Stable Zero123: Pushing the Boundaries of 3D Object Generation

Stability AI has unveiled its latest breakthrough in AI-generated 3D imagery – Stable Zero123. This new model sets a new high bar for creating photorealistic 3D renderings of objects from a single input image.

Stable Zero123 leverages three key innovations to achieve superior image quality compared to previous state-of-the-art models like Zero123-XL. First, the team curated a high-quality dataset from Objaverse, filtering out low-quality 3D objects and re-rendering the remaining objects with enhanced realism. Second, the model is provided with estimated camera angle data during training and inference, allowing it to generate images with greater precision. Finally, optimizations like pre-computed latents and an improved dataloader enabled much more efficient training, with a 40X speed-up over Zero123-XL.

Early tests show Stable Zero123 generates remarkably vivid and consistent 3D renderings across various object categories. Its ability to extrapolate realistic 3D structure from limited 2D image cues highlights the rapid progress in this blossoming field. With further advancements, AI-assisted 3D model creation could soon become indispensable across industries like gaming, VR, and 3D printing.

Enhanced Training Dataset

The Enhanced Training Dataset for the Stable Zero123 model is based on renders from the Objaverse dataset, utilizing an enhanced rendering method. The model is a latent diffusion model and was trained on the Stability AI cluster on a single node with 8 A100 80GBs GPUs. The training dataset and infrastructure used are specific to the development of the Stable Zero123 model.

Applications and Impact

The enhancements unveiled in Stable Zero123 could have wide-ranging impacts across several industries that rely on 3D digital content. Sectors like gaming and VR are constantly pushing the boundaries of realism in asset creation, and Stable Zero123’s ability to extrapolate intricate 3D models from basic 2D sketches could significantly accelerate development timelines. More consumer-focused applications like 3D printing may also benefit, as users can quickly iterate through design ideas without intensive modeling expertise.

Perhaps most promising is Stable Zero123’s potential to democratize advanced 3D creation capabilities. While photorealistic CGI rendering currently requires specialized skills and tools, Stable Zero123 provides a glimpse of more automated workflows. If ongoing research continues to enhance these generative AI systems, nearly anyone may soon possess the powers of professional 3D artists at their fingertips. Brand-new creative possibilities could emerge when designers and artists of all skill levels can experiment rapidly with 3D concepts that once seemed unattainable. In the near future, Stable Zero123’s innovations could unlock newfound productivity and imagination across industries.


With the launch of Stable Zero123, Stability AI continues its relentless pace of innovation in AI-generated media. Coming on the heels of breakthroughs like Stable Diffusion for image generation and Stable Diffusion Video for text-to-video creation, Stability AI is establishing itself as a leading force in this rapidly evolving landscape. Stable Zero123 delivers their most impressive achievement yet in photorealistic 3D model generation from limited 2D inputs.

The enhancements in data curation, elevation conditioning, and training efficiency have enabled unprecedented image quality leaps over previous state-of-the-art models. As Stability AI continues to push boundaries, applications spanning gaming, VR, 3D printing, and more may see transformative productivity gains from AI-assisted content creation. If progress maintains this velocity, the future looks bright for next-generation creative tools that capture imaginations and unlock new possibilities. Stable Zero123 provides a glimpse into this exciting frontier, where AI equips people across skill levels with once-unfathomable 3D creation superpowers. You can check out the weights on Huggingface.


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