HunyuanVideo 1.5 - A lightweight video generation model open-sourced by Tencent Hunyuan.

What is HunyuanVideo 1.5?

HunyuanVideo 1.5 is a lightweight video generation model open-sourced by Tencent's Hunyuan team, with a parameter size of 8.3B. Based on the Diffusion Transformer architecture, the model supports generating 5-10 second high-definition videos from text descriptions or images. It boasts powerful instruction understanding capabilities and can accurately generate diverse scenes, including realistic and animated styles. The model innovatively employs the SSTA sparse attention mechanism, significantly improving inference efficiency and running smoothly on consumer-grade graphics cards with 14GB of VRAM, lowering the barrier to entry. The model generates high-quality videos, supporting super-resolution from 480p to 1080p, and is suitable for content creation, education, entertainment, and other fields. The model is now available on Yuanbao, allowing users to experience its powerful video generation capabilities.

Main features of HunyuanVideo 1.5

• Wensheng VideoIt can directly generate high-definition videos that match the description by inputting Chinese and English text descriptions, and supports accurate parsing of complex semantics (such as lighting, composition, etc.).
• Image and videoIt converts static images into dynamic videos, and the generated videos are highly matched with the original images in terms of tone, lighting, scene, and details.
• Diverse stylesIt supports various visual styles such as realistic, animated, and blocky, and can generate Chinese and English text in videos to meet different creative needs.
• High qualityIt natively supports the generation of 480p and 720p high-definition videos, and can be upscaled to 1080p cinematic quality through a super-resolution model.
• Smooth motion generationThe generated characters and objects move naturally and smoothly, following the laws of physics, and supporting various camera movement techniques (such as push-pull, panning, and circling).
• Strong instruction complianceThe model can accurately understand and follow complex instructions to generate diverse scenes that meet the requirements, including camera movements and action combinations.
• Low barrier to entryThe model features a lightweight design that allows it to run smoothly on consumer-grade graphics cards with 14GB of video memory, significantly lowering the hardware requirements.

Technical Principles of HunyuanVideo 1.5

• Architecture DesignThe model is based on the Diffusion Transformer (DiT) architecture, integrating the advantages of the Diffusion Model and the Transformer architecture. It employs a 3D causal VAE codec to achieve 16 times the spatial efficiency and 4 times the temporal efficiency, unleashing powerful performance with minimal parameters.
• Attention mechanismThe innovative SSTA (Selective Sliding Attention) mechanism significantly reduces the computational overhead of generating long sequences and improves inference efficiency by dynamically pruning redundant spatiotemporal data.
• Multimodal understandingCombining an enhanced multimodal large model and a dedicated text encoder, it accurately parses Chinese and English instructions, enhancing the accuracy of text element generation in videos.
• Training strategyIt adopts a multi-stage progressive training strategy, covering the entire process from pre-training to post-training, and combines the Moun optimizer to accelerate model convergence and optimize motion coherence, aesthetic quality and alignment with human preferences.
• Super-resolution enhancementThe system introduces a video super-resolution enhancement system, which uses a dedicated upsampling module in the latent space to efficiently upsample low-resolution video to 1080p high-definition quality, avoiding grid artifacts caused by traditional interpolation and improving image sharpness and texture.
• Inference accelerationIt integrates key technologies such as model distillation and cache optimization, which greatly improves inference efficiency, significantly reduces inference resource consumption, and ensures smooth operation of the model on consumer-grade hardware.

HunyuanVideo 1.5 project address

• Project official website: https://hunyuan.tencent.com/video/
• GitHub repository: https://github.com/Tencent-Hunyuan/HunyuanVideo-1.5
• HuggingFace model library: https://huggingface.co/tencent/HunyuanVideo-1.5
• Technical Papers: https://github.com/Tencent-Hunyuan/HunyuanVideo-1.5/blob/main/assets/HunyuanVideo_1_5.pdf

Application Scenarios of HunyuanVideo 1.5

• Film and television productionIt can quickly generate creative shots and scenes, assisting screenwriters and directors in early creative conception, reducing shooting costs and improving creative efficiency.
• Advertising and MarketingGenerate engaging advertising videos, quickly produce product promotional short films, and enhance brand influence.
• Short video creationIt provides self-media creators with efficient content generation tools to quickly generate interesting and novel short videos to meet the content needs of social media platforms.
• Instructional video productionThe model can generate vivid teaching animations or experimental demonstration videos, helping students understand complex concepts more intuitively and improving learning outcomes.