Gen AI — Video Generation
What is AI video generation?
Creating video content using AI models.
Popular tools
| Tool | Type | Access |
|---|---|---|
| Sora | Text to video | OpenAI |
| Runway | Text/Image to video | API available |
| Pika | Text to video | Web app |
| Stable Video | Open source | Self-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
- Deepfakes: AI-generated deceptive content
- Copyright: Training data concerns
- Misinformation: False content creation
- Consent: Using likenesses without permission
Mini Practice
- Explore Runway or Pika
- Generate a short video from text
- Test image-to-video
- 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.