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What is Seaweed?

Seaweed, an innovative AI video generation model developed by ByteDance, utilizes a diffusion transformer architecture with approximately 7 billion parameters and has been trained using computational resources equivalent to 1,000 H100 GPUs. This sophisticated system is engineered to understand world representations by leveraging vast multi-modal datasets that include video, image, and text inputs, enabling it to produce videos in various resolutions, aspect ratios, and lengths solely from textual descriptions. One of Seaweed's remarkable features is its proficiency in creating lifelike human characters capable of performing a wide range of actions, gestures, and emotions, alongside intricately detailed landscapes characterized by dynamic compositions. Additionally, the model offers users advanced control features, allowing them to generate videos that begin with initial images to ensure consistency in motion and aesthetic throughout the clips. It can also condition on both the opening and closing frames to create seamless transition videos and has the flexibility to be fine-tuned for content generation based on specific reference images, thus enhancing its effectiveness and versatility in the realm of video production. Consequently, Seaweed exemplifies a groundbreaking advancement at the convergence of artificial intelligence and creative video creation, making it a powerful tool for various artistic applications. This evolution not only showcases technological prowess but also opens new avenues for creators seeking to explore the boundaries of visual storytelling.

What is ModelScope?

This advanced system employs a complex multi-stage diffusion model to translate English text descriptions into corresponding video outputs. It consists of three interlinked sub-networks: the first extracts features from the text, the second translates these features into a latent space for video, and the third transforms this latent representation into a final visual video format. With around 1.7 billion parameters, the model leverages the Unet3D architecture to facilitate effective video generation through a process of iterative denoising that starts with pure Gaussian noise. This cutting-edge methodology enables the production of engaging video sequences that faithfully embody the stories outlined in the input descriptions, showcasing the model's ability to capture intricate details and maintain narrative coherence throughout the video. Furthermore, this system opens new avenues for creative expression and storytelling in digital media.

Media

Media

Integrations Supported

Integrations Supported

CodeQwen
GLM-4.5
Qwen
Qwen 4
Qwen-7B
Qwen-Image
Qwen2
Qwen2.5
Qwen2.5-Max
Qwen3
Qwen3.6
Qwen3.6-27B
Qwen3.6-35B-A3B
Qwen3.7-Plus
Qwen3.8-2.4T-A95B
Qwen3.8-27B
Qwen3.8-Flash-Next
Qwen3.8-Max
Qwen3.8-Omni-Flash
Step 5 Preview

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

ByteDance

Date Founded

2012

Company Location

China

Company Website

seaweed.video/

Company Facts

Organization Name

Alibaba Cloud

Company Location

China

Company Website

modelscope.cn/

Categories and Features

AI Models

Not specified

AI Video Generators

Not specified

AI Video Models

Not specified

Categories and Features

AI Gateways

Not specified

AI Inference

Not specified

AI Tools

Not specified

AI Video Generators

Not specified

ML Model Deployment

Not specified

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