stable-zero123

Maintainer: stabilityai

Total Score

554

Last updated 5/17/2024

PropertyValue
Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided

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Model Overview

Stable Zero123 is a model for view-conditioned image generation based on Zero123. The model has improved data rendering and conditioning strategies compared to the original Zero123 and Zero123-XL, demonstrating better performance. By using Score Distillation Sampling (SDS) with the Stable Zero123 model, high-quality 3D models can be produced from any input image. This process can also extend to text-to-3D generation by first generating a single image using SDXL and then using SDS on Stable Zero123 to generate the 3D object.

Model Inputs and Outputs

Inputs

  • Image: An input image to be used as the starting point for 3D object generation.

Outputs

  • 3D Object: A 3D mesh model generated from the input image using the Stable Zero123 model.

Capabilities

The Stable Zero123 model can generate high-quality 3D models from input images. It has improved performance compared to previous iterations of the Zero123 model, making it a useful tool for 3D object generation tasks.

What Can I Use It For?

The Stable Zero123 model is intended for research purposes, particularly in the areas of generative models, safe deployment of models with potential to generate harmful content, and understanding the limitations and biases of generative models. It can be used for the generation of artworks and in design and other artistic processes, as well as in educational or creative tools.

Things to Try

Researchers can explore using the Stable Zero123 model to generate 3D objects from a variety of input images, and investigate ways to further improve the quality and capabilities of the model. Developers can integrate the Stable Zero123 model into their projects, such as 3D design or artistic creation tools, to enable users to easily generate 3D models from images.



This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!

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