How to Use Motion Control in AIVideoControl

Motion Control turns a still image into a video by combining three inputs: a source image, a motion reference, and a prompt. The source image defines what should appear. The motion reference shows how the camera or subject should move. The prompt tells the model how to interpret the scene.

This guide walks through the full workflow so your first generation has a clear direction instead of relying on random motion.

When To Use Motion Control

Use Motion Control when you want the final video to preserve a specific subject while following a reference movement.

Good use cases:

• product reveal videos
• portrait or character animation
• social media hooks
• ecommerce product shots
• concept art previews
• before-and-after creative tests
• short ad variations

If you need to control the first and last frame exactly, use Frame-to-Frame. If you want a broad visual experiment from one image, use Image to Video.

Step 1: Choose A Strong Source Image

Your source image is the foundation. A weak source image usually creates a weak video.

Use an image with:

• one clear main subject
• enough resolution for the subject to stay sharp
• simple lighting
• minimal background clutter
• no important text that must remain perfectly readable
• enough space around the subject for camera movement

For product clips, use a clean product photo. For character clips, use a clear portrait or full-body image. For marketing visuals, choose an image that already communicates the campaign idea before motion is added.

Step 2: Pick A Motion Reference

The motion reference tells the model what kind of movement to follow. It does not need to match the exact subject, but it should match the motion style.

Useful reference types:

• slow push-in for premium product reveals
• orbit shot for hero objects
• handheld motion for creator-style clips
• pan across a scene for storytelling
• vertical movement for fashion or character clips
• zoom-out reveal for before-and-after concepts

Keep the motion reference short and focused. A clean 3 to 8 second reference is often easier to follow than a long clip with multiple movements.

Step 3: Write A Shot-Level Prompt

The prompt should describe the shot, not just the mood.

Include:

• the subject
• the camera movement
• the environment
• lighting
• visual style
• action
• constraints

Example:

A cinematic close-up of a silver smartwatch on a dark desk, slow push-in camera movement, soft studio lighting, shallow depth of field, premium technology ad, clean background, no text overlays, no hands.

This kind of prompt gives the model concrete instructions while leaving enough room for natural motion.

Step 4: Choose Orientation Behavior

Motion Control includes a character orientation choice:

• image: preserve the subject from the source image more strongly
• video: follow the motion reference more aggressively

Start with image when identity, product shape, or character consistency matters. Try video when the motion reference is more important than strict subject preservation.

Step 5: Generate And Review

After submission, AIVideoControl creates a generation task and polls until the result is ready. Review the output against five checks:

• subject consistency: does the object or character remain recognizable?
• motion accuracy: does the output follow the reference movement?
• composition: does the subject stay in frame?
• artifacts: are there warped hands, text, logos, or edges?
• marketing usefulness: can this clip be used as-is or does it need another pass?

If a generation fails for a signed-in user, credits are automatically refunded when the provider returns a failed status.

Step 6: Iterate One Variable At A Time

Do not change everything between attempts. Pick one variable:

• source image
• motion reference
• prompt wording
• orientation behavior
• style constraints

This makes it easier to learn what improved the result.

Common fixes:

• If the subject changes too much, simplify the motion reference and use image orientation.
• If motion is too weak, use a clearer reference and describe the camera movement in the prompt.
• If the scene becomes messy, remove extra objects from the prompt and source image.
• If the output looks generic, add specific lighting, lens, and production context.

A Simple First Workflow

Use this starter workflow:

1. Choose one product or character image.
2. Pick one clean motion reference with a single movement.
3. Write one short shot-level prompt.
4. Generate the first result.
5. Save what worked.
6. Change only one input and generate again.

Two or three focused generations usually teach you more than ten random tests.

Example Prompt Templates

Product reveal:

Premium product video of a product on a clean studio surface, slow push-in camera movement, soft rim light, shallow depth of field, commercial photography style, no text, no hands.

Character motion:

A detailed portrait of a character with subtle head movement, cinematic lighting, clean background, realistic facial details, smooth camera drift, no distortion.

Social ad:

Fast social media product shot, energetic camera movement, bright lighting, creator-style composition, clean background, high contrast, no captions inside the video.

What To Do After The First Result

Once you have a usable clip, turn it into campaign assets:

• crop it for Shorts, Reels, or TikTok
• add captions in your editor
• use the best frame as a thumbnail
• build a before-and-after comparison
• write a short blog or product page section around the result

Motion Control is most useful when it becomes part of a repeatable production workflow, not just a single generation.

Next Step

Open Motion Control, upload one source image, choose one motion reference, and generate a short test. If you need exact start and end compositions, try the Frame-to-Frame workflow next.