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Models/Video/Hunyuan Video (Open Source)
Tencent logoTencent·Video GenerationOpen weights

Hunyuan Video (Open Source)

View rankingsHugging Facegithub.com
AA Image→Video#77
Parameters13B
ReleasedDec 2024

Hunyuan Video is an open-source video generation model developed by Tencent, designed to produce high-quality, temporally consistent videos from textual descriptions. It is built on a Diffusion Transformer (DiT) architecture and is capable of generating cinematic-quality videos with smooth motion and strong semantic alignment.

Technical Architecture

The model features a 13 billion parameter transformer backbone and a specialized 3D Variational Autoencoder (VAE). This architecture allows for efficient compression of video data into a latent space while maintaining high fidelity in both spatial and temporal dimensions. Additionally, the model utilizes a Multimodal Large Language Model (MLLM) text encoder, which improves its ability to interpret complex prompts and maintain high text-to-video alignment compared to traditional T5 or CLIP encoders.

Capabilities

Hunyuan Video generates content at resolutions up to 720p and supports various aspect ratios. It is noted for its ability to handle complex motions, such as camera movements and sequential actions, while adhering to physical laws. The model was released under the Tencent Hunyuan Community License to support research and creative applications in large-scale video synthesis.

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How Hunyuan Video (Open Source) ranks

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