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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Atlas represents an advanced omni world model designed for spatial intelligence, seamlessly engaging with text, images, video, and 3D data. As a sophisticated multimodal autoregressive diffusion transformer, it integrates various inputs into a common spatial framework while predicting subsequent elements and ensuring coherence in 3D with its observations and creative visions. This powerful model facilitates world generation, reconstruction, and simulation across diverse applications. It possesses the capability to produce images and videos based on one or multiple reference images, offering precise camera control to yield lengthy and coherent videos following custom-designed camera trajectories. In terms of spatial reconstruction, Atlas excels at reimagining real-world environments from limited input images, allowing it to generate unique perspectives and deliver explicit 3D outputs like point clouds and 3D Gaussian splats. With the addition of more input views, the model can further enhance context, leading to increasingly accurate reconstructions with less reliance on imagination. Furthermore, Atlas also analyzes and predicts the evolution of worlds over time, adding a dynamic layer to its capabilities.

Description

This system utilizes a sophisticated multi-stage diffusion model for converting text descriptions into corresponding video content, exclusively processing input in English. The framework is composed of three interconnected sub-networks: one for extracting text features, another for transforming these features into a video latent space, and a final network that converts the latent representation into a visual video format. With approximately 1.7 billion parameters, this model is designed to harness the capabilities of the Unet3D architecture, enabling effective video generation through an iterative denoising method that begins with pure Gaussian noise. This innovative approach allows for the creation of dynamic video sequences that accurately reflect the narratives provided in the input descriptions.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

01.AI No 
CodeQwen No 
Qwen No 
Qwen 4 No 
Qwen-7B No 
Qwen-Image No 
Qwen2-VL No 
Qwen2.5 No 
Qwen2.5-1M No 
Qwen2.5-Coder No 
Qwen3.6 No 
Qwen3.6-Max-Preview No 
Qwen3.7-Max No 
Qwen3.8-2.4T-A95B No 
Qwen3.8-Flash-Next No 
Qwen3.8-Max No 
Qwen3.8-Omni-Flash No 
Step 3.5 Flash No 
Step 5 Preview No 
Yi-Large No 

Integrations

01.AI Yes 
CodeQwen Yes 
Qwen Yes 
Qwen 4 Yes 
Qwen-7B Yes 
Qwen-Image Yes 
Qwen2-VL Yes 
Qwen2.5 Yes 
Qwen2.5-1M Yes 
Qwen2.5-Coder Yes 
Qwen3.6 Yes 
Qwen3.6-Max-Preview Yes 
Qwen3.7-Max Yes 
Qwen3.8-2.4T-A95B Yes 
Qwen3.8-Flash-Next Yes 
Qwen3.8-Max Yes 
Qwen3.8-Omni-Flash Yes 
Step 3.5 Flash Yes 
Step 5 Preview Yes 
Yi-Large Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

World Labs

Founded

2024

Country

United States

Website

www.worldlabs.ai/blog/atlas

Vendor Details

Company Name

Alibaba Cloud

Country

China

Website

modelscope.cn/

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