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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:

    1. Generate a stunning still in Midjourney with your desired style
    2. Upscale to maximum resolution
    3. Feed into Runway or Sora as a starting frame
    4. Add motion with a focused prompt
    5. 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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