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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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Cirrascale No 
Flyte No 
Groq No 
Higson No 
Intel Open Edge Platform No 
Qualcomm AI Hub No 
Qwen Yes 
Qwen 4 Yes 
Qwen-Image Yes 
Qwen2.5-1M Yes 
Qwen2.5-Coder Yes 
Qwen2.5-Max Yes 
Qwen3 Yes 
Qwen3.6-35B-A3B Yes 
Qwen3.7-Max Yes 
Qwen3.8-2.4T-A95B Yes 
Qwen3.8-27B Yes 
Qwen3.8-Flash-Next Yes 
Qwen3.8-Max Yes 
Yi-Large Yes 

Integrations

Cirrascale Yes 
Flyte Yes 
Groq Yes 
Higson Yes 
Intel Open Edge Platform Yes 
Qualcomm AI Hub Yes 
Qwen No 
Qwen 4 No 
Qwen-Image No 
Qwen2.5-1M No 
Qwen2.5-Coder No 
Qwen2.5-Max No 
Qwen3 No 
Qwen3.6-35B-A3B No 
Qwen3.7-Max No 
Qwen3.8-2.4T-A95B No 
Qwen3.8-27B No 
Qwen3.8-Flash-Next No 
Qwen3.8-Max No 
Yi-Large No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version 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 

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 No 

Customer Support

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

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

Alibaba Cloud

Country

China

Website

modelscope.cn/

Vendor Details

Company Name

ONNX

Website

onnx.ai/

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

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