CogVideoX-Fun-V1.1-5b-InP
| Property | Value |
|---|---|
| Model Size | 5B parameters |
| License | Apache 2.0 |
| Framework | PyTorch |
| Task | Text-to-video synthesis |
What is CogVideoX-Fun-V1.1-5b-InP?
CogVideoX-Fun-V1.1-5b-InP is an advanced text-to-video synthesis model based on the CogVideoX architecture. This version introduces enhanced motion capabilities through added noise during training, resulting in more dynamic and expressive video generation. The model supports multiple resolution outputs ranging from 256x256 to 1024x1024 pixels, with the ability to generate videos up to 49 frames at 8 FPS.
Implementation Details
The model employs a sophisticated Diffusion Transformer (DiT) architecture and includes specialized noise injection techniques to improve motion quality. It's designed to work with both image-to-video and text-to-video generation tasks, offering flexible condition controls for various creative applications.
- Supports multiple resolution outputs (512px, 768px, 1024px, 1280px)
- Generates videos with 49 frames at 8 FPS
- Enhanced motion capabilities through specialized noise injection
- Flexible pipeline supporting both image and text inputs
Core Capabilities
- High-quality video generation from text descriptions
- Multi-resolution support for different quality needs
- Improved motion handling compared to previous versions
- Supports personalized model training through LoRA
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its enhanced motion capabilities and flexible resolution support, making it particularly suitable for creating dynamic, high-quality videos. The addition of noise during training results in more natural and expressive motion compared to previous versions.
Q: What are the recommended use cases?
The model excels in creating short-form videos (around 6 seconds) from text descriptions or images. It's particularly useful for creative content generation, artistic visualizations, and proof-of-concept video creation in professional settings.
