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HunyuanVideo

HunyuanVideo

HunyuanVideo (13B) · Family: Hunyuan
Tencent’s open-source video generation model (>13B params): text-to-video (image-to-video via HunyuanVideo-I2V), DiT + causal 3D VAE, 540p–720p, 129 frames.
✓ Active✓ Public access⚖ Open weightsVideo generationMultimodal📁 Hunyuan
Parameters
13B+
parameters
Release date
3 December 2024
Access:DownloadAPIHostedDeployment:💻 Local☁ Cloud

Overview

HunyuanVideo is a video generation model developed by Tencent, released on 3 December 2024 with over 13 billion parameters — at launch the largest open-source video generation model. The code was published on GitHub and the weights (including FP8 quantized versions) on Hugging Face, under the Tencent Hunyuan Community License Agreement.

The model is based on a diffusion transformer architecture with a hybrid “dual-stream to single-stream” design: in the dual-stream phase, video and text tokens are processed independently, and in the single-stream phase they are concatenated for multimodal fusion. Text encoding is handled by a decoder-only multimodal large language model (MLLM) with a bidirectional token refiner, and compression is performed by a causal 3D VAE with compression ratios of 4 (temporal), 8 (spatial) and 16 (channel).

HunyuanVideo generates video from text (text-to-video), while a separate HunyuanVideo-I2V model adds image-to-video animation. It supports resolutions from 540p to 720p across various aspect ratios (9:16, 16:9, 4:3, 3:4, 1:1) and clips of 129 frames (e.g. 720×1280, 129 frames).

According to its technical report, HunyuanVideo outperforms previous state-of-the-art models, including Runway Gen-3, Luma 1.6 and three top-performing Chinese video generation models. It was built through careful data curation, advanced architectural design and progressive training scaling; Tencent’s goal was to bridge the gap between the closed-source and open-source communities.

Classification
Video generationMultimodal
Family: Hunyuan
Access & deployment
DownloadAPIHosted
LocalCloud
Weights: Open weights
Key parameters
🧩 Parameters: 13B+
✓ Fine-tuning
📥 Input: text, image

Technical specification

Parameters
13B+
parameters
License
Tencent Hunyuan Community License Agreement
Hardware requirements
An open-weights model (Hugging Face) with code on GitHub; requires a large-VRAM GPU for local inference (FP8 quantized versions are also available to reduce requirements). Also available via Tencent Cloud.
Features:Fine-tuning
Modalities
⬇ Input
textimage
⬆ Output
video

Capabilities and applications

Native model capabilities
Text-to-video generation
The model's ability to create video clips directly from a text prompt, with control over motion, framing, style and clip length.
Category: video
Image-to-video
The model's ability to animate a static input image — extending it in time into a consistent video clip according to a description of motion or action.
Category: video
Video generation
The model's ability to generate video clips from a text prompt, image or another video, with control over length, resolution and visual characteristics.
Category: video

Technical architecture