File size: 7,063 Bytes
0d93ed2 1dc19fc e05aadd 1dc19fc e05aadd 1dc19fc e05aadd 1dc19fc 0d93ed2 7ac522b 0d93ed2 e05aadd 1dc19fc e05aadd 0d93ed2 1dc19fc 0d93ed2 556171f 0d93ed2 e05aadd 0d93ed2 e05aadd 0d93ed2 e05aadd 0d93ed2 e05aadd 0d93ed2 e05aadd 1dc19fc 0d93ed2 4887ea5 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 |
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Wan 2.2 - Advanced Video Generation by Alibaba Tongyi Lab</title>
<meta name="description" content="Wan 2.2: Open and Advanced Large-Scale Video Generative Models by Alibaba Tongyi Lab. Featuring MoE architecture, cinematic-level aesthetics, and complex motion generation." />
<meta name="keywords" content="Wan 2.2, Alibaba, Tongyi Lab, Video Generation, AI Models, Text-to-Video, Image-to-Video, WaveSpeedAI, MoE, Video AI" />
<!-- Open Graph / Social Media Meta Tags -->
<meta property="og:title" content="Wan 2.2 - Advanced Video Generation by Alibaba Tongyi Lab" />
<meta property="og:description" content="Experience the next generation of video AI with Wan 2.2, developed by Alibaba Tongyi Lab" />
<meta property="og:type" content="website" />
<meta property="og:url" content="https://wavespeed.ai/collections/wan-2-2" />
<!-- Additional Meta Information -->
<meta name="author" content="Alibaba Tongyi Lab" />
<meta name="robots" content="index, follow" />
<link rel="canonical" href="https://wavespeed.ai/collections/wan-2-2" />
<link rel="stylesheet" href="style.css" />
<meta http-equiv="refresh" content="10;url=https://wavespeed.ai/collections/wan-2-2" />
</head>
<body>
<nav class="top-nav">
<div class="nav-content">
<div class="nav-logo">WAN</div>
<div class="nav-links">
<a href="https://wavespeed.ai/collections/wan-2-2" class="nav-link" target="_blank" rel="noopener noreferrer">Home</a>
<a href="https://wavespeed.ai/docs" class="nav-link" target="_blank" rel="noopener noreferrer">Documentation</a>
<a href="https://wavespeed.ai/blog" class="nav-link" target="_blank" rel="noopener noreferrer">Blog</a>
<a href="https://wavespeed.ai/collections/wan-2-2" class="nav-button" target="_blank" rel="noopener noreferrer">Visit WaveSpeedAI →</a>
</div>
</div>
</nav>
<div class="container">
<div class="content">
<div class="logo-section">
<h1>Wan 2.2</h1>
<p class="subtitle">By Alibaba Tongyi Lab</p>
</div>
<div class="announcement-section">
<p class="announcement">Wan 2.2 is now available on WaveSpeedAI!</p>
<div class="divider"></div>
<p class="description">Open and Advanced Large-Scale Video Generative Models</p>
</div>
<div class="features-section">
<div class="feature">
<h3>🚀 Effective MoE Architecture</h3>
<p>Advanced Mixture-of-Experts architecture separates denoising process with specialized expert models, enlarging model capacity while maintaining computational cost</p>
</div>
<div class="feature">
<h3>🎯 Cinematic-level Aesthetics</h3>
<p>Meticulously curated aesthetic data with detailed labels for lighting, composition, contrast, and color tone for precise and controllable cinematic style generation</p>
</div>
<div class="feature">
<h3>🌟 Complex Motion Generation</h3>
<p>Trained on +65.6% more images and +83.2% more videos, achieving superior performance in motions, semantics, and aesthetics</p>
</div>
</div>
<div class="models-section">
<h3 class="models-title">Model Downloads</h3>
<div class="models-grid">
<div class="model-category">
<h4>Text to Video Models</h4>
<div class="model-links">
<a href="https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B" target="_blank" rel="noopener noreferrer" class="model-link">
<span class="model-name">T2V-A14B</span>
<span class="model-tag">Base</span>
</a>
<a href="https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B-Diffusers" target="_blank" rel="noopener noreferrer" class="model-link">
<span class="model-name">T2V-A14B</span>
<span class="model-tag">Diffusers</span>
</a>
</div>
</div>
<div class="model-category">
<h4>Image to Video Models</h4>
<div class="model-links">
<a href="https://huggingface.co/Wan-AI/Wan2.2-I2V-A14B" target="_blank" rel="noopener noreferrer" class="model-link">
<span class="model-name">I2V-A14B</span>
<span class="model-tag">Base</span>
</a>
<a href="https://huggingface.co/Wan-AI/Wan2.2-I2V-A14B-Diffusers" target="_blank" rel="noopener noreferrer" class="model-link">
<span class="model-name">I2V-A14B</span>
<span class="model-tag">Diffusers</span>
</a>
</div>
</div>
</div>
<div class="model-highlight">
<h4>Efficient High-Definition Hybrid TI2V</h4>
<p>5B model with advanced Wan2.2-VAE achieving 16×16×4 compression ratio. Supports both text-to-video and image-to-video generation at 720P resolution with 24fps.</p>
<div class="highlight-links">
<a href="https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B" target="_blank" rel="noopener noreferrer" class="highlight-link">
<span>TI2V-5B Base</span>
</a>
<a href="https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B-Diffusers" target="_blank" rel="noopener noreferrer" class="highlight-link">
<span>TI2V-5B Diffusers</span>
</a>
</div>
</div>
</div>
<div class="redirect-section">
<p class="redirect-text">Redirecting to WaveSpeedAI...</p>
<div class="progress-bar">
<div class="progress"></div>
</div>
<a href="https://wavespeed.ai/collections/wan-2-2" class="cta-button" target="_blank" rel="noopener noreferrer">Visit Now →</a>
<p class="huggingface-link">
Also available on <a href="https://huggingface.co/Wan-AI" target="_blank" rel="noopener noreferrer">Hugging Face</a>
</p>
</div>
</div>
</div>
</body>
</html>
|