Update README.md

README.md

@@ -1,63 +1,37 @@
 <div align="center">
   <img src="public/logo-large.webp" alt="Forgery Logo" width="200" height="200" />
   <h1>Forgery</h1>
-  <p><strong>Build, remix, and re-style characters with AI — extract equipment from images, store them in a library, and apply equipment + pose/expression to generate fresh looks.</strong></p>
+  <p><strong>Build, remix, and re-style characters with AI</strong></p>
 </div>
 
-[![build-badge](https://img.shields.io/badge/build-wip-yellow)](https://github.com/yourname/forgery) [![license-mit](https://img.shields.io/badge/license-MIT-blue)](./LICENSE)
+Forge characters, not chaos. Forgery helps you extract equipments (props, clothing, accessories) from character images, save them as reusable items, and then generate new character _looks_ by applying selected equipments + pose/expression controls using AI image generation.
 
-Forge characters, not chaos. `forgery` helps you extract equipments (props, clothing, accessories) from character images, save them as reusable items in a DB, and then generate new character _looks_ by applying selected equipments + pose/expression controls using AI image generation.
 
----
 
 ## Why Forgery?
 
 - **Modular Assets**: Turn screenshots, cosplay photos, or movie stills into modular assets.
 - **Rapid Prototyping**: Quickly prototype many character looks by mixing and matching equipments.
 - **Fine-Grained Control**: Add expression & pose control to generated looks for richer results.
-- **Local-First & Private**: All data, including your image library and generated results, is stored locally on your machine.
-- **Flexible AI Integration**: Seamlessly switch between Google Gemini and OpenAI models for different stages of the pipeline.
 
----
 
-## Highlights
-
-- 🔍 **Equipment extraction** — detect & crop equipment regions, normalize and store metadata.
-- 🧩 **Equipment library** — structured DB with visual preview, masks, tags, anchors, and compatibility hints.
-- 🖼️ **Apply equipments** — generate a new image of a character wearing selected equipments.
-- 🎭 **Pose & expression controls** — specify expression and pose priors to steer generation.
-- 🔌 **Model-agnostic** — plug in your favorite segmentation or image-generation models (OpenAI, Gemini supported out-of-the-box).
-- ♻️ **Open-source** — clear data model & contribution guidelines.
-
----
 
 ## How It Works
 
-1. **Extract**: Upload a character image. Forgery analyzes it to identify and extract equipment (outfits, weapons, accessories).
-2. **Refine**: Review the extracted assets, refine their masks, and save them to your library.
-3. **Create Character**: Upload a base portrait for your character.
-4. **Fitting Room**: Combine your character with selected equipment, choose a pose, and set an expression.
-5. **Generate**: Watch as Forgery generates a new Look for your character.
+1. **Extractor**: Upload an image. Forgery analyzes it to identify and extract equipment (outfits, weapons, accessories).
+2. **Create Character**: Upload a base portrait for your character.
+3. **Fitting Room**: Combine your character with selected equipment, choose a pose, and set an expression.
+4. **Generate**: Watch as Forgery generates a new Look for your character.
 
----
 
-## Core Concepts
-
-- **Equipment** — any wearable or attachable asset extracted from images (hat, glasses, sword, jacket). Stored with mask, anchor points, metadata.
-- **Character** — a user-created profile representing a base person/portrait used as the generation canvas.
-- **Look** — a generated image (or variant) that applies a set of equipments to a character, optionally altered by pose/expression.
-- **Extraction** — computer vision process that detects equipment regions and outputs masks, crops, and suggested anchors.
-- **Application/Generation** — image generation pipeline that composes character + selected equipments + conditioning (pose/expression) into a final render.
-
----
 
 ## Getting Started
 
 ### Requirements
 
-- [Bun](https://bun.sh) (v1.0.0 or later)
+- [Bun](https://bun.sh)
 - **OR** [Docker](https://www.docker.com/)
-- API Keys for OpenAI or Google Gemini (for AI generation)
+- API Keys for OpenAI or Google Gemini
 
 ### Local Quickstart
 
@@ -93,7 +67,7 @@ docker run -d \
 # server available at http://localhost:3000
 ```
 
----
+
 
 ## Configuration
 
@@ -102,9 +76,23 @@ Forgery requires API keys for AI generation services (Google Gemini and/or OpenA
 1.  Launch the application and go to the **Settings** page (accessed via the sidebar).
 2.  Enter your **Google API Key** and/or **OpenAI API Key**.
 3.  Configure your preferred models for text and image generation.
-4.  (Optional) Customize the "Extraction Flow" to choose specific models for different steps of the asset analysis and generation process.
 
----
+
+## Model Recommendations
+
+For optimal results in both equipment extraction and high-fidelity character generation, it is highly recommended to use the **Nana Banana Pro** model. This model provides superior precision for isolating modular assets and ensures the most consistent "looks" when remixing styles and accessories.
+
+For the Refine step, the standard Nano Banana model is typically sufficient to handle iterative adjustments and polish without the need for the Pro-level tier.
+
+
+
+## Data Backup
+
+Your data is stored locally in data folder. To back up your library, character assets, and configuration, simply copy the data folder.
+
+To restore, place the folder back in the root directory (or your Docker volume path) before starting the application.
+
+
 
 ## Architecture Overview
 
@@ -118,22 +106,10 @@ A modular pipeline built on a modern stack:
    - Orchestrates AI models (OpenAI/Gemini) to analyze images and generate masks.
 4. **Asset Store**
    - Local file system (`data/files`) for storing optimized WebP images.
-5. **Generation Service**
-   - Composes prompts and conditioning for image generation models.
-6. **DB** (SQLite + Prisma)
+5. **DB** (SQLite + Prisma)
    - Stores metadata, relationships, settings, and generation history.
 
----
 
-## Contributing
-
-Love forks, fixes, and wild experiments.
-
-- Run tests: `bun test`
-- Lint code: `bun run lint`
-- Create clear PRs with reproducible steps and small commits.
-
----
 
 ## License