Autoencoders

11.7K
83
14.0B
license:apache-2.0
by
lightx2v
Other
OTHER
14B params
Fair
12K downloads
Community-tested
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Edge AI:
Mobile
Laptop
Server
32GB+ RAM
Mobile
Laptop
Server
Quick Summary

⚡ Efficient Video Autoencoder (VAE) Model Collection From Official Models to Lightx2v Distilled Optimized Versions - Balancing Quality, Speed and Memory [](https://huggingface.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
14GB+ RAM

Code Examples

bash
git clone https://github.com/ModelTC/LightX2V.git
cd LightX2V
bash
git clone https://github.com/ModelTC/LightX2V.git
cd LightX2V
bash
python -m lightx2v.models.video_encoders.hf.vid_recon \
    input_video.mp4 \
    --checkpoint ./models/vae/Wan2.1_VAE.pth \
    --model_type vaew2_1 \
    --device cuda \
    --dtype bfloat16
bash
python -m lightx2v.models.video_encoders.hf.vid_recon \
    input_video.mp4 \
    --checkpoint ./models/vae/Wan2.1_VAE.pth \
    --model_type vaew2_1 \
    --device cuda \
    --dtype bfloat16
bash
cd LightX2V/scripts
bash wan/run_wan_i2v.sh  # or other inference scripts
bash
cd LightX2V/scripts
bash wan/run_wan_i2v.sh  # or other inference scripts

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