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Lesson 3 of 5
Image-to-Video & Animation Workflows
From the course AI Video Generation: From Text to Motion
Image-to-video (I2V) is one of the most practical AI video capabilities. Start with a still image — a photograph, illustration, or AI-generated image — and bring it to life with motion.
Why Image-to-Video?
- More control — You start with a known visual, so the output matches your vision
- Consistency — The starting frame anchors the style, colors, and composition
- Workflow integration — Create the perfect still in Midjourney, then animate it
- Lower cost — I2V is typically faster and cheaper than text-to-video
Best Practices for Source Images
- High resolution — Start with at least 1080p for best results
- Clear composition — Simple, well-composed images animate better than cluttered scenes
- Implied motion — Images that suggest movement (a runner mid-stride, waves mid-crash) give the model a clear direction
- Consistent lighting — Flat, even lighting is easier to animate than complex shadow patterns
Writing I2V Prompts
Your prompt should describe the motion, not the image (the model can see the image):
❌ "A beautiful mountain landscape with snow and trees" (just describes the image) ✅ "Gentle snowfall, pine trees swaying in the wind, clouds drifting slowly across the sky" (describes motion)
Platform-Specific Tips
Runway Gen-4:
- Use motion brushes to specify which parts of the image should move
- Camera controls let you define precise pan, tilt, zoom, and rotation
- Supports up to 10-second clips from a single image
Sora 2:
- Upload image as a starting frame
- Describe the desired motion in natural language
- Supports extending video from both first and last frames
Pika:
- Simple drag interface for indicating motion direction
- Good for quick social media animations
- Supports adding sound effects to the generated video
The Midjourney → Video Pipeline
A popular professional workflow:
- Generate a stunning still in Midjourney with your desired style
- Upscale to maximum resolution
- Feed into Runway or Sora as a starting frame
- Add motion with a focused prompt
- Use video editing software for final polish (color grading, sound, cuts)
Key Takeaways
- •Image-to-video gives more control and consistency than text-to-video
- •Source images should be high-res, well-composed, and suggest motion
- •I2V prompts describe motion, not the image itself
- •Each platform has unique controls: motion brushes, camera controls, drag interfaces
- •The Midjourney → video pipeline is a popular professional workflow
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