Stable Fast 3D Server
БесплатноНе проверенEnables generating 3D models (GLB files) from 2D images using Stability AI's Stable Fast 3D API, with customizable parameters and credit balance checking.
Описание
Enables generating 3D models (GLB files) from 2D images using Stability AI's Stable Fast 3D API, with customizable parameters and credit balance checking.
README
An MCP (Model Context Protocol) server that provides tools to generate 3D models from images using Stability AI's Stable Fast 3D API.
Features
- Generate 3D models from images: Convert any 2D image into a high-quality 3D GLB file
- Customizable parameters: Control texture resolution, mesh complexity, and more
- Base64 support: Generate from base64-encoded images for programmatic use
- Credit balance check: Monitor your Stability AI account balance
Prerequisites
- Python 3.10 or higher
- A Stability AI API key (get one at https://platform.stability.ai/account/keys)
Installation
- Clone or download this repository:
cd mcp-stable-fast-3d
- Install dependencies:
pip install -e .
- Set your Stability AI API key as an environment variable:
Windows (PowerShell):
$env:STABILITY_API_KEY = "sk-your-api-key-here"
Windows (Command Prompt):
set STABILITY_API_KEY=sk-your-api-key-here
Linux/macOS:
export STABILITY_API_KEY="sk-your-api-key-here"
Usage
Running the Server
python server.py
Or using the installed command:
mcp-stable-fast-3d
Configuring with Claude Desktop
Add this to your Claude Desktop configuration file (claude_desktop_config.json):
Using uvx from GitHub (recommended - no installation required):
{
"mcpServers": {
"stable-fast-3d": {
"command": "uvx",
"args": ["--from", "git+https://github.com/rikturnbull/mcp-stable-fast-3d", "mcp-stable-fast-3d"],
"env": {
"STABILITY_API_KEY": "sk-your-api-key-here"
}
}
}
}
Using local installation with Python:
Windows:
{
"mcpServers": {
"stable-fast-3d": {
"command": "python",
"args": ["C:\\path\\to\\mcp-stable-fast-3d\\server.py"],
"env": {
"STABILITY_API_KEY": "sk-your-api-key-here"
}
}
}
}
macOS/Linux:
{
"mcpServers": {
"stable-fast-3d": {
"command": "python",
"args": ["/path/to/mcp-stable-fast-3d/server.py"],
"env": {
"STABILITY_API_KEY": "sk-your-api-key-here"
}
}
}
}
Configuring with VS Code (GitHub Copilot)
Add to your VS Code settings.json or create .vscode/mcp.json in your project:
Using uvx from GitHub (recommended):
{
"servers": {
"stable-fast-3d": {
"command": "uvx",
"args": ["--from", "git+https://github.com/rikturnbull/mcp-stable-fast-3d", "mcp-stable-fast-3d"],
"env": {
"STABILITY_API_KEY": "sk-your-api-key-here"
}
}
}
}
Using local virtual environment:
{
"servers": {
"stable-fast-3d": {
"command": "c:\\path\\to\\mcp-stable-fast-3d\\.venv\\Scripts\\python.exe",
"args": ["c:\\path\\to\\mcp-stable-fast-3d\\server.py"],
"env": {
"STABILITY_API_KEY": "sk-your-api-key-here"
}
}
}
}
Available Tools
generate_3d_model
Generate a 3D model (GLB file) from a 2D image file.
Parameters:
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
image_path |
string | Yes | - | Path to input image (JPEG, PNG, or WebP) |
output_path |
string | No | Same as input with .glb extension | Path for output GLB file |
texture_resolution |
string | No | "1024" | Texture resolution: "512", "1024", or "2048" |
foreground_ratio |
float | No | 0.85 | Padding ratio (0.1 to 1.0) |
remesh |
string | No | "none" | Remeshing: "none", "quad", or "triangle" |
vertex_count |
int | No | -1 | Target vertex count (-1 for no limit) |
Example:
Generate a 3D model from the image at C:\images\cat-statue.png with high resolution textures
generate_3d_model_from_base64
Generate a 3D model from a base64-encoded image.
Parameters:
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
image_base64 |
string | Yes | - | Base64-encoded image data |
image_format |
string | Yes | - | Image format: "jpeg", "png", or "webp" |
output_path |
string | Yes | - | Path for output GLB file |
texture_resolution |
string | No | "1024" | Texture resolution |
foreground_ratio |
float | No | 0.85 | Padding ratio |
remesh |
string | No | "none" | Remeshing algorithm |
vertex_count |
int | No | -1 | Target vertex count |
check_api_balance
Check your Stability AI account credit balance.
API Costs
- Stable Fast 3D: 10 credits per successful generation
- Failed generations are not charged
Input Image Guidelines
For best results:
- Use images with a clear, well-lit subject
- The object should be centered in the frame
- Clean backgrounds work better
- Image dimensions should be between 64×64 and 2048×2048 pixels
- Total pixel count must be between 4,096 and 4,194,304 pixels
Output Format
The generated 3D model is saved as a GLB file (glTF Binary), which includes:
- 3D mesh geometry
- Albedo (color) texture map
- Normal texture map
GLB files can be viewed in:
- Windows 3D Viewer
- Blender
- Unity/Unreal Engine
- Most modern web browsers (with appropriate viewers)
Error Handling
The server handles common errors:
- Missing API key
- Invalid image formats
- API rate limiting (150 requests per 10 seconds)
- File not found errors
- Network timeouts
License
MIT License
Установить Stable Fast 3D Server в Claude Desktop, Claude Code, Cursor
unyly install stable-fast-3d-mcp-serverСтавит в Claude Desktop, Claude Code, Cursor и VS Code — сам разбирается с npx, uvx и сборкой из исходников.
Впервые? Поставь CLI: curl -fsSL https://unyly.org/install | sh
Или настроить вручную
Выполни в терминале:
claude mcp add stable-fast-3d-mcp-server -- uvx --from git+https://github.com/rikturnbull/mcp-stable-fast-3d mcp-stable-fast-3dFAQ
Stable Fast 3D Server MCP бесплатный?
Да, Stable Fast 3D Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Stable Fast 3D Server?
Нет, Stable Fast 3D Server работает без API-ключей и переменных окружения.
Stable Fast 3D Server — hosted или self-hosted?
Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.
Как установить Stable Fast 3D Server в Claude Desktop, Claude Code или Cursor?
Открой Stable Fast 3D Server на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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