Wan2.1-I2V-14B-480P-Diffusers
| Property | Value |
|---|---|
| Model Size | 14B parameters |
| License | Apache 2.0 |
| Resolution | 480P |
| Architecture | Diffusion Transformer with T5 Encoder |
What is Wan2.1-I2V-14B-480P-Diffusers?
Wan2.1-I2V-14B-480P-Diffusers is a state-of-the-art image-to-video generation model that's part of the Wan2.1 suite of video foundation models. Built on a 14B parameter architecture, it specializes in converting static images into dynamic 480P videos while maintaining high quality and temporal consistency.
Implementation Details
The model utilizes a sophisticated architecture combining a novel 3D causal VAE (Wan-VAE) with a Diffusion Transformer framework. It features a dimension of 5120, 40 attention heads, and 40 layers, with a feedforward dimension of 13824. The model employs T5 Encoder for text encoding and implements cross-attention mechanisms in each transformer block.
- Advanced spatio-temporal variational autoencoder for efficient video processing
- Flow Matching framework within the Diffusion Transformer paradigm
- Shared MLP across transformer blocks for time embedding processing
- Optimized for consumer-grade GPUs with efficient memory usage
Core Capabilities
- High-quality 480P video generation from static images
- Efficient processing with reasonable computational requirements
- Support for both Chinese and English text generation
- Excellent temporal consistency and visual quality
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its ability to generate high-quality 480P videos while maintaining efficiency and requiring relatively modest computational resources. It's part of the broader Wan2.1 ecosystem, which consistently outperforms both open-source and commercial solutions in benchmarks.
Q: What are the recommended use cases?
The model excels in converting static images into dynamic videos, making it ideal for content creators, digital artists, and developers working on video generation applications. It's particularly suitable for scenarios requiring 480P output with optimal quality-to-resource ratio.
