Autoencoders EU AI Act Compliance Profile

🎨 LightVAE

⚡ Efficient Video Autoencoder (VAE) Model Collection

From Official Models to Lightx2v Distilled Optimized Versions - Balancing Quality, Speed and Memory

For VAE, the LightX2V team has conducted a series of deep optimizations, deriving two major series: LightVAE and LightTAE, which significantly reduce memory consumption and improve inference speed while maintaining high quality.

💡 Core Advantages

📊 Official VAE

Features: Highest Quality ⭐⭐⭐⭐⭐

✅ Best reconstruction accuracy
✅ Complete detail preservation
❌ Large memory usage (~8-12 GB)
❌ Slow inference speed

🚀 Open Source TAE Series

Features: Fastest Speed ⚡⚡⚡⚡⚡

✅ Minimal memory usage (~0.4 GB)
✅ Extremely fast inference
❌ Average quality ⭐⭐⭐
❌ Potential detail loss

🎯 LightVAE Series (Our Optimization)

Features: Best Balanced Solution ⚖️

✅ Uses Causal 3D Conv (same as official)
✅ Quality close to official ⭐⭐⭐⭐
✅ Memory reduced by ~50% (~4-5 GB)
✅ Speed increased by 2-3x
✅ Balances quality, speed, and memory 🏆

⚡ LightTAE Series (Our Optimization)

Features: Fast Speed + Good Quality 🏆

✅ Minimal memory usage (~0.4 GB)
✅ Extremely fast inference
✅ Quality close to official ⭐⭐⭐⭐
✅ Significantly surpasses open source TAE

📦 Available Models

🎯 Wan2.1 Series VAE

| Model Name | Type | Architecture | Description | |:

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Base Model