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Introduction:
Create 3D videos and meshes from a single image with SV3D.
Added on:
2025-01-13
Monthly Visitors:
webTraffic 490
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Stable Video 3D Product Information

What is Stable Video 3D?

SV3D is a generative model that creates 3D videos and meshes from a single image, using Stable Video Diffusion technology.

How to use Stable Video 3D?

Input a single image to generate multi-angled views and detailed 3D meshes with ease using SV3D.

Stable Video 3D's Core Features

  • Multi-View Synthesis
  • Model Variants: SV3D_u and SV3D_p
  • Commercial and Non-Commercial Use

Stable Video 3D's Use Cases

  • #1 3D model generation from single images
  • #2 Orbital video creation without camera conditioning
  • #3 3D video creation along specific camera paths

FAQ from Stable Video 3D

What is Stable Video 3D (SV3D)?
SV3D is a generative model that creates 3D videos and meshes from a single image, using Stable Video Diffusion technology.
How does SV3D work?
SV3D takes a single image of an object and generates novel multi-view representations of it, which can be used to create detailed 3D meshes.
What are the variants of SV3D?
There are two variants: SV3D_u for generating orbital videos without camera conditioning, and SV3D_p for creating 3D videos along specific camera paths.
Can I use SV3D for commercial purposes?
Yes, SV3D can be used for commercial purposes with a Stability AI Membership. For non-commercial use, you can download the model weights from Hugging Face.
Is there any training required to use SV3D?
Basic knowledge of 3D modeling and generative models is helpful, but detailed usage instructions are available in our GitHub repository.
What kind of images can SV3D process?
SV3D is optimized for single images of objects, ideally with a clear, unobstructed view for optimal 3D generation.
How does SV3D compare to traditional 3D modeling methods?
SV3D automates the generation of 3D models from images, offering faster and more efficient results compared to manual 3D modeling methods.
Is SV3D better than other generative models?
SV3D is particularly advanced in novel view synthesis and 3D generation from single images, making it a unique offering in the generative model space.
Can SV3D be used for educational purposes?
Absolutely. SV3D can be a valuable tool for educational institutions in fields like computer graphics, 3D modeling, and AI.
What are the system requirements to use SV3D?
Using SV3D requires a system with adequate processing power, particularly for graphics processing. Exact specifications can be found in our documentation.
How accurate are the 3D models generated by SV3D?
SV3D produces high-quality 3D models, though the accuracy depends on the input image quality and the model's training data.
Are there any ethical considerations when using SV3D?
Yes, users should adhere to ethical guidelines, avoiding the creation of misleading or harmful content, and comply with Stability AI's Acceptable Use Policy.
Where can I find more information and tutorials about SV3D?
Additional information, including tutorials, can be found on our GitHub repository, project page, and through our online community on various social platforms.
Stable Video 3D Company
Stable Video 3D Company name: Stability AI .
Stable Video 3D Linkedin
Stable Video 3D Linkedin Link: https://www.linkedin.com/company/stability-ai/
Stable Video 3D Twitter
Stable Video 3D Twitter Link: https://twitter.com/StabilityAI
Stable Video 3D Instagram
Stable Video 3D Instagram Link: https://www.instagram.com/stability.ai/
Stable Video 3D Github
Stable Video 3D Github Link: https://github.com/Stability-AI

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Stable Video 3D Analytic

Stable Video 3D Website Traffic Analysis

Visit Over Time

  • Monthly Visits 490
  • Avg.Visit Duration 39.57
  • Page per Visit 1.74
  • Bounce Rate 47%

Jan 2024-Apr 2025 All Traffic

Geography

Top 5 Regions
  • flag India 132
  • flag Taiwan 107
  • flag Hong Kong 181
  • flag United States 68

Jan 2024-Apr 2025 Desktop Only

Traffic Sources

  • Mail 0
  • Direct 75
  • Search 78
  • Social 21
  • Referrals 309
  • PaidReferrals 3

Jan 2024-Apr 2025 Desktop Only

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