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What is MagiScan?

The app allows users to swiftly scan real-life objects and save the data in numerous formats including OBJ, STL, FBX, PLY, USDZ, GLB, and GLTF. Furthermore, MagiScan supports the export of these scanned 3D models to the NVIDIA Omniverse platform and enables users to easily integrate them into Minecraft as block structures. Using MagiScan does not require any sophisticated hardware or specialized skills; all that is needed is a smartphone camera along with the app to get started. This tool provides a fast and economical option for artists, designers, and engineers aiming to develop 3D likenesses of physical items. New users can take advantage of several complimentary scans without needing a subscription, which presents a fantastic chance to get acquainted with the app and evaluate the quality of the 3D models created by MagiScan. After utilizing the free scans, users can opt for a subscription that grants unlimited access to the app's full range of features, promoting continuous creativity and workflow. The interface is crafted to be user-friendly, fostering a spirit of exploration and experimentation in the realm of 3D modeling while ensuring that users from all backgrounds can engage with it. This accessibility makes it an appealing choice for anyone interested in delving into 3D design.

What is Magi AI?

Magi represents a groundbreaking open-source autoregressive video generation model developed by Sand AI, specifically designed to deliver high-quality and temporally cohesive videos through a segmented generation method. Unlike traditional models that attempt to create entire videos in one go, Magi generates predefined segments of 24 frames sequentially, which not only enhances real-time streaming capabilities but also allows for the production of longer videos. With its Transformer-based Variational Autoencoder (VAE) architecture, the model achieves remarkable compression rates of 8x spatial and 4x temporal, resulting in swift decoding while preserving exceptional reconstruction quality. The integration of various advancements in the model contributes to improved training efficiency and stability, particularly when dealing with larger scales. Furthermore, Magi utilizes a distillation algorithm that supports different inference budgets, which ensures effective video generation with minimal loss of fidelity. Comprehensive pre-trained weights and inference code, along with detailed instructions for implementation through Docker or source code, are readily provided to facilitate user engagement and experimentation. Thus, with these advanced features, Magi not only serves as a powerful tool for creators but also opens up new possibilities in the domain of video generation technology. As a result, it has the potential to significantly influence the creative processes of video artists and developers alike.

Media

Media

Integrations Supported

Docker
KomikoAI
NVIDIA Omniverse

Integrations Supported

Docker
KomikoAI
NVIDIA Omniverse

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

MagiScan

Company Location

Poland

Company Website

magiscan.app/

Company Facts

Organization Name

Sand AI

Date Founded

2023

Company Location

Singapore

Company Website

sand.ai/magi

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