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What is Wan2.2?

Wan2.2 represents a major upgrade to the Wan collection of open video foundation models by implementing a Mixture-of-Experts (MoE) architecture that differentiates the diffusion denoising process into distinct pathways for high and low noise, which significantly boosts model capacity while keeping inference costs low. This improvement utilizes meticulously labeled aesthetic data that includes factors like lighting, composition, contrast, and color tone, enabling the production of cinematic-style videos with high precision and control. With a training dataset that includes over 65% more images and 83% more videos than its predecessor, Wan2.2 excels in areas such as motion representation, semantic comprehension, and aesthetic versatility. In addition, the release introduces a compact TI2V-5B model that features an advanced VAE and achieves a remarkable compression ratio of 16×16×4, allowing for both text-to-video and image-to-video synthesis at 720p/24 fps on consumer-grade GPUs like the RTX 4090. Prebuilt checkpoints for the T2V-A14B, I2V-A14B, and TI2V-5B models are also provided, making it easy to integrate these advancements into a variety of projects and workflows. This development not only improves video generation capabilities but also establishes a new standard for the performance and quality of open video models within the industry, showcasing the potential for future innovations in video technology.

What is FLUX 3?

FLUX 3 is a state-of-the-art multimodal foundation model that seamlessly combines learning from images, videos, and audio within a unified framework, adeptly capturing the relationships between objects, the dynamics of motion, and the sounds produced by various events. Through the innovative Self-Flow methodology, it synchronizes the generation and interpretation of diverse modalities in a single architecture, ensuring a reciprocal influence among them—where sounds reflect impacts, movements follow physical principles, and future actions are shaped by previous experiences. This model excels in merging different modalities, enabling the concurrent generation of images, videos, and realistic audio in response to text prompts or visual and auditory references. Its capabilities in video production are remarkable, offering features such as text-to-video transformations, image-based video animations, video editing, generative extensions for both video and audio, precise control over transitions with keyframes, support for multilingual dialogue, dynamic text animations, and the ability to produce content in various styles and aspect ratios, including complex multi-shot sequences with agentic chaining. Furthermore, FLUX 3 marks a substantial advancement in multimodal AI, granting unprecedented opportunities for creativity and flexibility in crafting immersive, interactive content that engages users on multiple sensory levels. This innovative model not only enhances content creation but also opens new avenues for applications across industries, making it a pivotal tool in the evolution of artificial intelligence.

Media

Media

Integrations Supported

AIReel
ComfyUI
Fuser
Lucy Edit AI
SiliconFlow
Wan AI
WaveSpeedAI
graphis

Integrations Supported

Collart AI
FLUX 3 Image
FLUX Upscale

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

wan.video

Company Facts

Organization Name

Black Forest Labs

Date Founded

2024

Company Location

Germany

Company Website

bfl.ai/

Categories and Features

AI Models

Not specified

AI Video Generators

Not specified

AI Video Models

Not specified

Categories and Features

AI Image Models

Not specified

AI Video Models

Not specified

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