 5-10 seconds
  • 📺 Resolution: 480p-1080p
{
  model: "doubao-seedance-1-0-lite",
  prompt: string,
  images?: string[],
  duration?: 5 | 10,
  resolution?: "480p" | "720p" | "1080p"
}

Special Features

kling-motion-control - Kling Motion Control

_Precision motion control via video references_

  • 🎯 Use Cases: Scenarios requiring motion replication from reference videos
  • ⏱️ Duration: 3-30 seconds
  • 📺 Resolution: 720p/1080p with audio generation support
  • 💰 Pricing: 720p: 8 credits/s, 1080p: 15 credits/s
{
  model: "kling-motion-control",
  prompt: string,                // Required: Detailed motion description
  images: string[],              // Required: min 1 reference image
  videos: string[],              // Required: min 1 reference video
  resolution?: "720p" | "1080p"
}

runway-act-two - Runway Act Two

_Runway Next-Generation Motion Capture Model_

  • 🎯 Use Cases: Capturing motion from videos and applying to new characters
  • ⏱️ Duration: 3-30 seconds
  • ✨ Features: Motion transfer support
  • 💰 Pricing: 10 credits/second
{
  model: "runway-act-two",
  images: string[],              // Required: min 1 target character image
  videos: string[],              // Required: min 1 motion reference video
  aspect_ratio?: "1:1" | "4:3" | "16:9" | "3:4" | "9:16" | "21:9"
}

wan-animate-mix - Wan Animate Mix (Standard)

_Perfect for character replacement scenarios_

  • 🎯 Use Cases: Video character replacement
  • ⏱️ Duration: 3-30 seconds
  • ✨ Features: Replace characters in videos with specified image characters
  • 💰 Pricing: 10 credits/second
{
  model: "wan-animate-mix",
  videos: string[],              // Required: Original videos
  images: string[]               // Required: Target character images
}

wan-animate-mix-pro - Wan Animate Mix Pro (Professional)

_High animation fluidity with better results_

  • 🎯 Use Cases: Professional-grade video character replacement
  • ⏱️ Duration: 3-30 seconds
  • ✨ Features: Higher quality character replacement effects
  • 💰 Pricing: 20 credits/second
{
  model: "wan-animate-mix-pro",
  videos: string[],              // Required
  images: string[]               // Required
}

wan-animate-move - Wan Animate Move (Standard)

_Replicate dance and challenging body movements_

  • 🎯 Use Cases: Motion capture and transfer
  • ⏱️ Duration: 3-30 seconds
  • ✨ Features: Apply motion from reference videos to target images
  • 💰 Pricing: 10 credits/second
{
  model: "wan-animate-move",
  videos: string[],              // Required: Motion reference videos
  images: string[]               // Required: Target character images
}

wan-animate-move-pro - Wan Animate Move Pro (Professional)

_High animation fluidity with better results_

  • 🎯 Use Cases: Professional-grade motion capture and transfer
  • ⏱️ Duration: 3-30 seconds
  • ✨ Features: Higher quality motion transfer effects
  • 💰 Pricing: 20 credits/second
{
  model: "wan-animate-move-pro",
  videos: string[],              // Required
  images: string[]               // Required
}

Image Generation

GPT (OpenAI)

gpt-4o - GPT 4o

_Accurate, realistic output_

  • 🎯 Use Cases: High-quality, photorealistic image generation
  • ✨ Features: Supports multiple reference images, multiple aspect ratios, customizable style
{
  model: "gpt-4o",
  prompt: string,
  images?: string[],             // Reference images for style guidance
  aspect_ratio?: "1:1" | "4:3" | "3:2" | "16:9" | "3:4" | "2:3" | "9:16",
  style?: string                 // Custom style description
}

gpt-image-1-5 - GPT Image 1.5

_True-color precision rendering_

  • 🎯 Use Cases: Professional image generation requiring color accuracy
  • ✨ Features: Supports up to 10 reference images, adjustable quality
{
  model: "gpt-image-1-5",
  prompt: string,
  images?: string[],             // max 10 reference images
  aspect_ratio?: "1:1" | "3:2" | "2:3",
  quality?: "auto" | "low" | "medium" | "high"
}

