wan-1.3b-gguf
| Property | Value |
|---|---|
| Model Type | Text-to-Video Diffusion |
| Architecture | WAN Architecture |
| Author | calcuis |
| Model URL | HuggingFace |
What is wan-1.3b-gguf?
wan-1.3b-gguf is a quantized version of the wan2.1 text-to-video 1.3B parameter model, specifically optimized for ComfyUI integration. This model represents a significant advancement in efficient video generation from text descriptions, utilizing the GGUF format for improved performance and reduced memory footprint.
Implementation Details
The model consists of three main components: the core model, text encoder (umt5), and VAE, all converted to GGUF format for optimal performance. It's designed to work seamlessly with both comfyui-gguf and standard GGUF nodes, providing a complete solution for text-to-video generation.
- Full GGUF compatibility with immediate functionality
- Integrated UMT5 tokenizer support
- Optimized memory management system
- Specialized pig architecture components
Core Capabilities
- High-quality video generation from text prompts
- Efficient negative prompt handling
- Support for tracking camera movements
- Seamless integration with ComfyUI workflow
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its GGUF quantization, which enables efficient inference while maintaining quality. It's specifically designed for ComfyUI integration and includes a complete set of components (model, encoder, and VAE) in GGUF format.
Q: What are the recommended use cases?
The model excels at generating dynamic video content from text descriptions, particularly suitable for scenes involving movement and complex environments. It's optimized for scenarios requiring tracking shots and natural motion sequences.
