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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

In recent weeks, we have been truly grateful for the overwhelming response and have dedicated ourselves to ensuring a responsible and secure launch, using insights gained from our beta testing and community feedback for our developers to implement. Collaborating closely with the relentless legal, ethics, and technology teams at HuggingFace, along with the exceptional engineers at CoreWeave, we have created a built-in AI Safety Classifier as part of the software package. This classifier is designed to comprehend various concepts and factors during content generation, enabling it to filter out outputs that may not align with user expectations. Users can easily adjust the parameters of this feature, and we actively encourage community suggestions for enhancements. While image generation models possess significant capabilities, there remains a need for continual advancement in accurately representing our desired outcomes. Ultimately, our goal is to refine these tools further, ensuring they meet the evolving needs of users effectively.

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.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Fuser
Amaro
Anything
Artimator
Database Mart
FY! Studio
Graydient AI
ImageGPT.io
Jottingly AI
Logomark AI
Magica
MimicPC
MindMac
MindOne
NVIDIA Brev
Perfekt Prompt
Pinokio
PromptHero
SydeLabs
Waifu Diffusion

Integrations

Fuser
Amaro
Anything
Artimator
Database Mart
FY! Studio
Graydient AI
ImageGPT.io
Jottingly AI
Logomark AI
Magica
MimicPC
MindMac
MindOne
NVIDIA Brev
Perfekt Prompt
Pinokio
PromptHero
SydeLabs
Waifu Diffusion

Pricing Details

$0.2 per image
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

Stability AI

Country

United Kingdom

Website

stability.ai/blog/stable-diffusion-public-release

Vendor Details

Company Name

Alibaba

Founded

1999

Country

China

Website

wan.video

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