The "Changing Face" Problem

You generate a stunning image of a person. You love it. You try to generate the same person in a different pose, and suddenly... they look like a stranger. Different nose, different hair, different vibe.

For AI creators, this is the biggest frustration. Whether you are making a Brand Mascot, a Virtual Influencer, or just a series of images, consistency is key.

Here is the technical guide to forcing Google Gemini (Nano Banana) to lock identity.

Method 1: The "Seed" Technique 🌱

Every AI image starts with a random noise pattern called a "Seed." If you keep the seed the same, the output remains consistent.

  • Step 1: Generate your base character.
  • Step 2: Ask the AI: "What is the seed number for this image?"
  • Step 3: In your next prompt, add: --seed [NUMBER] along with your new action.

Method 2: The "Character Sheet" Prompt 📄

The best way to teach the AI your character's structure is to generate a "Reference Sheet" first.

Prompt Formula: "A character design sheet of [SUBJECT DESCRIPTION]. Three views: Front, Side, and 3/4 view. Neutral expression, white background, consistent lighting. High fidelity, 4k."

Once you have this sheet, use the Image-to-Image feature in Nano Banana and say: "Use this character reference to create a new image of them eating a burger."

Method 3: The "Anchor" Keywords ⚓

AI models have a short memory. To keep consistency, you need "Anchor Keywords"—distinctive features that you repeat in every single prompt.

Example Anchors: "Scar on left eyebrow", "Neon green headphones", "Platinum blonde bob cut".

Conclusion

Consistency isn't magic; it's math. By controlling the Seed and using Reference Sheets, you can turn a random AI generation into a consistent digital asset.