3D modeling has traditionally been a complex and time-consuming process requiring specialized skills. But now, it is undergoing rapid changes thanks to advances in AI. Where specialized 3D software was once the only option, emerging tools are now using machine learning and AI to help anyone visualize their ideas in virtual form. 3DTopia, a new text-to-3D AI generator, is at the forefront of this movement. This AI model is making it easy for anyone to generate high-quality 3D assets from descriptive text in just a few minutes. The team behind this model have just released a demo of their text-to-3D generation model 3DTopia on HuggingFace Spaces. In this article, we will explore how to use this demo to generate 3D assets from language descriptions alone. So, let’s get started!
What is 3DTopia?
3DTopia is a state-of-the-art text-to-3D AI model that transforms textual descriptions into visually stunning 3D models. Developed by researchers from Shanghai AI Lab and Nanyang Technological University, 3DTopia uses cutting-edge neural networks to visualize concepts described in language quickly. Through a novel two-stage approach, it can go from a short textual prompt to a detailed 3D model ready for use in games, films, product design and more, with impressive accuracy and detail within just 5 minutes.
Stages of 3D Generation Process in 3DTopia
Behind the scenes, 3DTopia employs a novel two-stage approach.
1. First Stage
Stage one rapidly spits out initial candidates using diffusion models. These preliminary assets capture the prompt’s core concept but lack detail and coherence.
2. Second Stage
Stage two is where the real magic happens. A single candidate is fed into a mesh-based refiner for texture optimization, geometry enhancement and other quality improvements. The resulting 3D model exhibits vivid visuals with naturally sculpted surfaces and textures aligned to the source prompt.
3DTopia Text-to-3D Demo on HuggingFace
The 3DTopia demo on HuggingFace provides an easy way to experiment with their AI model’s text-to-3D generation capabilities. Here are the basic steps to get started:
Step 1: Access the Demo
To access the 3DTopia demo, simply visit the HuggingFace platform and navigate to the 3DTopia space.
Direct Demo Link: https://huggingface.co/spaces/hongfz16/3DTopia
Step 2: Enter Your Prompt
In the designated text box, provide a short description of the 3D object or scene you want to generate. Keep it concise but include important attributes.
Step 3: Choose the Number of Samples
Before starting the generation process, set the number of samples from 1-4 under advanced options. Moreover, you can adjust steps, guidance scale and seed values.
Step 4: Generate 3D
Next, click the “Generate 3D” button to initiate the first stage of generation using the diffusion model. This step takes 30 seconds if you set four samples.
Step 5: Review Candidates
A set of 3D previews (2-second videos) will appear depending on the number of samples you set, representing different interpretations of the prompt. Watch them and inspect each candidate to find the most suitable option.
Step 6: Select a Candidate for Refinement
Choose one of the generated candidates by selecting its number in the dropdown menu under “Choose a Candidate For Stage 2”.
Step 7: Start Refinement
Now, click “Start Refinement” to send the selected candidate to the mesh refiner for the second stage of processing. This step takes roughly one and a half minutes.
Step 8: Review the Refinement
Once refinement is complete, the improved 3D model will appear in the viewer box as a 4-second refinement video, showing enhancements in detail.
Step 9: Download Final Mesh
Click “Download Mesh” to save it for use.
This covers the basics of using the 3DTopia demo on HuggingFace. Overall, the streamlined demo experience makes leveraging the power of text-to-3D generation remarkably easy.
Access the Open-Source Code on GitHub
Researchers have released an open-source code for the implementation of 3DTopia on GitHub to foster further development. You can find the repository at https://github.com/3DTopia/3DTopia. Note that the 3DTopia demo on HuggingFace is not the complete version due to resource limitations. The second stage only uses one-step optimization instead of two, resulting in blurry 3D textures. The complete version is available on GitHub.
Final Verdict
The release of 3DTopia marks an important milestone in AI-assisted 3D content creation. By automating early design cycles, it has the potential to dramatically expand creative output while lowering the barrier to 3D modeling. Experiment with different types of text descriptions and see how 3DTopia interprets and transforms them into visually stunning 3D representations.
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