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ease
features
design
support

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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

The NVIDIA Synthetic Video Detector is an advanced microservice powered by AI, specifically created to assess whether a video is genuine or generated by artificial intelligence. Its primary focus is on content generated through diffusion models, making it particularly suitable for applications in media authentication, digital forensics, content verification, broadcast processes, and ensuring the integrity of media. The tool evaluates MP4 video inputs and provides a prediction for each individual frame on a continuum from 0 to 1; where values leaning towards 0 suggest authenticity and those nearing 1 indicate synthetic origins. Furthermore, it is engineered to maintain its effectiveness even under typical video compression scenarios, which helps in sustaining reliable detection capabilities after the footage has undergone processing or distribution via standard media channels. Utilizing a Vision Transformer architecture that incorporates an ensemble of DINOv2 and DINOv3 backbones, it adeptly merges visual representations to differentiate between real and artificially created video content. Input frames are resized to 504 x 504 pixels and subjected to normalization prior to the inference process, ensuring optimal performance in the analysis. This sophisticated approach enables a robust assessment of video authenticity, making it a vital tool in the evolving landscape of digital media verification.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

01.AI
CodeQwen
GLM-4.5
Qwen
Qwen-Image
Qwen2-VL
Qwen2.5-1M
Qwen2.5-Coder
Qwen2.5-Max
Qwen2.5-VL
Qwen3.6
Qwen3.6-35B-A3B
Qwen3.6-Max-Preview
Qwen3.7-Max
Qwen3.7-Plus
Qwen3.8-27B
Qwen3.8-Flash-Next
Qwen3.8-Max
Qwen3.8-Omni-Flash
Step 3.5 Flash

Integrations

01.AI
CodeQwen
GLM-4.5
Qwen
Qwen-Image
Qwen2-VL
Qwen2.5-1M
Qwen2.5-Coder
Qwen2.5-Max
Qwen2.5-VL
Qwen3.6
Qwen3.6-35B-A3B
Qwen3.6-Max-Preview
Qwen3.7-Max
Qwen3.7-Plus
Qwen3.8-27B
Qwen3.8-Flash-Next
Qwen3.8-Max
Qwen3.8-Omni-Flash
Step 3.5 Flash

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

NVIDIA

Founded

1993

Country

United States

Website

build.nvidia.com/nvidia/synthetic-video-detector

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