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Gen AI lessons (20/39)

Gen AI — Video Generation

What is AI video generation?

Creating video content using AI models.

Popular tools

ToolTypeAccess
SoraText to videoOpenAI
RunwayText/Image to videoAPI available
PikaText to videoWeb app
Stable VideoOpen sourceSelf-hosted

Runway API

import runwayml

client = runwayml.RunwayML(api_key="your-key")

# Generate video from text
task = client.text_to_video.create(
    prompt="A cat walking through a garden, cinematic lighting",
    duration=4
)

# Poll for completion
while task.status != "SUCCEEDED":
    task = client.tasks.retrieve(task.id)
    time.sleep(10)

video_url = task.output[0]

Image to video

task = client.image_to_video.create(
    prompt="Make the person wave their hand",
    image=open("photo.jpg", "rb"),
    duration=4
)

Use cases

  • Marketing content
  • Product demos
  • Educational videos
  • Social media content

Ethical considerations

  1. Deepfakes: AI-generated deceptive content
  2. Copyright: Training data concerns
  3. Misinformation: False content creation
  4. Consent: Using likenesses without permission

Mini Practice

  1. Explore Runway or Pika
  2. Generate a short video from text
  3. Test image-to-video
  4. Consider ethical implications

Up Next

Continue with Evaluation - Measuring AI performance.

Related Topics

Frequently Asked Questions about Video Generation

What is Video Generation in Gen AI?

Video Generation is a fundamental concept in Gen AI. This lesson explains it step by step with clear examples, making it easy for beginners to understand.

How do I learn Video Generation?

Start by reading the explanation above, then try the code examples. Practice by modifying the examples and experimenting with different values. Hands-on practice is the best way to learn Video Generation.

Why is Video Generation important in Gen AI?

Video Generation is essential for Gen AI development. Understanding this concept will help you write better code and solve real-world problems more effectively.