Cosmos
| Property | Value |
|---|---|
| Model Size | 7B parameters |
| Author | calcuis |
| Base Model | NVIDIA Text2World/Video2World |
| Framework | ComfyUI |
What is cosmos?
Cosmos is a quantized implementation of NVIDIA's text2world and video2world models, optimized using GGUF/FP8 quantization for improved efficiency. It's designed to work with ComfyUI and utilizes the pig architecture for seamless integration.
Implementation Details
The model consists of three main components: a 4.07GB GGUF quantized model file, a 4.9GB text encoder, and a 211MB VAE model. It's specifically designed to work with ComfyUI's framework and requires minimal setup.
- Quantized model using GGUF/FP8 format
- Integrated VAE and text encoder components
- Custom workflows for both text2world and video2world generation
- Built on NVIDIA's base architecture
Core Capabilities
- Text-to-world generation with 7B parameter model
- Video-to-world transformation capabilities
- Efficient processing through quantization
- Direct integration with ComfyUI workflows
- Support for complex prompt processing
Frequently Asked Questions
Q: What makes this model unique?
Cosmos stands out for its efficient quantization of NVIDIA's world generation models, making them more accessible while maintaining functionality. The integration with ComfyUI and use of the pig architecture provides a user-friendly implementation.
Q: What are the recommended use cases?
The model is best suited for generating world representations from text or video inputs, though it's currently in testing phase and may show varying levels of stability. It's particularly useful for users who need efficient world generation capabilities within the ComfyUI ecosystem.
