Ruyi-Models
R
Ruyi Models
Overview :
Ruyi-Models is an image-to-video model that can generate cinematic-quality videos at resolutions up to 768 and 24 frames per second. It supports lens control and motion range control. Using the RTX 3090 or RTX 4090 graphics cards, it can generate lossless videos at 512 resolution and 120 frames per second. This model has gained attention for its ability to produce high-quality videos with precise control over details, making it highly valuable in fields requiring high-quality video content such as film production, game development, and virtual reality experiences.
Target Users :
The primary audience includes video producers, game developers, and virtual reality content creators who require the generation of high-quality video content. Ruyi-Models meets these users' high standards for video quality with its high resolution and frame rates, as well as precise control over details.
Total Visits: 474.6M
Top Region: US(19.34%)
Website Views : 57.7K
Use Cases
In film production, use Ruyi-Models to create high-resolution movie trailers.
Game developers utilize this model to generate in-game cutscenes.
In virtual reality experiences, Ruyi-Models is used to create immersive video content.
Features
Generate videos at resolutions up to 768 and 24 frames per second
Supports lens control and motion range control
Lossless video generation with RTX 3090 or RTX 4090 graphics cards
Supports automatic model downloading as well as manual downloading and linking
Offers GPU memory optimization options to accommodate different hardware configurations
Can be run directly through Python code
Suitable for professional fields requiring high-quality video content
How to Use
1. Clone the Ruyi-Models repository to your local machine
2. Navigate to the Ruyi-Models directory
3. Install the necessary dependencies
4. (Optional) Download the model and save it to a designated path
5. Run the model using Python code or through the ComfyUI interface
6. Adjust the input image and video parameters as needed
7. Generate the video and review the output results
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