AI Video Generation Guide Through LTX

1. Go to Google Colab.
2. Click on “New Notebook” to create a new Colab notebook.
3. Rename the notebook to something meaningful, like AI_Video_Generation_with_LTX.

In the first cell of your Colab notebook, install the necessary libraries. Run the following code:

!pip install requests
!pip install opencv-python
!pip install moviepy

• requests: For making API calls to LTX Studio.
• opencv-python: For video processing.
• moviepy: For video editing and rendering.

In the next cell, import the required libraries:

import requests
import cv2
import moviepy.editor as mp
import os

1. Define your LTX Studio API key and endpoint. Replace YOUR_API_KEY with your actual API key.

API_KEY = "YOUR_API_KEY"
API_URL = "https://api.ltxstudio.com/v1/generate"  # Replace with the actual LTX Studio API endpoint

2. Create a function to send a request to the LTX Studio API:

def generate_video(prompt, duration=10, resolution="1080p"):
    headers = {
        "Authorization": f"Bearer {API_KEY}",
        "Content-Type": "application/json"
    }
    data = {
        "prompt": prompt,
        "duration": duration,
        "resolution": resolution
    }
    response = requests.post(API_URL, headers=headers, json=data)
    if response.status_code == 200:
        return response.json()
    else:
        print(f"Error: {response.status_code}, {response.text}")
        return None

1. Define a text prompt for your video. For example:

prompt = "A futuristic cityscape at night with flying cars and neon lights."

2. Call the generate_video function to create the video:

video_data = generate_video(prompt, duration=15, resolution="1080p")
if video_data:
    video_url = video_data.get("video_url")
    print