Wan2.1-I2V-14B-720P-gguf
| Property | Value |
|---|---|
| Author | city96 |
| Model Type | Image-to-Video Generation |
| Parameter Size | 14B |
| Resolution | 720P |
| Model URL | Hugging Face |
What is Wan2.1-I2V-14B-720P-gguf?
Wan2.1-I2V-14B-720P-gguf is a GGUF-converted version of the Wan-AI image-to-video generation model, specifically optimized for 720P resolution output. This conversion maintains the powerful capabilities of the original model while providing compatibility with ComfyUI through the GGUF format.
Implementation Details
The model represents a direct GGUF conversion from the original Wan2.1-I2V-14B-720P, featuring multiple quantization options derived from the FP32 base file. Due to file size limitations, only the FP16 version is currently available, as the model exceeds the 50GB maximum file limit.
- Compatible with ComfyUI-GGUF custom node
- Requires installation in ComfyUI/models/unet directory
- Supports various quantization types for different performance/quality tradeoffs
Core Capabilities
- High-quality 720P video generation from input images
- Efficient memory usage through GGUF optimization
- Seamless integration with ComfyUI workflow
- Multiple quantization options for different use cases
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its efficient GGUF conversion of the Wan2.1 architecture, specifically optimized for 720P video generation while maintaining compatibility with ComfyUI workflows.
Q: What are the recommended use cases?
The model is ideal for generating high-quality 720P videos from still images, particularly useful in content creation, animation, and visual effects workflows that require image-to-video conversion.
