Video API

Overview

The Video API allows you to generate videos using various AI models. You can create videos from text prompts, transform images into videos, or create variations of existing videos. The API handles the complexity of video generation and provides a simple interface for your applications.

Endpoints

{
  "result": {
    "total": 42,
    "medias": [
      {
        "id": "abc123",
        "url": "https://cdn.example.com/user/abc123/main.mp4",
        "mime": "video/mp4",
        "user": "user123",
        "media": "video",
        "model": "runway/gen-2",
        "provider": "runway",
        "prompt": "A camera flying through a dense forest with sunlight streaming through the trees",
        "size": "1080p",
        "duration": 6,
        "createdAt": "2025-03-25T12:00:00Z",
        "modelSlug": "runway/gen-2:1.0",
        "providerName": "Runway"
      },
      // More video items...
    ]
  },
  "success": true
}

{
  "data": [
    {
      "id": "abc123",
      "url": "https://cdn.example.com/user/abc123/main.mp4",
      "mime": "video/mp4",
      "user": "user123",
      "media": "video",
      "model": "runway/gen-2",
      "provider": "runway",
      "prompt": "A camera flying through a dense forest with sunlight streaming through the trees",
      "size": "1080p",
      "duration": 6,
      "createdAt": "2025-03-25T12:00:00Z"
    }
  ],
  "price": 0.05,
  "success": true,
  "stats": {
    "setupTime": 120,
    "processingTime": 350,
    "generationTime": 15000,
    "retries": 0,
    "providerId": "runway"
  }
}

Examples

import { fetch } from 'cross-fetch';

async function generateVideo() {
  const response = await fetch('https://api.mythiq.ai/v1/videos/generations', {
    method: 'POST',
    headers: {
      'Content-Type': 'application/json',
      'Authorization': 'Bearer YOUR_API_KEY',
    },
    body: JSON.stringify({
      model: 'runway/gen-2',
      prompt: 'A camera flying through a dense forest with sunlight streaming through the trees',
      size: '1080p',
      duration: 6,
    }),
  });
  
  const data = await response.json();
  console.log(data);
}

import { fetch } from 'cross-fetch';

async function generateVideoFromImage() {
  const response = await fetch('https://api.mythiq.ai/v1/videos/generations', {
    method: 'POST',
    headers: {
      'Content-Type': 'application/json',
      'Authorization': 'Bearer YOUR_API_KEY',
    },
    body: JSON.stringify({
      model: 'runway/gen-2',
      prompt: 'Camera slowly zooming out to reveal the entire landscape',
      image_url: 'https://example.com/your-image.jpg',
      size: '1080p',
      duration: 4,
    }),
  });
  
  const data = await response.json();
  console.log(data);
}

import { fetch } from 'cross-fetch';

async function listVideos() {
  const response = await fetch('https://api.mythiq.ai/v1/media?media=video&user=me&limit=10', {
    headers: {
      'Authorization': 'Bearer YOUR_API_KEY',
    }
  });
  
  const data = await response.json();
  console.log(data.result.medias);
  console.log(`Total: ${data.result.total}`);
}

Supported Video Models

MythIQ supports various video generation models, each with different capabilities and characteristics. Here are some of the popular models available:

For a complete and up-to-date list of available video models, please refer to the Models page.

Video Processing

When you generate a video through the API, it goes through several processing steps:

1. Generation: The AI model creates the video based on your prompt and parameters. This can take anywhere from a few seconds to several minutes depending on the model and complexity.
2. Transcoding: The generated video is transcoded into multiple formats for optimal playback across different devices and browsers.
3. Thumbnail Creation: Thumbnails are automatically generated for the video to use in listings and previews.
4. Storage: The video and its variants are stored in the MythIQ storage system and made available through the CDN.

The API response includes the URL of the processed video, which you can use to display or download the video in your application.