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Description

CogVideoX serves as a powerful tool for generating videos from text inputs. Prior to executing the model, it is essential to consult this guide to understand how we utilize the GLM-4 model for prompt optimization. This step is vital since the model performs best with extended prompts, and crafting an effective prompt has a significant impact on the quality of the resultant video. The guide includes both the inference code and the fine-tuning code for SAT weights, with recommendations to enhance it based on the framework of the CogVideoX model. Enterprising researchers leverage this code to advance their rapid development and stacking capabilities. In a captivating scene, a meticulously crafted wooden toy ship, featuring detailed masts and sails, sails gracefully over a soft, blue carpet designed to mimic the ocean's waves. The ship's hull boasts a deep brown hue adorned with tiny, intricate windows. The invitingly plush carpet serves as an ideal setting, evoking the vastness of the sea, while various toys and children's belongings scattered around further suggest a lively and imaginative atmosphere. This imaginative scenario not only showcases the capabilities of CogVideoX but also highlights the importance of a well-structured prompt in creating engaging visual narratives.

Description

Most AI video tools hand you a black box: closed weights, a subscription, and no way to see what is happening under the hood. LTX takes the opposite approach. Built by Lightricks, LTX is an open foundation model that generates and simulates across video, audio, and the physical world, and it puts the weights, the code, and the control in your hands. At the center of the model is LTX-2.5, a 22B-parameter dual-stream diffusion transformer that produces native 4K video at up to 50 frames per second, with audio and video generated together in a single pass rather than stitched together afterward. Artificial Analysis, an independent benchmarking group, currently ranks LTX among the top three AI video models in the world. You choose how you want to use it. Download the open weights and run LTX-2.5 on your own hardware. License the model for on-premise deployment backed by enterprise support. Or build directly on LTX Studio, the production suite that turns the model into a full creative workflow. Companies like ElevenLabs, Asteria Film Co., Magnopus, and NVIDIA already rely on LTX for their own work. LTX is not built for one-off social clips. It is infrastructure for teams that generate motion, audio, and physical environments as part of their own products and pipelines.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Comfy Cloud No 
ComfyUI No 
GitHub No 
Hugging Face No 
LTX-2.3 No 
LTX-2.5 No 
LTXV No 
Python No 
RunDiffusion No 
fal No 

Integrations

Comfy Cloud Yes 
ComfyUI Yes 
GitHub Yes 
Hugging Face Yes 
LTX-2.3 Yes 
LTX-2.5 Yes 
LTXV Yes 
Python Yes 
RunDiffusion Yes 
fal Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

$0
Open weights: free for research, and free for commercial use for companies under $10M ARR

API: usage-based pricing, managed endpoints, no infrastructure overhead

Licensing: full commercial license for on-premise deployment, enterprise support included
Free Trial No 
Free Version Yes 

Deployment

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

Deployment

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

CogVideoX

Website

github.com/zai-org/CogVideo

Vendor Details

Company Name

Lightricks

Founded

2013

Country

United States

Website

ltx.io

Product Features

AI Video Editors

LTX is not your typical video editing software that follows a timeline format. Instead, it serves as a foundational model for generative video editing applications. The latest version, LTX-2.5, comes with a desktop application that allows for complete local inference. Its advanced reframing capability enables users to expand video beyond its initial frame while maintaining the integrity of composition, motion, and visual elements, making it an excellent addition to any editing process. If you're in search of a conventional cut-and-trim editing tool, LTX won't meet those needs. However, if you're interested in incorporating AI-generated visuals, audio, or reframing into your own editing workflow using your own hardware, LTX-2.5 provides the open model necessary for that development.

AI Video Generators

The LTX-2.5 is capable of producing native 4K video at rates of up to 50 frames per second, seamlessly integrating audio and video in a single pass instead of combining them afterward. This model is constructed on a dual-stream diffusion transformer featuring 22 billion parameters, allowing for bidirectional cross-attention between audio and video channels. According to independent evaluations by Artificial Analysis, LTX is recognized as one of the top three AI video models worldwide. Users have the option to download open weights for local execution, obtain a license for on-premise deployment with enterprise-level assistance, or utilize LTX Studio, a comprehensive production suite tailored for creative teams. Esteemed organizations such as ElevenLabs, Asteria Film Co., Magnopus, and NVIDIA are currently utilizing LTX for their video generation needs. This model is specifically designed for AI teams creating dynamic animations and realistic environments within their workflows, rather than for casual social media clips.

Artificial Intelligence

LTX is a pioneering open foundation model designed for video, audio, and world simulation, developed by Lightricks. The latest version, LTX-2.5, boasts a remarkable 22 billion parameters and features a dual-stream diffusion transformer that allows for the creation of synchronized audio and video in a single processing step, achieving native 4K resolution at a rate of up to 50 frames per second. Independent evaluations by Artificial Analysis have placed LTX among the top three AI models worldwide for video generation. In contrast to proprietary AI systems, LTX provides open weights, enabling users to download, examine, customize, and operate the model on their own equipment without vendor lock-in or per-generation fees. This flexibility makes LTX a valuable tool for enterprises, researchers, developers, and production studios, facilitating the integration of video, audio, and simulation functionalities into a diverse array of applications, ranging from entertainment and gaming to robotics and physical AI.

Chatbot No 
For Healthcare Yes 
For Sales Yes 
For eCommerce Yes 
Image Recognition Yes 
Machine Learning Yes 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Multimedia

LTX is an advanced multimodal foundation model designed to operate seamlessly across video, audio, and real-world simulations, eliminating the need for separate tools for each media type. With LTX-2.5, users can generate synchronized audio and video in a single operation at an impressive native 4K resolution, ensuring that sound and visuals remain perfectly aligned without the need for post-production adjustments. The model's weights and code are entirely open-source, allowing users to customize LTX according to their specific audio and visual intellectual property and deploy it on their own hardware. This versatility makes LTX a valuable asset for a variety of sectors, including entertainment studios, XR and virtual production teams, as well as companies involved in robotics and simulation, all of which can utilize the same foundational model to create comprehensive multimedia workflows.

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