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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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.

Description

ONNX provides a standardized collection of operators that serve as the foundational elements for machine learning and deep learning models, along with a unified file format that allows AI developers to implement models across a range of frameworks, tools, runtimes, and compilers. You can create in your desired framework without being concerned about the implications for inference later on. With ONNX, you have the flexibility to integrate your chosen inference engine seamlessly with your preferred framework. Additionally, ONNX simplifies the process of leveraging hardware optimizations to enhance performance. By utilizing ONNX-compatible runtimes and libraries, you can achieve maximum efficiency across various hardware platforms. Moreover, our vibrant community flourishes within an open governance model that promotes transparency and inclusivity, inviting you to participate and make meaningful contributions. Engaging with this community not only helps you grow but also advances the collective knowledge and resources available to all.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

01.AI
Azure SQL Edge
CodeQwen
Flyte
Groq
Intel Open Edge Platform
LaunchX
ML.NET
OpenVINO
Qualcomm AI Hub
Qwen
Qwen2
Qwen2-VL
Qwen2.5
Qwen2.5-1M
Qwen2.5-Max
Qwen2.5-VL
Qwen3
SiMa
Yi-Large

Integrations

01.AI
Azure SQL Edge
CodeQwen
Flyte
Groq
Intel Open Edge Platform
LaunchX
ML.NET
OpenVINO
Qualcomm AI Hub
Qwen
Qwen2
Qwen2-VL
Qwen2.5
Qwen2.5-1M
Qwen2.5-Max
Qwen2.5-VL
Qwen3
SiMa
Yi-Large

Pricing Details

Free
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Alibaba Cloud

Country

China

Website

modelscope.cn/

Vendor Details

Company Name

ONNX

Website

onnx.ai/

Product Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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