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TutorialsVideoText-to-Video Fundamentals
IntermediateUpdated Dec 17, 2025

Text-to-Video Fundamentals

Create dynamic videos from text prompts using state-of-the-art AI models like MiniMax, Kling, and Hunyuan.

AR
Alex Rivera
Senior Engineer
10 min read

Introduction to AI Video Generation

AI video generation has made incredible strides. You can now create short videos from simple text descriptions. This tutorial covers the fundamentals.

Available Models

ModelDurationQualitySpeed
MiniMax Video-015-10sHigh~60s
Kling AI5sVery High~90s
Hunyuan Video5sHigh~45s
LTX Video3sGood~30s

Basic Video Generation

python
from abstrakt import AbstraktClient

client = AbstraktClient()

result = client.run("fal-ai/minimax/video-01", {
    "input": {
        "prompt": "A majestic eagle soaring through mountain peaks at golden hour, cinematic, smooth motion",
        "aspect_ratio": "16:9"
    }
})

print(f"Video URL: {result.video.url}")

Crafting Video Prompts

Video prompts should describe:

  1. Subject - What's in the video
  2. Action - What's happening
  3. Camera movement - How we view it
  4. Style - Visual aesthetic

Example Prompts

Nature Scene:

text
Ocean waves crashing on rocky shores at sunset, 
slow motion, golden light, cinematic, drone shot

Action Scene:

text
A sports car drifting around a mountain curve, 
smoke from tires, tracking shot, high speed, dramatic

Abstract:

text
Colorful ink drops falling into water, 
macro photography, slow motion, mesmerizing patterns

Camera Motion Keywords

  • static shot - No camera movement
  • pan left/right - Horizontal movement
  • tilt up/down - Vertical movement
  • zoom in/out - Focal length change
  • tracking shot - Following the subject
  • drone shot - Aerial perspective
  • dolly forward - Moving toward subject
  • orbit - Circle around subject

Controlling Duration

python
result = client.run("fal-ai/minimax/video-01", {
    "input": {
        "prompt": "A butterfly landing on a flower",
        "duration": 5  # seconds
    }
})

Aspect Ratios

python
# Widescreen (YouTube, cinematic)
{"aspect_ratio": "16:9"}

# Vertical (TikTok, Instagram Reels)
{"aspect_ratio": "9:16"}

# Square (Instagram)
{"aspect_ratio": "1:1"}

# Standard (traditional video)
{"aspect_ratio": "4:3"}

Handling Long Generation Times

Video generation takes longer than images. Use async patterns:

python
# Submit and get job ID
job = client.submit("fal-ai/minimax/video-01", {
    "input": {"prompt": "Your prompt here"},
    "webhook_url": "https://your-server.com/webhook"
})

print(f"Job submitted: {job.request_id}")
# Video will be sent to your webhook when ready

Quality Tips

  1. Be specific - Detailed prompts give better results
  2. Keep it simple - One clear action works best
  3. Describe motion - Tell the AI how things move
  4. Use style keywords - "cinematic", "smooth", "dramatic"
  5. Test models - Different models excel at different content

Next Steps

  • Learn latency optimization
  • Explore frame interpolation
  • Try audio generation
#video#text-to-video#minimax#kling
PreviousBatch Image ProcessingNextOptimizing Latency for Real-time Video
On This Page
  • Introduction to AI Video Generation
  • Available Models
  • Basic Video Generation
  • Crafting Video Prompts
  • Example Prompts
  • Camera Motion Keywords
  • Controlling Duration
  • Aspect Ratios
  • Handling Long Generation Times
  • Quality Tips
  • Next Steps
Related Guides
Optimizing Latency for Real-time Video

Reduce video generation latency for real-time applications.

Frame Interpolation Deep Dive

Transform jerky footage into butter-smooth video.

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