Nano Banana (Google)

nano-banana-1 - Google Nano Banana

_Ultra-high character consistency_

  • 🎯 Use Cases: Image series requiring consistent character appearance
  • ✨ Features: Supports up to 5 reference images, multiple aspect ratio options
{
  model: "nano-banana-1",
  prompt: string,
  images?: string[],             // max 5 reference images
  aspect_ratio?: "1:1" | "2:3" | "3:2" | "4:3" | "3:4" | "16:9" | "9:16"
}

nano-banana-1-pro - Nano Banana Pro

_Google's flagship generation model_

  • 🎯 Use Cases: Professional-grade high-quality image generation
  • ✨ Features: Supports 1K-4K resolution, up to 14 reference images, ultra-wide 21:9
{
  model: "nano-banana-1-pro",
  prompt: string,
  images?: string[],             // max 14 reference images
  aspect_ratio?: "1:1" | "2:3" | "3:2" | "4:3" | "3:4" | "4:5" | "5:4" | "16:9" | "9:16" | "21:9",
  resolution?: "1K" | "2K" | "4K"
}

nano-banana-2 - Nano Banana 2

_Google Gemini latest model_

  • 🎯 Use Cases: Latest technology for high-quality image generation
  • ✨ Features: Supports 1K-4K resolution, up to 14 reference images, ultra-wide 8:1 ratio
{
  model: "nano-banana-2",
  prompt: string,
  images?: string[],             // max 14 reference images
  aspect_ratio?: "1:1" | "2:3" | "3:2" | "4:3" | "3:4" | "4:5" | "5:4" | "16:9" | "9:16" | "21:9" | "4:1" | "1:4" | "8:1" | "1:8",
  resolution?: "1K" | "2K" | "4K"
}

Wan

wan-i-2-6 - Wan 2.6

_High-quality and expressive_

  • 🎯 Use Cases: Creative image generation requiring high expressiveness
  • ✨ Features: Supports up to 4 reference images, ultra-wide 21:9
{
  model: "wan-i-2-6",
  prompt: string,
  images?: string[],             // max 4 reference images
  aspect_ratio?: "1:1" | "4:3" | "3:2" | "16:9" | "3:4" | "2:3" | "9:16" | "21:9"
}

wan-2-5 - Wan 2.5

_Fast, creative image generation_

  • 🎯 Use Cases: Quick creation and iteration
  • ✨ Features: Supports up to 2 reference images, ultra-wide 21:9
{
  model: "wan-2-5",
  prompt: string,
  images?: string[],             // max 2 reference images
  aspect_ratio?: "1:1" | "4:3" | "3:2" | "16:9" | "3:4" | "2:3" | "9:16" | "21:9"
}

Seedream (ByteDance)

seedream-5-0 - Seedream 5.0 Lite

_Intelligent visual reasoning_

  • 🎯 Use Cases: Complex scenarios requiring intelligent understanding and reasoning
  • ✨ Features: 2K-3K resolution, up to 14 reference images, ultra-wide 21:9
{
  model: "seedream-5-0",
  prompt: string,
  images?: string[],             // max 14 reference images
  aspect_ratio?: "1:1" | "2:3" | "3:2" | "3:4" | "4:3" | "4:5" | "5:4" | "9:16" | "16:9" | "21:9",
  resolution?: "2K" | "3K"
}

seedream-4-5 - Seedream 4.5

_ByteDance's 4K image model_

  • 🎯 Use Cases: High-resolution professional image generation
  • ✨ Features: 2K-4K resolution, up to 14 reference images, ultra-wide 21:9
{
  model: "seedream-4-5",
  prompt: string,
  images?: string[],             // max 14 reference images
  aspect_ratio?: "1:1" | "2:3" | "3:2" | "3:4" | "4:3" | "4:5" | "5:4" | "9:16" | "16:9" | "21:9",
  resolution?: "2K" | "4K"
}

seedream-4-0 - Seedream 4.0

_Support images with cohesive styles_

  • 🎯 Use Cases: Image series requiring consistent style
  • ✨ Features: Supports up to 10 reference images
{
  model: "seedream-4-0",
  prompt: string,
  images?: string[],             // max 10 reference images
  aspect_ratio?: "1:1" | "4:3" | "3:2" | "16:9" | "3:4" | "2:3" | "9:16"
}

