Hello Creative Minds!
Are you looking for a tool that revolutionizes the way you work? We're excited to introduce the latest version of VoxCraft-a cutting-edge 3D AIGC tool designed to drastically enhance efficiency and creativity in your projects.
🚀 What is VoxCraft?
VoxCraft offers efficient automation in generating diverse 3D assets, making it an ideal tool for use in gaming, film, and creative advertising. With VoxCraft, you can quickly create 3D models by simply inputting text descriptions or uploading 2D images. This accelerates the 3D modeling process and simultaneously expands your 3D asset library, streamlining your workflow like never before.
🚀 Why you should join VoxCraft V1.1 testing?
- Get Early Access to the New Version's Updates: The VoxCraft V1.1 revolutionizes 3D modeling with enhanced structural precision, model fidelity, and advanced texture mapping. This latest update brings unparalleled realism and detail to your designs, ensuring that every element is rendered with the highest accuracy.
- Exclusive Access Granted: By joining this user test, you'll secure priority access to all our future user test programs, ensuring you're always at the cutting edge of our advancements. As a priority member, you'll not only get a first look at new features but also have the unique opportunity to shape the development of VoxCraft.
🌟 The VoxCraft Impact on Your Work:
- Save Time and Energy: VoxCraft offers automated processing to solve your repetitive tasks and makes you focus on the creative aspects of.
- Enhance Quality: With advanced features, you can push the boundaries of what's possible in 3D design, resulting in higher-quality, more compelling visual content.
- Stay Ahead of the Curve: In a fast-paced industry, having a tool that keeps up with your demands is essential. WenSheng 3D is constantly updated with the latest technological advancements.
🔗 Join Our V1.1 testing Program:
We’re inviting beta testers to be the first to experience the latest updates of VoxCraft. Your feedback and insights will be invaluable in shaping the future of this tool.
Replies
What training data did you use for your generative model? Was it sourced from the wide open internet, or did you train on your own data? We do have some concerns about the use of copyrighted art in AI datasets.