Video Generation with AI
Video Generation Landscape
| Model | Type | Availability |
|-------|------|--------------|
| Sora (OpenAI) | Text-to-video | Limited access |
| Runway Gen-3 | Text/image to video | Commercial |
| Pika | Text-to-video | Commercial |
| Stable Video Diffusion | Image-to-video | Open source |
| AnimateDiff | Animation from image | Open source |
Text-to-Video
``python`
# Conceptual API usage
video = video_model.generate(
prompt="A cinematic drone shot flying over mountains at sunset",
duration=5, # seconds
fps=24,
resolution="1080p"
)
Image-to-Video
Animate a static image:
`python
from diffusers import StableVideoDiffusionPipeline
pipe = StableVideoDiffusionPipeline.from_pretrained(
"stabilityai/stable-video-diffusion-img2vid"
)
# Generate video frames from image
frames = pipe(
image=input_image,
num_frames=25,
fps=6
).frames[0]
`
Video Understanding
LLMs with video understanding:
`python`
# Gemini or GPT-4o with video
response = llm.generate(
prompt="Describe what happens in this video",
video="path/to/video.mp4"
)
Frame Interpolation
Increase video smoothness:
`python``
# RIFE, FILM for frame interpolation
interpolated = interpolate(
frames,
target_fps=60, # From 24 to 60
model="rife"
)
Key Capabilities
| Capability | Description |
|------------|-------------|
| Text-to-video | Generate from description |
| Image-to-video | Animate still images |
| Video-to-video | Style transfer, editing |
| Frame interpolation | Smooth motion |
| Upscaling | Increase resolution |
Challenges
| Challenge | Current State |
|-----------|---------------|
| Temporal consistency | Improving, still imperfect |
| Physics accuracy | Limited |
| Long-form content | Minutes, not hours |
| Fine control | Limited directorial control |
| Compute cost | Very high |
Use Cases
- Marketing and ads
- Concept visualization
- Animation prototyping
- Social media content
- Educational content
Best Practices
- Use detailed prompts with motion descriptions
- Start from high-quality images for img2vid
- Plan for post-processing
- Consider frame-by-frame for precise control