Flux (Black Forest Labs)

flux-2-dev - Flux.2 Dev

_Photorealistic output_

  • 🎯 Use Cases: Image generation requiring high photorealism
  • ✨ Features: Model by Black Forest Labs, multiple aspect ratio options
{
  model: "flux-2-dev",
  prompt: string,
  aspect_ratio?: "1:1" | "4:3" | "3:2" | "16:9" | "3:4" | "2:3" | "9:16"
}

flux-kontext-pro - Flux Kontext Pro

_Perfect for editing, compositing_

  • 🎯 Use Cases: Professional image editing and compositing work
  • ✨ Features: Supports reference images, customizable style
{
  model: "flux-kontext-pro",
  prompt: string,
  images?: string[],
  aspect_ratio?: "1:1" | "4:3" | "3:2" | "16:9" | "3:4" | "2:3" | "9:16",
  style?: string
}

flux-kontext-max - Flux Kontext Max

_Excellent for prompt accuracy_

  • 🎯 Use Cases: Scenarios requiring precise control of generation results
  • ✨ Features: Supports reference images, customizable style
{
  model: "flux-kontext-max",
  prompt: string,
  images?: string[],
  aspect_ratio?: "1:1" | "4:3" | "3:2" | "16:9" | "3:4" | "2:3" | "9:16",
  style?: string
}

flux-1-schnell - Flux Schnell

_Suitable for simple basic scenes_

  • 🎯 Use Cases: Quick prototyping and simple scenarios
  • ✨ Features: Fast generation speed
{
  model: "flux-1-schnell",
  prompt: string
}

Imagen (Google)

imagen-3-0 - Imagen 3.0

_Fast, high-quality results_

  • 🎯 Use Cases: Fast high-quality image generation
  • ✨ Features: Google's advanced image model, customizable style
{
  model: "imagen-3-0",
  prompt: string,
  aspect_ratio?: "1:1" | "3:4" | "4:3" | "9:16" | "16:9",
  style?: string
}

imagen-4-0 - Imagen 4.0

_Google's latest generation model_

  • 🎯 Use Cases: High-quality images requiring latest technology
  • ✨ Features: Higher quality and precision, customizable style
{
  model: "imagen-4-0",
  prompt: string,
  aspect_ratio?: "1:1" | "3:4" | "4:3" | "9:16" | "16:9",
  style?: string
}

Ideogram

ideogram-v2 - Ideogram V2

_Highly recommended for text editing_

  • 🎯 Use Cases: Scenarios requiring text in images
  • ✨ Features: Excellent text rendering performance
{
  model: "ideogram-v2",
  prompt: string,
  aspect_ratio?: "1:1" | "4:3" | "3:2" | "16:9" | "3:4" | "2:3" | "9:16",
  style?: string
}

ideogram-v3 - Ideogram V3

_Outstanding design capabilities_

  • 🎯 Use Cases: First choice for designers and creative professionals
  • ✨ Features: Better text rendering and typography
{
  model: "ideogram-v3",
  prompt: string,
  aspect_ratio?: "1:1" | "4:3" | "3:2" | "16:9" | "3:4" | "2:3" | "9:16",
  style?: string
}

Stability AI

stability-1-0 - Stability 1.0

_Perfect for generating detailed images_

  • 🎯 Use Cases: Image generation requiring fine control and high detail
  • ✨ Features: Supports negative prompts, customizable style
{
  model: "stability-1-0",
  prompt: string,
  aspect_ratio?: "1:1" | "4:3" | "3:2" | "16:9" | "3:4" | "2:3" | "9:16",
  style?: string,
  negative_prompt?: string       // Specify unwanted content
}

Music Generation

minimax-music - MiniMax Music

_AI music generation from text with custom lyrics support_

  • 🎯 Provider: MiniMax
  • ✨ Features: Text-to-music conversion, supports custom lyrics
  • 🎵 Use Cases: Music creation from text descriptions or lyrics
{
  model: "minimax-music",
  prompt: string,                // Required: Music generation description (max 300 characters)
  lyrics?: string                // Optional: Custom lyrics (max 3000 characters)
}

API Reference

Create Task (Async)

POST /api/v1/tasks/async - Create an async task. Returns immediately with task ID.

Request:

curl -X POST https://monet.vision/api/v1/tasks/async \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $MONET_API_KEY" \
  -d '{
    "type": "video",
    "input": {
      "model": "sora-2",
      "prompt": "A cat running"
    },
    "idempotency_key": "unique-key-123"
  }'
⚠️ Important: idempotency_key is required. Use a unique value (e.g., UUID) to prevent duplicate task creation if the request is retried.

