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Description
Amara intuitively comprehends the composition of your scene and strategically positions assets in their appropriate locations. Eliminate the need for manual asset placement and swiftly fill your scenes within seconds by utilizing natural language commands. Transform 2D images into production-ready 3D meshes effortlessly through Amara's capabilities. Additionally, you can refine your 3D models by issuing straightforward text directives, allowing you to modify geometry or texture until the result meets your expectations. Experience seamless AI-driven scene generation and 3D mesh creation directly within Unreal Engine. As an innovative plugin, Amara revolutionizes the future of scene generation in Unreal Engine, enabling the instantaneous creation of production-ready assets while streamlining your entire 3D workflow. Engage in a conversation with your Unreal Engine scene, facilitating the placement of assets, layout adjustments, and design iterations through natural language. It empowers you to construct complete scenes simply with text commands, and you even have the option to generate a personal API key to authenticate the Amara plugin, ensuring secure access to its powerful features. With Amara, the potential for creativity and efficiency in your projects is limitless.
Description
WorldClaw represents a comprehensive framework that facilitates the generation of expansive, freely navigable, and modifiable 3D open worlds, all derived from open-ended text prompts. Instead of constructing an entire world in one go, it employs a strategy that transitions from a broad overview to detailed regional features, ensuring spatial coherence while enriching local attributes. Initially, planning agents convert the text prompt into a structured scene specification that includes regions, terrain, assets, materials, visual aesthetics, and spatial arrangements. It establishes a globally consistent terrain base by utilizing semantic layouts, reusable assets, generative or procedural materials, and height fields that are sensitive to regional context. For areas that demand more intricate detail, WorldClaw generates terrain-conditioned compositions, reconstructs editable textured meshes, and appropriately places them within the scene. Subsequently, render-based agents enhance the terrain geometry, fine-tune object appearances, optimize arrangements, and ensure proper interactions with the surrounding environment. This multi-layered approach allows for both the creation of vast landscapes and the intricate detailing needed for immersive exploration.
API Access
Has API
API Access
Has API
Integrations
Unreal Engine
Pricing Details
Free
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amara
Country
United States
Website
amara.01c.ai/
Vendor Details
Company Name
Tencent
Founded
1998
Country
China
Website
tencent-hunyuan.github.io/Hunyuan3D-WorldClaw/