How to Use Nano Banana and Wan2.2 to Create Consistent AI Character Videos (Image-to-Video Tutorial)

How to Use Nano Banana and Wan2.2 to Create Consistent AI Character Videos

Image-to-Video Tutorial Based on Real-World Workflow

Creating AI-generated videos often leads to frustrating inconsistencies: characters shift faces, styles change between frames, and the results feel disjointed. But what if you could generate a consistent character across multiple cinematic video scenes—all without touching a camera?

In this guide, I’ll walk you through how I used Nano Banana + Wan2.2 (Image-to-Video mode) to create an end-to-end AI character video with stunning visual continuity. This is a hands-on tutorial based on my own production workflow.

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🧠 Overview of the Stack

Nano Banana: An experimental Google tool for generating high-quality AI images, especially characters with pose variations.
Wan2.2: A state-of-the-art text/image-to-video model that can generate short cinematic videos from a single image and prompt.

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🔧 Tools You’ll Need

• Nano Banana (via Pollo AI for premium features, or Google's version)
• Wan2.2 I2V model (free web tool) or Pollo AI (premium features)
• Video editor (CapCut, Premiere, or DaVinci Resolve)
• Optional: ChatGPT (for co-writing prompts or storyboards)

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📽️ Step-by-Step Workflow

1. Discuss & Lock the Concept

Before generating any visuals, I asked ChatGPT to help me decide on a theme and scenario. For example:

“A mysterious girl in a cyberpunk alley, walking toward the camera, then looking back.”

Once the idea was clear, I had ChatGPT help me write a storyboard with 3–5 shots, each with unique camera angles and emotional beats.

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2. Generate the First Image with Nano Banana

I used Nano Banana on Pollo AI to create the hero character image for Shot #1.

• Prompt:
  Portrait of a young woman with neon blue hair, wearing a trench coat, cinematic lighting

• Once I got a strong result, I saved that image as my base reference.

💡 Pro tip: Pollo AI offers advanced features for Nano Banana including batch generation and higher quality outputs compared to the free Google version.

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3. Generate Follow-up Frames with Visual Consistency

Now the key trick: instead of starting from scratch for each new shot, I continued using Nano Banana but re-used the first image as reference in my prompt.

For example:

“Same woman, now seen from behind walking into the alley, neon signs glowing”

Repeat this process for all storyboard shots. Try to keep style prompts consistent: lighting, mood, outfit, facial features, etc.

💡 Result: A set of 4–6 highly consistent AI-generated frames that feel like they belong to the same film.

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4. Feed Images into Wan2.2 (Image-to-Video)

Now it’s time to animate.

For each image, I used Wan2.2 I2V (Image-to-Video). You have several options:

• Free option: Wan2.2 Free Generator - perfect for getting started

• Premium option: Pollo AI - offers faster processing and additional features

• Advanced users: Local inference if you have a 24GB+ VRAM GPU

• Inputs:

  • Image: the Nano Banana output
  • Prompt: movement or cinematic direction like
    "slow dolly-in, cinematic lighting, 35mm film look"
  • Size: 720p or 480p

• Output: A short video clip (2–4s) for each shot

Repeat this step for each storyboard image.

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5. Edit & Stitch the Clips

Using a video editor, I combined the generated clips in order:

1. Opening shot – character facing camera
2. Cut to side profile walking
3. Dramatic turn back
4. Close-up final shot

Add background music or sound effects if desired. The result? A cinematic AI video starring a consistent character throughout the story.

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For a closer look at how it stacks up against other models, see Kling 2.6 Motion Control vs Wan 2.2 Animate.

✨ What Makes This Pipeline Powerful

• Unmatched character consistency between frames
• High-quality camera motion & depth via Wan2.2
• Full control of art direction, from visual style to facial emotion
• No need for motion capture, 3D modeling, or real actors

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If you want to test it without installing anything, the Wan 2.2 Animate tool works in the browser.

🧠 Tips for Better Results

Stage	Tip
Prompting	Keep character description fixed across all Nano Banana prompts
Image selection	Use the most expressive face or cinematic angle as your anchor
Wan2.2	Add movement-focused prompts (e.g. “slow pan left”) for realism
Editing	Use cinematic music and cut on emotional beats to enhance mood

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🌍 Use Cases

• Indie creators making short AI films or reels
• Digital IP development (consistent characters = reusability)
• Product storytelling via character journeys
• Portfolio pieces for AI artists

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🔚 Final Thoughts

This experiment proved that Nano Banana + Wan2.2 can deliver storytelling-quality AI videos with coherent characters, emotional flow, and cinematic visuals—all without touching a camera.

It's a glimpse into how solo creators can build character-driven video content using only a few tools and creative direction.

Ready to get started? Try the free Wan2.2 generator for basic video generation, or upgrade to Pollo AI for the full professional workflow with both Nano Banana and Wan2.2 in one platform.

Let your story lead the way. The tech will follow.

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Written on September 02, 2025

Related guides

• Kling 2.6 Motion Control vs Wan 2.2 Animate: AI Motion Generation Comparison
• Nano Banana 2 vs Z-Image: 2026 Image Model Comparison
• Wan 2.2 vs Wan 3.0: Complete Comparison Guide (Open Weights vs API-Only)