matchanu-1.5

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Matchanu 1.5 (pygrassreal/matchanu1.5)

Prompt-to-3D Mesh & Photorealistic Gaussian Splats Engine

🌐 Official Platform • 📖 About Platform • 💻 Developer API • 🔑 Get API Key • 💬 Contact Enterprise

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"Instant High-Fidelity 3D Assets: From Text & Sketches to Watertight 3D Meshes and Real-Time Gaussian Splat Scenes"

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🌟 Overview: Matchanu 1.5

Matchanu 1.5 is PyGrassReal's generative 3D asset engine capable of synthesizing production-ready watertight 3D meshes (STL, OBJ, PLY) and real-time 3D Gaussian Splats from text descriptions or single 2D concept images.

Designed for Industrial Prototyping (3D Printing), Game & AR/VR Assets, and Architectural Elements, Matchanu 1.5 generates clean topology, UV unwrappings, and volume-accurate meshes without the point cloud artifacts common to open-source prototypes.

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🚀 Core Capabilities (Generative 3D Mesh & Splats)

1. 🧊 Prompt & Image-to-3D Mesh:
   • Converts single-view product photos or text prompts into clean, manifold 3D meshes ready for Blender, Rhino, Maya, or Unreal Engine.
2. 🖨️ 3D Printing Ready (Watertight Topology):
   • Automatically heals non-manifold geometry, closes holes, and checks wall thickness thresholds for FDM/SLA 3D printing.
3. ✨ Photorealistic 3D Gaussian Splatting:
   • Exports .splat and Gaussian .ply point volumes for ultra-smooth 60fps real-time rendering in WebGL (Three.js) and spatial computing headsets.
4. 📦 Multi-Format Export:
   • Full native export support for .stl, .obj with .mtl, .ply, and .gltf / .glb.

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💳 Commercial API Pricing

• Manage API credentials and view model specifications at the PyGrassReal Model Catalog.

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💻 Quick Start & API Integration

1. Python (Async 3D Generation)

import requests

API_URL = "https://api.pygrassreal.ai/v1/3d/generate"
HEADERS = {
    "Authorization": "Bearer pgr_live_your_api_key_here",
    "Content-Type": "application/json"
}

payload = {
    "model": "pygrassreal/matchanu1.5",
    "prompt": "An aerodynamic ergonomic concept kettle with integrated digital handle display, clean industrial aesthetic",
    "format": "glb",
    "topology": "quads",
    "watertight": True
}

response = requests.post(API_URL, json=payload, headers=HEADERS)
data = response.json()
print("3D Model Download URL:", data["download_url"])

2. cURL (Terminal)

curl https://api.pygrassreal.ai/v1/3d/generate \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer pgr_live_your_api_key_here" \
  -d '{
    "model": "pygrassreal/matchanu1.5",
    "prompt": "A modern parametric outdoor lounge chair",
    "format": "stl"
  }'

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🔒 Enterprise Support & Licensing

• License: Commercial & Proprietary Software License.
• Inquiries: [email protected] • https://pygrassreal.ai