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features
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support

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Description

Marengo is an advanced multimodal model designed to convert video, audio, images, and text into cohesive embeddings, facilitating versatile “any-to-any” capabilities for searching, retrieving, classifying, and analyzing extensive video and multimedia collections. By harmonizing visual frames that capture both spatial and temporal elements with audio components—such as speech, background sounds, and music—and incorporating textual elements like subtitles and metadata, Marengo crafts a comprehensive, multidimensional depiction of each media asset. With its sophisticated embedding framework, Marengo is equipped to handle a variety of demanding tasks, including diverse types of searches (such as text-to-video and video-to-audio), semantic content exploration, anomaly detection, hybrid searching, clustering, and recommendations based on similarity. Recent iterations have enhanced the model with multi-vector embeddings that distinguish between appearance, motion, and audio/text characteristics, leading to marked improvements in both accuracy and contextual understanding, particularly for intricate or lengthy content. This evolution not only enriches the user experience but also broadens the potential applications of the model in various multimedia industries.

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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

01.AI
GLM-4.5
Qwen
Qwen-7B
Qwen-Image
Qwen2
Qwen2-VL
Qwen2.5
Qwen2.5-1M
Qwen2.5-Coder
Qwen2.5-Max
Qwen2.5-VL
Qwen3
Qwen3.6
Qwen3.6-27B
Qwen3.6-35B-A3B
Qwen3.6-Max-Preview
Step 3.5 Flash
TwelveLabs
Yi-Large

Integrations

01.AI
GLM-4.5
Qwen
Qwen-7B
Qwen-Image
Qwen2
Qwen2-VL
Qwen2.5
Qwen2.5-1M
Qwen2.5-Coder
Qwen2.5-Max
Qwen2.5-VL
Qwen3
Qwen3.6
Qwen3.6-27B
Qwen3.6-35B-A3B
Qwen3.6-Max-Preview
Step 3.5 Flash
TwelveLabs
Yi-Large

Pricing Details

$0.042 per minute
Free Trial
Free Version

Pricing Details

Free
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

TwelveLabs

Founded

2021

Country

United States

Website

www.twelvelabs.io/product/models-overview#marengo

Vendor Details

Company Name

Alibaba Cloud

Country

China

Website

modelscope.cn/

Product Features

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