ModelTC/QVGen

[ICLR 2026] This is the official PyTorch implementation of "QVGen: Pushing the Limit of Quantized Video Generative Models".

27
/ 100
Experimental

QVGen helps professionals working with AI models to create high-quality videos from text or other inputs, even when computational resources are limited. It takes a base video generation model and optimizes it to produce clear, consistent video outputs using significantly less processing power. This is ideal for AI researchers or MLOps engineers deploying video generation capabilities.

Use this if you need to run video generative AI models efficiently on hardware with constrained memory or processing capabilities, without sacrificing video quality.

Not ideal if you are a casual user looking for a ready-to-use video generation app, as this is a technical implementation for optimizing underlying models.

video-generation AI-model-deployment resource-optimization machine-learning-engineering computer-vision
No Package No Dependents
Maintenance 10 / 25
Adoption 6 / 25
Maturity 11 / 25
Community 0 / 25

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24

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Language

Python

License

Apache-2.0

Last pushed

Feb 11, 2026

Commits (30d)

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