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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

CogVideoX-3 is an advanced video generation model that enhances frame creation, resulting in improved image clarity and stability. It excels in scenarios involving fast-moving subjects, follows instructions more accurately, and offers highly realistic video simulations. The model accommodates various input types including images, text, and start-and-end-frame sequences, producing video outputs, which broadens its application in text-to-video, image-to-video, and transitional video processes. This versatility makes CogVideoX-3 particularly valuable for advertising and marketing, enabling users to input product visuals or marketing copy to swiftly generate engaging ads in diverse styles, while also supporting realistic lighting and seamless scene transitions. Additionally, it facilitates the production of short videos by transforming single-frame images or written scripts into fluid, naturally animated clips, available in both realistic and 3D formats. For tourism marketing, users can simply upload scenic photographs along with promotional text to create captivating short videos that enhance the appeal of travel destinations, effectively drawing in potential visitors. Ultimately, CogVideoX-3 empowers creators across various industries to produce high-quality video content with ease.

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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

01.AI No 
CodeQwen No 
GLM-4.5 No 
Qwen No 
Qwen 4 No 
Qwen-7B No 
Qwen-Image No 
Qwen2 No 
Qwen2-VL No 
Qwen2.5 No 
Qwen2.5-Coder No 
Qwen2.5-VL No 
Qwen3 No 
Qwen3.6-27B No 
Qwen3.6-Max-Preview No 
Qwen3.7-Plus No 
Qwen3.8-2.4T-A95B No 
Qwen3.8-Max No 
Step 3.5 Flash No 
Yi-Large No 

Integrations

01.AI Yes 
CodeQwen Yes 
GLM-4.5 Yes 
Qwen Yes 
Qwen 4 Yes 
Qwen-7B Yes 
Qwen-Image Yes 
Qwen2 Yes 
Qwen2-VL Yes 
Qwen2.5 Yes 
Qwen2.5-Coder Yes 
Qwen2.5-VL Yes 
Qwen3 Yes 
Qwen3.6-27B Yes 
Qwen3.6-Max-Preview Yes 
Qwen3.7-Plus Yes 
Qwen3.8-2.4T-A95B Yes 
Qwen3.8-Max Yes 
Step 3.5 Flash Yes 
Yi-Large Yes 

Pricing Details

$0.2 per video
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

Z.ai

Founded

2019

Country

China

Website

docs.z.ai/guides/video/cogvideox-3

Vendor Details

Company Name

Alibaba Cloud

Country

China

Website

modelscope.cn/

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