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\n \n $\"Support$ \n \n \n $\"Built$ \n \n
\n \n \n \n

\n\n---\n\n## Table of Contents\n\n1. [Project Overview](#project-overview)\n2. [Features](#features)\n3. [How It Works](#how-it-works)\n4. [Prerequisites](#prerequisites)\n5. [Installation](#installation)\n6. [Usage](#usage)\n7. [Configuration](#configuration)\n8. [File Management](#file-management)\n9. [MCP Integration](#mcp-integration)\n10. [Troubleshooting](#troubleshooting)\n11. [Advanced](#advanced)\n12. [Contributing](#contributing)\n13. [License](#license)\n\n---\n\n## Project Overview\n\nThe **Game Asset Generator** (version **0.3.0**) harnesses AI to streamline the creation of game assets. It supports generating **2D assets** (e.g., pixel art sprites) and **3D assets** (e.g., OBJ and GLB models) from text prompts, integrating with **Hugging Face Spaces** and the **Model Context Protocol (MCP)**. This release introduces support for multiple 3D model generation spaces—`InstantMesh`, `Hunyuan3D-2`, and `Hunyuan3D-2mini-Turbo`—offering flexibility and enhanced performance. Built with **Node.js** and the **MCP TypeScript SDK (v1.7.0)**, it provides a robust, cross-platform solution for asset generation.\n\n---\n\n## Features\n\n- **2D Asset Generation**: Create pixel art, sprites, or other 2D assets from text prompts (e.g., \"pixel art sword\").\n- **3D Asset Generation**: Generate 3D models (OBJ and GLB formats) from text descriptions, with automatic image-to-model conversion.\n- **Multiple 3D Model Spaces**: Supports `InstantMesh`, `Hunyuan3D-2`, and `Hunyuan3D-2mini-Turbo` for varied 3D generation workflows.\n- **MCP Integration**: Seamlessly interact with the tool via MCP-compatible clients like **Claude Desktop**.\n- **File Management**: Automatically saves and organizes assets in a local `assets` directory with resource URIs (e.g., `asset://{type}/{id}`).\n- **Robust Input Validation**: Uses **Zod** for secure and reliable input processing.\n- **Multi-Client Support**: Handles multiple simultaneous connections via **SSE transport**.\n- **Secure Remote Access**: Optional **HTTPS** support for safe remote communication.\n- **Extensible Backend**: Modular design for easy integration of new models or features.\n- **Cross-Platform**: Compatible with Windows, macOS, and Linux using **Node.js**.\n- **Configurable 3D Generation**: Customize parameters like inference steps, guidance scale, and turbo mode via environment variables.\n\n---\n\n## How It Works\n\nThe Game Asset Generator transforms text prompts into game-ready assets through an automated pipeline:\n\n1. **User Input**: Submit a text prompt (e.g., \"pixel art sword\" or \"isometric 3D castle\").\n2. **MCP Server**: Routes the prompt to the appropriate tool (`generate_2d_asset` or `generate_3d_asset`).\n3. **AI Model Interaction**:\n - **2D Assets**: Utilizes the **Hugging Face Inference API** with `\"gokaygokay/Flux-2D-Game-Assets-LoRA\"` (50 steps).\n - **3D Assets**:\n - Generates an initial image using `\"gokaygokay/Flux-Game-Assets-LoRA-v2\"` (30 steps).\n - Converts the image to a 3D model using one of:\n - **InstantMesh**: Multi-step process (`/preprocess`, `/generate_mvs`, `/make3d`).\n - **Hunyuan3D-2**: Single-step process (`/generation_all`).\n - **Hunyuan3D-2mini-Turbo**: Single-step process (`/generation_all`) with configurable turbo modes.\n4. **File Output**: Saves assets (PNG for 2D, OBJ/GLB for 3D) in the `assets` directory.\n5. **Response**: Returns resource URIs (e.g., `asset://3d_model/filename.glb`) for immediate use.\n\n### Workflow Diagram\n```\nUser Prompt → MCP Server → AI Model(s) → Local File → Resource URI Response\n```\n\nPrompts are automatically enhanced with \"high detailed, complete object, not cut off, white solid background\" for optimal quality.