# Grok Imagine Video

> xAI's video generation model based on the Aurora architecture, supporting text-to-video, image-to-video, and video editing with native audio-visual synthesis at up to 720p

## Quick Reference

- Model ID: grok-imagine-video
- Creator: xAI
- Status: active
- Family: grok-imagine
- Base URL: https://api.lumenfall.ai/v1

## Specifications

- Max Video Duration: 15 seconds
- Input Modalities: text, image, video
- Output Modalities: video, audio

## Model Identifiers

- Primary Slug: grok-imagine-video
- Aliases: grok-video

## Dates

- Released: February 2026

## Tags

video-generation, text-to-video, image-to-video, video-editing, audio-generation

## Available Providers

### Replicate

- Config Key: replicate/grok-imagine-video
- Provider Model ID: xai/grok-imagine-video
- Pricing:
  - source: community
  - currency: USD
  - components: [{"type" => "output", "metric" => "second", "unit_price" => 0.05}]
  - source_url: https://replicate.com/xai/grok-imagine-video
  - effective_at: 2026-02-26


## Image Gallery

2 images available for this model.
- Curated examples: 2
  - "Cinematic wide shot of a futuristic neon-lit greenhouse at dusk. In the center, a holographic display floats above a ..."
  - "Cinematic wide shot of a futuristic neon-lit greenhouse at dusk. In the center, a holographic display floats above a ..."

## Example Prompt

The following prompt was used to generate an example video in our playground:

Cinematic wide shot of a futuristic neon-lit greenhouse at dusk. In the center, a holographic display floats above a high-tech gardening table, shifting between vibrant 3D floral patterns. Soft amber light glows from the plants. To the far left, a capybara calmly rests on a mossy stone bench, blending into the lush foliage as a side character. Smooth camera glide forward, shimmering bokeh effects, 4k, hyper-realistic, "Grok Imagine" subtly etched on a glass planter.

## Code Examples

### Text to Video (Async Generation)

The video API is asynchronous: submit a generation request, then poll for the result.

#### cURL

# Step 1: Submit video generation request
VIDEO_ID=$(curl -s -X POST \
  https://api.lumenfall.ai/v1/videos \
  -H "Authorization: Bearer $LUMENFALL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "grok-imagine-video",
    "prompt": "A serene mountain landscape at sunset",
    "size": "1024x1024"
  }' | jq -r '.id')

echo "Video ID: $VIDEO_ID"

# Step 2: Poll for completion
while true; do
  RESULT=$(curl -s \
    https://api.lumenfall.ai/v1/videos/$VIDEO_ID \
    -H "Authorization: Bearer $LUMENFALL_API_KEY")

  STATUS=$(echo $RESULT | jq -r '.status')
  echo "Status: $STATUS"

  if [ "$STATUS" = "completed" ]; then
    echo $RESULT | jq -r '.output.url'
    break
  elif [ "$STATUS" = "failed" ]; then
    echo $RESULT | jq -r '.error.message'
    break
  fi

  sleep 5
done

#### JavaScript

const BASE_URL = 'https://api.lumenfall.ai/v1';
const API_KEY = 'YOUR_API_KEY';

// Step 1: Submit video generation request
const submitRes = await fetch(`${BASE_URL}/videos`, {
  method: 'POST',
  headers: {
    'Authorization': `Bearer ${API_KEY}`,
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    model: 'grok-imagine-video',
    prompt: 'A serene mountain landscape at sunset',
    size: '1024x1024'
  })
});

const { id: videoId } = await submitRes.json();
console.log('Video ID:', videoId);

// Step 2: Poll for completion
while (true) {
  const pollRes = await fetch(`${BASE_URL}/videos/${videoId}`, {
    headers: { 'Authorization': `Bearer ${API_KEY}` }
  });
  const result = await pollRes.json();

  if (result.status === 'completed') {
    console.log('Video URL:', result.output.url);
    break;
  } else if (result.status === 'failed') {
    console.error('Error:', result.error.message);
    break;
  }

  await new Promise(r => setTimeout(r, 5000));
}

#### Python

import requests
import time

BASE_URL = "https://api.lumenfall.ai/v1"
API_KEY = "YOUR_API_KEY"
HEADERS = {
    "Authorization": f"Bearer {API_KEY}",
    "Content-Type": "application/json"
}

# Step 1: Submit video generation request
response = requests.post(
    f"{BASE_URL}/videos",
    headers=HEADERS,
    json={
        "model": "grok-imagine-video",
        "prompt": "A serene mountain landscape at sunset",
        "size": "1024x1024"
    }
)

video_id = response.json()["id"]
print(f"Video ID: {video_id}")

# Step 2: Poll for completion
while True:
    result = requests.get(
        f"{BASE_URL}/videos/{video_id}",
        headers=HEADERS
    ).json()

    if result["status"] == "completed":
        print(f"Video URL: {result['output']['url']}")
        break
    elif result["status"] == "failed":
        print(f"Error: {result['error']['message']}")
        break

    time.sleep(5)


## Frequently Asked Questions

### How do I use Grok Imagine Video via API?

You can use Grok Imagine Video through Lumenfall's OpenAI-compatible API. Send requests to the unified endpoint with model ID "grok-imagine-video". Code examples are available in Python, JavaScript, and cURL.

### Which providers offer Grok Imagine Video?

Grok Imagine Video is available through Replicate on Lumenfall. Lumenfall automatically routes requests to the best available provider.

## Links

- Model Page: https://lumenfall.ai/models/xai/grok-imagine-video
- About: https://lumenfall.ai/models/xai/grok-imagine-video/about
- Providers, Pricing & Performance: https://lumenfall.ai/models/xai/grok-imagine-video/providers
- API Reference: https://lumenfall.ai/models/xai/grok-imagine-video/api
- Benchmarks: https://lumenfall.ai/models/xai/grok-imagine-video/benchmarks
- Use Cases: https://lumenfall.ai/models/xai/grok-imagine-video/use-cases
- Gallery: https://lumenfall.ai/models/xai/grok-imagine-video/gallery
- Playground: https://lumenfall.ai/playground?model=grok-imagine-video
- API Documentation: https://docs.lumenfall.ai