Creating 3D models has traditionally been expensive and time-consuming, but NeuralAI revolutionizes this process by leveraging generative AI. With text-to-3D and image-to-3D capabilities, NeuralAI dramatically reduces costs, time, and complexity, delivering refined 3D models ready for game engines and design software. Its platform enables developers to automate 3D content creation at scale, eliminating the need for manual modeling or large design teams, while maintaining high-quality standards.

NeuralAI’s fast 3D model creation process allows developers to iterate and experiment more rapidly, translating ideas from text or images into industry-standard 3D assets that are exportable for direct integration into software or game engines. The platform empowers creativity without limitations, driven by AI’s potential to enhance the development of games, movies, and other creative industries.

With the dApp for 3D generation, NeuralAI offers a powerful toolkit for creators, including mining templates for TAO miners, enabling GPU rentals to support the network. NeuralAI also envisions GPU streaming, allowing gamers with hardware limitations to access high-quality GPU power on demand.

By bridging the gap between indie developers and large studios, NeuralAI transforms 3D asset creation, making it faster, more accessible, and cost-effective, while enabling developers to build more efficiently and push the boundaries of creativity.

Key Features:

• High-Quality 3D Generation: Create realistic 3D models from simple text or image inputs.
• Customizable Parameters: Fine-tune settings to tailor outputs to specific project requirements.
• Real-Time Rendering: View generated models instantly with minimal latency.
• Cross-Platform Compatibility: Easily integrate with major game engines and 3D modeling software.

Miner and Validator Functionality:

Miners: Miners in the NeuralAI Subnet provide the computational power for 3D asset generation. When validators send a request (in text or image format), miners use their resources to produce a 3D mesh object. The completed mesh is then sent to validators, who evaluate its quality and performance, providing feedback on the miner’s speed and accuracy.

Validators: Validators assign tasks to miners, sending prompts in text or image format. Upon receiving the 3D mesh object, validators render the model from different angles and compare it to the original prompt, scoring it based on quality and execution time. These scores are then sent back to miners, helping them gauge their performance.