%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
Hunyuanvideo
Overview :
HunyuanVideo is a systematic framework for training large video generation models, open-sourced by Tencent. By leveraging key technologies such as data curation, joint image-video model training, and efficient infrastructure, it successfully trained a video generation model with over 13 billion parameters, making it the largest among all open-source models. HunyuanVideo excels in visual quality, motion diversity, text-video alignment, and generation stability, surpassing several industry-leading models including Runway Gen-3 and Luma 1.6. With open-source code and model weights, HunyuanVideo aims to bridge the gap between closed-source and open-source video generation models, promoting the vibrant development of the video generation ecosystem.
Target Users :
The target audience includes researchers, developers, and content creators in the field of video generation. HunyuanVideo's high performance and flexibility make it an ideal choice for exploring video generation technology, particularly in scenarios where high-quality and diverse video content is required.
Use Cases
Content creators use HunyuanVideo to generate short videos with specific styles and themes.
Researchers leverage HunyuanVideo for comparative studies of video generation model performance.
Educational institutions use HunyuanVideo as a teaching tool to demonstrate practical applications of video generation technology.
Features
Unified image and video generation architecture: Introduces a transformer design using full attention mechanisms for image and video generation.
MLLM text encoder: Utilizes a pre-trained multimodal large language model as a text encoder to enhance image-text alignment and complex reasoning capabilities.
3D VAE compression: Compresses pixel-level videos and images into a compact latent space using a causal 3D VAE, reducing the number of tokens for subsequent diffusion transformation models.
Prompt rewriting model: Fine-tunes the Hunyuan-Large model based on the variability of user-provided prompts to align with model preferences.
Efficient video generation: Supports video generation at various resolutions and frame rates to meet diverse scenario needs.
Open-source code and model weights: Facilitates experimentation and innovation within the community.
How to Use
1. Clone the HunyuanVideo repository to your local machine.
%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%230080ff;%20}%20%3c/style%3e%3c/defs%3e%3cpath%20class='st0'%20d='M16.2,11.1c.4.5.4,1.2,0,1.8l-4.7,7.1h-3.8l5.3-8L7.6,4h3.8l4.7,7.1Z'/%3e%3c/svg%3e)
2. Set up the Conda environment based on the provided `environment.yml` file and activate it.
3. Install the necessary pip dependencies.
4. Install Flash Attention v2 to accelerate model performance.
5. Download the pre-trained model.
6. Use the command-line tool `sample_video.py` for video generation, specifying parameters such as video size, length, sampling steps, and text prompts.
7. Run the command, wait for the video to generate, and check the specified save path for results.
Featured AI Tools
English Picks
Pika
Pika is a video production platform where users can upload their creative ideas, and Pika will automatically generate corresponding videos. Its main features include: support for various creative idea inputs (text, sketches, audio), professional video effects, and a simple and user-friendly interface. The platform operates on a free trial model, targeting creatives and video enthusiasts.
Video Production
17.6M
Haiper
Haiper AI is driven by the mission to build the best perceptual foundation models for the next generation of content creation. It offers the following key features: Text-to-Video, Image Animation, Video Rewriting, Director's View.
Haiper AI can seamlessly transform text content and static images into dynamic videos. Simply drag and drop images to bring them to life. Using Haiper AI's rewriting tool, you can easily modify video colors, textures, and elements to elevate the quality of your visual content. With advanced control tools, you can adjust camera angles, lighting effects, character poses, and object movements like a director.
Haiper AI is suitable for a variety of scenarios, such as content creation, design, marketing, and more. For pricing information, please refer to the official website.
Video Production
9.7M