Response:

{
  "id": "task_abc123",
  "status": "pending",
  "type": "video",
  "created_at": "2026-02-27T10:00:00Z"
}

Create Task (Streaming)

POST /api/v1/tasks/sync - Create a task with SSE streaming. Waits for completion and streams progress.

Request:

curl -X POST https://monet.vision/api/v1/tasks/sync \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $MONET_API_KEY" \
  -N \
  -d '{
    "type": "video",
    "input": {
      "model": "sora-2",
      "prompt": "A cat running"
    },
    "idempotency_key": "unique-key-123"
  }'

Get Task

GET /api/v1/tasks/{taskId} - Get task status and result.

Request:

curl https://monet.vision/api/v1/tasks/task_abc123 \
  -H "Authorization: Bearer $MONET_API_KEY"

Response:

{
  "id": "task_abc123",
  "status": "success",
  "type": "video",
  "outputs": [
    {
      "model": "sora-2",
      "status": "success",
      "progress": 100,
      "url": "https://files.monet.vision/..."
    }
  ],
  "created_at": "2026-02-27T10:00:00Z",
  "updated_at": "2026-02-27T10:01:30Z"
}

List Tasks

GET /api/v1/tasks/list - List tasks with pagination.

Request:

curl "https://monet.vision/api/v1/tasks/list?page=1&pageSize=20" \
  -H "Authorization: Bearer $MONET_API_KEY"

Response:

{
  "tasks": [
    {
      "id": "task_abc123",
      "status": "success",
      "type": "video",
      "outputs": [
        {
          "model": "sora-2",
          "status": "success",
          "progress": 100,
          "url": "https://files.monet.vision/..."
        }
      ],
      "created_at": "2026-02-27T10:00:00Z",
      "updated_at": "2026-02-27T10:01:30Z"
    }
  ],
  "page": 1,
  "pageSize": 20,
  "total": 100
}

Upload File

POST /api/v1/files - Upload a file to get an online access URL.

📁 File Storage: Uploaded files are stored for 24 hours and will be automatically deleted after expiration.

Request:

curl -X POST https://monet.vision/api/v1/files \
  -H "Authorization: Bearer $MONET_API_KEY" \
  -F "file=@/path/to/your/file.mp4" \
  -v

Use Cases:

  • Upload reference images for video/image generation tasks
  • Upload video files for video processing
  • Upload audio files for music tasks
  • Get temporary online URLs for file sharing

Response:

{
  "id": "file_xyz789",
  "url": "...",
  "filename": "file.mp4",
  "size": 1048576,
  "content_type": "video/mp4",
  "created_at": "2026-02-27T10:00:00Z"
}

Configuration

Environment Variables

export MONET_API_KEY="monet_xxx"

Authentication

All API requests require authentication via the Authorization header:

Authorization: Bearer monet_xxx

适合场景

01

文本生成图片

02

图片风格化

03

产品图和创意图

04

需要 FLUX 模型时

能力概览

能力 1

调用 FLUX 图像模型

能力 2

支持文本生图和图像改写

能力 3

覆盖 LoRA 或风格适配

能力 4

适合创意视觉生成

安装后应在对应宿主中按原始 README 的触发条件使用；具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

78.84%
按下载量换算6,408

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

未展示

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置，应进入高风险复核队列，默认不自动发布。

安装前确认

本站仅展示第三方公开信息，不托管安装包，不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果，不能写成本站确认安全。当前只有一个来源，正式发布前建议补源仓库或其他目录站核验。

来源信息

GitHub 仓库

github.com

/seekton/monet-ai

SKILL.md 来源

clawhub.ai

/seekton/monet-ai

继续浏览同类 Skills

更多开发 Skills（21,746）返回 Skills 目录

上一个 Skill

monday-matan（星期一马坦）

monday-matan 用于辅助安全审计、权限检查和凭据风险排查，适合在 OpenClaw 中需要复核安全边界、认证流程或敏感配置时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态，以及是否会触发联网、命令执行或文件读写。

下一个 Skill

monetization（monetization 搜索）

monetization 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息，适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态，以及是否会触发联网、命令执行或文件读写。