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James Twose 3eff403fb4 feat: Generate VTuber character sheet with expression assets
The Gemini service has been updated to generate a character sheet rather than a single avatar image. This sheet includes the main character and separate assets for closed eyes and an open mouth.

The `AvatarConfig` type and `RiggingEditor` component have been extended to handle these new expression assets (`textureClosedEye`, `textureOpenMouth`). A new `Sprite` component has been added to `Studio.tsx` to correctly render these specific regions from the generated character sheet. The UI has been updated to reflect the new generation process.
2025-11-20 20:55:47 +01:00
components feat: Generate VTuber character sheet with expression assets 2025-11-20 20:55:47 +01:00
hooks feat: Initialize Gemini V-Studio project setup 2025-11-20 20:45:25 +01:00
services feat: Generate VTuber character sheet with expression assets 2025-11-20 20:55:47 +01:00
.gitignore feat: Initialize Gemini V-Studio project setup 2025-11-20 20:45:25 +01:00
App.tsx feat: Generate VTuber character sheet with expression assets 2025-11-20 20:55:47 +01:00
index.html feat: Initialize Gemini V-Studio project setup 2025-11-20 20:45:25 +01:00
index.tsx feat: Initialize Gemini V-Studio project setup 2025-11-20 20:45:25 +01:00
metadata.json feat: Initialize Gemini V-Studio project setup 2025-11-20 20:45:25 +01:00
package.json feat: Initialize Gemini V-Studio project setup 2025-11-20 20:45:25 +01:00
README.md feat: Initialize Gemini V-Studio project setup 2025-11-20 20:45:25 +01:00
tsconfig.json feat: Initialize Gemini V-Studio project setup 2025-11-20 20:45:25 +01:00
types.ts feat: Generate VTuber character sheet with expression assets 2025-11-20 20:55:47 +01:00
vite.config.ts feat: Initialize Gemini V-Studio project setup 2025-11-20 20:45:25 +01:00

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Run and deploy your AI Studio app

This contains everything you need to run your app locally.

View your app in AI Studio: https://ai.studio/apps/drive/1Di9b15uKTFXVof4InO8oefefCDaW9Q26

Run Locally

Prerequisites: Node.js

  1. Install dependencies: npm install
  2. Set the GEMINI_API_KEY in .env.local to your Gemini API key
  3. Run the app: npm run dev