\n\n---\n\n## Prerequisites\n\n- **Node.js**: Version 16+ (includes `npm`).\n- **Git**: For cloning the repository.\n- **Internet Access**: Required for Hugging Face API connectivity.\n- **Hugging Face Account**: Needed for API access; obtain your token from [huggingface.co/settings/tokens](https://huggingface.co/settings/tokens).\n- **NPM Packages**:\n - `@gradio/client`: Interacts with Hugging Face Spaces.\n - `@huggingface/inference`: For direct model inference.\n - `@modelcontextprotocol/sdk`: Implements the MCP server.\n - `dotenv`: Loads environment variables.\n - `express`: Enables SSE transport.\n - `zod`: Ensures input validation.\n - `sharp`: Handles image processing.\n- **Optional**: **Claude Desktop** (or another MCP client) for enhanced interaction.\n\n---\n\n## Installation\n\n1. **Clone the Repository**:\n ```bash\n git clone https://github.com/yourusername/game-asset-mcp.git\n cd game-asset-mcp\n ```\n\n2. **Install Dependencies**:\n ```bash\n npm install\n ```\n\n3. **Configure Environment**:\n - Copy the example `.env` file:\n ```bash\n cp .env.example .env\n ```\n - Edit `.env` with your **Hugging Face API token** and duplicated **MODEL_SPACE**. See [Configuration](#configuration) for details.\n\n4. **Run the Server**:\n - **Local (stdio transport)**:\n ```bash\n npm start\n ```\n - **Custom Working Directory**:\n ```bash\n node src/index.js /path/to/directory\n ```\n - **Remote (SSE transport)**:\n ```bash\n node src/index.js --sse\n ```\n - **Remote with HTTPS**:\n ```bash\n node src/index.js --sse --https\n ```\n Requires `ssl/key.pem` and `ssl/cert.pem` (see [ssl/README.md](ssl/README.md)).\n\n> **Note**: Uses ES modules (`\"type\": \"module\"` in `package.json`). Ensure Node.js 16+ is installed (`node --version`).\n\n---\n\n## Usage\n\nInteract with the server via an **MCP client** (e.g., Claude Desktop) or programmatically:\n\n- **Generate a 2D Asset**:\n - **Command**: `generate_2d_asset prompt:\"pixel art sword\"`\n - **Output**: Saves a PNG file (e.g., `2d_asset_generate_2d_asset_1698765432.png`) and returns its URI.\n\n- **Generate a 3D Asset**:\n - **Command**: `generate_3d_asset prompt:\"isometric 3D castle\"`\n - **Output**: Saves OBJ/GLB files and intermediate images, returning their URIs. Provides an operation ID for long-running tasks.\n\n### Prompt Examples\n- **Natural Interaction**:\n - `generate_2d_sprite prompt:\"pixel art sword\"`\n - `generate_3d_model prompt:\"isometric 3D castle\"`\n\n### With Claude Desktop\nAfter configuring (see [Configuration](#configuration)), type commands directly in the interface.\n\n---\n\n## Configuration\n\nCustomize the server via the `.env` file:\n\n### Required Settings\n- **HF_TOKEN**: Hugging Face API token.\n ```plaintext\n HF_TOKEN=your_hf_token\n ```\n- **MODEL_SPACE**: Your duplicated 3D model space (e.g., `your-username/InstantMesh`).\n - Duplicate one of:\n - [InstantMesh](https://huggingface.co/spaces/tencentARC/InstantMesh)\n - [Hunyuan3D-2](https://huggingface.co/spaces/tencent/Hunyuan3D-2)\n - [Hunyuan3D-2mini-Turbo](https://huggingface.co/spaces/tencent/Hunyuan3D-2mini-Turbo)\n ```plaintext\n MODEL_SPACE=your-username/InstantMesh\n ```\n\n### Optional 3D Model Settings\n| Variable | Description | Valid Range/Default |\n|---------------------------|-----------------------------------------------|---------------------------|\n| `MODEL_3D_STEPS` | Inference steps | Varies by space (see below) |\n| `MODEL_3D_GUIDANCE_SCALE`| How closely the model follows the prompt | 0.0-100.0 (default: 5.0-5.5) |\n| `MODEL_3D_OCTREE_RESOLUTION` | Detail level of the 3D model | Varies by space (see below) |\n| `MODEL_3D_SEED` | Randomness control | 0-10000000 (default: varies) |\n| `MODEL_3D_REMOVE_BACKGROUND` | Remove image background | `true`/`false` (default: `true`) |\n| `MODEL_3D_TURBO_MODE` | Generation mode (Hunyuan3D-2mini-Turbo only) | `Turbo`, `Fast`, `Standard` (default: `Turbo`) |\n| `MODEL_SPACE_TYPE` | Override space type detection | `instantmesh`, `hunyuan3d`, `hunyuan3d_mini_turbo` |\n\n#### Space-Specific Defaults\n- **InstantMesh**:\n - Steps: 30-75 (default: 75)\n - Seed: Default 42\n- **Hunyuan3D-2**:\n - Steps: 20-50 (default: 20)\n - Guidance Scale: Default 5.5\n - Octree Resolution: `256`, `384`, `512` (default: `256`)\n - Seed: Default 1234\n- **Hunyuan3D-2mini-Turbo**:\n - Steps: 1-100 (default: 5 for `Turbo`, 10 for `Fast`, 20 for `Standard`)\n - Guidance Scale: Default 5.0\n - Octree Resolution: 16-512 (default: 256)\n - Seed: Default 1234\n\n### Transport Settings\n- **PORT**: SSE transport port (default: 3000).\n ```plaintext\n PORT=3000\n ```\n\n### Claude Desktop Setup\nEdit the config file:\n- **MacOS**: `~/Library/Application Support/Claude/claude_desktop_config.json`\n- **Windows**: `%APPDATA%\\Claude\\claude_desktop_config.json`\n```json\n{\n \"mcpServers\": {\n \"game-asset-generator\": {\n \"command\": \"node\",\n \"args\": [\"/full/path/to/game-asset-mcp/src/index.js\"]\n }\n }\n}\n```\nRestart Claude Desktop after editing.\n\n---\n\n## File Management\n\n- **Storage Location**: Assets are saved in `./assets` within the working directory.\n- **Naming Convention**: Files use a prefix, tool name, timestamp, and unique ID (e.g., `2d_asset_generate_2d_asset_1698765432_abcd1234.png`).\n- **Customization**: Set a custom directory:\n ```bash\n node src/index.js /path/to/custom/directory\n ```\n- **Resource Access**: Use MCP URIs (e.g., `asset://2d_asset/filename.png`) to list or read assets.\n\n---\n\n## MCP Integration\n\nThe **Model Context Protocol (MCP)** enables this tool to serve AI clients securely:\n- **Tools**: `generate_2d_asset`, `generate_3d_asset`.\n- **Resources**: Managed via `asset://` URIs.\n- **Prompts**: `generate_2d_sprite`, `generate_3d_model`.\n- **Compatibility**: Works with **Claude Desktop** and other MCP clients.\n\n---\n\n## Troubleshooting\n\n- **API Errors**: Check network connectivity or rate limits; review `./logs/server.log`.\n- **Authentication Issues**: Verify `HF_TOKEN` and `MODEL_SPACE` in `.env`.\n- **ES Modules Error**: Ensure Node.js 16+ (`node --version`).\n- **Logs**: Inspect detailed logs:\n ```bash\n tail -f ./logs/server.log\n ```\n\n---\n\n## Advanced\n\n### API Endpoints and Integration\n- **2D Asset Generation**: Uses `\"gokaygokay/Flux-2D-Game-Assets-LoRA\"` (50 steps).\n- **3D Asset Image Generation**: Uses `\"gokaygokay/Flux-Game-Assets-LoRA-v2\"` (30 steps).\n- **3D Model Conversion**:\n - **InstantMesh**: Multi-step (`/check_input_image`, `/preprocess`, `/generate_mvs`, `/make3d`).\n - **Hunyuan3D-2**: Single-step (`/generation_all`).\n - **Hunyuan3D-2mini-Turbo**: Single-step (`/generation_all`) with turbo modes.\n\n### Versioning\n- **Current Version**: 0.3.0 (Added Hunyuan3D-2mini-Turbo support).\n- **MCP SDK Version**: 1.7.0.\n- **Format**: MAJOR.MINOR.PATCH (SemVer).\n\n### Backend Architecture\n- **Core File**: `src/index.js`.\n- **Dependencies**: See `package.json`.\n- **Security**: Zod validation, path traversal prevention, HTTPS support, rate limiting.\n- **Performance**: Async processing, retry with backoff, GPU quota handling.\n\n---\n\n## Contributing\n\nWe welcome contributions! To participate:\n1. **Fork the Repository**: Create your copy on GitHub.\n2. **Make Changes**: Add features, fix bugs, or enhance docs.\n3. **Submit a Pull Request**: Detail your changes.\n4. **Open Issues**: Report bugs or suggest improvements.\n\nFollow standard coding conventions and include tests where applicable.\n\n---\n\n## License\n\nLicensed under the **MIT License**. 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