Image to Video (I2V) Generation

The Image to Video tool is a powerful asset for marketers and animators. It bypasses the randomness of text-to-video by allowing you to define the exact starting frame (composition, color, character) of your video.

Core Technology

Unlike text-to-video which builds pixels from noise, I2V uses your uploaded image as the Frame 0 anchor. The AI then predicts the subsequent frames based on motion vectors implied by the image content and your text instructions.

Supported Models

• Veo I2V: Best for preserving the fidelity of the original image (high structure retention).
• Sora I2V: Excellent for dramatic transformations and large camera moves.
• Wan Pro I2V: Optimized for character animation.

Usage Guide

1. Source Asset Criteria

For optimal results, your input image should meet these standards:

• Resolution: Minimum 1024px on the shortest side.
• Aspect Ratio: Match the output aspect ratio (e.g., upload a 16:9 image for a 16:9 video).
• Quality: Free of jpeg artifacts, blur, or noise.

2. Prompting for Motion

You can control what moves in the image using the text prompt.

• Camera Motion: "Zoom in slowly", "Pan right", "Drone flyover".
• Subject Motion: "The girl smiles", "The car drives away", "Clouds moving fast".
• Atmospheric: "Rain falling", "Fire flickering", "Neon lights pulsing".

Example Workflow:

1. Upload a static photo of a coffee cup with steam.
2. Prompt: "Steam rising gently from the cup, cinematic lighting, distinct particles."
3. Set Motion Strength (if available) to 5.
4. Generate.

3. Motion Bucket / Strength

Some models accept a "Motion Bucket" ID or Strength parameter.

• Low (1-3): Subtle movement, minimal distortion. Good for "Living Photos".
• Medium (4-6): Standard action.
• High (7-10): Aggressive movement. Higher risk of warping the original image features.

Commercial Applications

• E-Commerce: Turn static product shots into rotating 3D-like videos.
• Social Media: Animate blog header images for Instagram Reels.
• Real Estate: Create "fly-through" videos from exterior photos of properties.

Limitations

• Face ID: While character consistency in I2V is better than T2V, the face may slightly deform during extreme expressions.
• Text: Small text in the background image may become gibberish as it moves.