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Description
Wan2.2 marks a significant enhancement to the Wan suite of open video foundation models by incorporating a Mixture-of-Experts (MoE) architecture that separates the diffusion denoising process into high-noise and low-noise pathways, allowing for a substantial increase in model capacity while maintaining low inference costs. This upgrade leverages carefully labeled aesthetic data that encompasses various elements such as lighting, composition, contrast, and color tone, facilitating highly precise and controllable cinematic-style video production. With training on over 65% more images and 83% more videos compared to its predecessor, Wan2.2 achieves exceptional performance in the realms of motion, semantic understanding, and aesthetic generalization. Furthermore, the release features a compact TI2V-5B model that employs a sophisticated VAE and boasts a remarkable 16×16×4 compression ratio, enabling both text-to-video and image-to-video synthesis at 720p/24 fps on consumer-grade GPUs like the RTX 4090. Additionally, prebuilt checkpoints for T2V-A14B, I2V-A14B, and TI2V-5B models are available, ensuring effortless integration into various projects and workflows. This advancement not only enhances the capabilities of video generation but also sets a new benchmark for the efficiency and quality of open video models in the industry.
Description
Wan3.0-Video is an integrated video generation tool from Qwen Cloud that consolidates a variety of creative functionalities within a single platform, such as converting text to video, transforming images into video, and creating videos based on references, along with editing, duplication, and motion guidance. This model accommodates various inputs including audio, images, text, and videos, enabling creators to influence the generation process with diverse source materials beyond mere text prompts. Capable of producing videos that last up to 30 seconds, it offers omni-modal reference support, which enhances user flexibility by allowing the incorporation of visual elements, movement, characters, and other artistic cues into the final product. Additionally, Wan3.0-Video can analyze files, web pages, and intricate images as part of its creation process. Its image-to-video features encompass both first-frame and first-and-last-frame generation, enabling users to control the initiation of a sequence or anchor both ends of a shot, thus enhancing the storytelling potential of the videos produced. Furthermore, this comprehensive model opens up new avenues for creativity by allowing seamless integration of different media types into the video production process.
API Access
Has API
API Access
Has API
Integrations
AIReel
ComfyUI
Fuser
Lucy Edit AI
QwenCloud
SiliconFlow
Wan AI
WaveSpeedAI
graphis
Integrations
AIReel
ComfyUI
Fuser
Lucy Edit AI
QwenCloud
SiliconFlow
Wan AI
WaveSpeedAI
graphis
Pricing Details
Free
Free Trial
Free Version
Pricing Details
$0.05 per second
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
Founded
1999
Country
China
Website
wan.video
Vendor Details
Company Name
Alibaba
Founded
1999
Country
China
Website
www.qwencloud.com/models/wan3.0-video