HunyuanVideo 1.5 - Tencent mixed yuan free open source lightweight video generation model

What is HunyuanVideo 1.5

HunyuanVideo 1.5 is an open source lightweight video generation model from Tencent's Mixed Meta Modeling team, based on the Diffusion Transformer (DiT) architecture, with a parameter count of 8.3B. It supports generating 5-10 second HD videos with resolutions up to 480p and 720p, and can be upgraded to 1080p through the super-scoring model. users can generate videos by entering a textual description (text-generated video) or uploading an image with a textual description (picture-generated video). Users can generate videos by entering text descriptions (text to video) or uploading images with text descriptions (picture to video). The model supports English and Chinese inputs, has strong command understanding and compliance ability, and can realize diverse scenes, such as running mirror, smooth movement, realistic characters, etc. It supports realistic, animated, and building block models. It supports various styles such as realism, animation, building blocks, etc., and can generate Chinese and English text in the video.HunyuanVideo 1.5's innovative SSTA sparse attention mechanism significantly improves inference efficiency, and it can run smoothly on consumer graphics cards with 14G video memory.

Features of HunyuanVideo 1.5

• HD Video GenerationThe HD video generation is supported to generate 5-10 seconds of HD video with 480p and 720p resolution natively, and can be upgraded to 1080p with superscoring technology to meet the demand for high quality video.
• Flexible Input Methods: Users can generate videos directly from text descriptions, or upload images and match them with text descriptions to convert static images into dynamic videos.
• Multi-language support: Supports Chinese and English inputs, which is convenient for users with different language backgrounds.
• Variety of styles: Supports a variety of video styles such as realistic, animated, block, etc., and can generate Chinese and English text in the video.
• Strong directive to follow: With strong command comprehension, it can accurately realize diverse scenes, such as running mirror, smooth movement, realistic characters and characters' emotional expressions.
• Efficient Reasoning with Low Hardware ThresholdThe innovative SSTA sparse attention mechanism significantly improves inference efficiency and runs smoothly on consumer graphics cards with 14G of video memory.
• Open Source and Community Support: The model has been uploaded to the Hugging Face and Github communities for developers to download and use.

Core Benefits of HunyuanVideo 1.5

• low hardware thresholdHunyuanVideo 1.5 has a parameter count of 8.3B and runs smoothly on consumer graphics cards with up to 14G of RAM, dramatically reducing the cost of hardware deployment for video generation.
• Efficient reasoning mechanismsThe SSTA sparse attention mechanism is used to significantly improve the inference efficiency, ensuring high quality generation and faster inference speed.
• High-quality generation: Supports the generation of 5-10 second HD videos with native support for 480p and 720p resolutions, and can be upscaled to 1080p with super-scoring technology.
• Variety of inputs and stylesIt supports a combination of text description and picture input methods, and covers a variety of styles such as realistic, animation, and block, adapting to the needs of different users.
• Strong instruction compliance: It can accurately understand and follow user commands to achieve high-quality video generation for complex scenes.

What is the official website for HunyuanVideo 1.5?

• Project 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

Who is HunyuanVideo 1.5 for?

• content creator: HunyuanVideo 1.5 can help video creators quickly generate creative videos, saving time for shooting and editing, especially suitable for short video creators who need a lot of material, advertisement producers and self-media operators.
• Film & TV Production TeamThe model can assist film and television production teams in generating special effects shots, animation clips or preliminary creative presentations, providing a more efficient and cost-effective solution for film and television production.
• game developer: It can be used to generate in-game animation clips, transitions or character action demos, providing richer visual material for game development.
• educator: Teaching videos can be generated, such as animated demonstrations, experimental processes, etc., to make the teaching content more vivid and interesting, and improve students' learning interest.
• marketer: It can be used to create advertising videos, product promotion videos, etc. to quickly generate appealing visual content and enhance marketing effectiveness.
• Designers and artists: Provide creative inspiration for designers and artists to generate artistic style video works to aid creative expression.