# Multimodal video generation

A conversion project based on a specific model, converting the model to GGUF format, supporting multiple functions such as text-to-video, image-to-video, and video-to-video conversion.

The GGUF format converted version of the Wan 2.1 text-to-video model, supporting text-to-video, image-to-video, and video-to-video conversions. It has been quantized to improve operational efficiency.

This is a text-to-video quantization model that undergoes quantization conversion based on a specific base model and supports various video generation tasks.

A GGUF quantized version based on the Lightricks/LTX-Video model, supporting text-to-video, image-to-video, and video-to-video tasks.

A large-scale video generation model open-sourced by Tencent, supporting text-to-video generation, with performance comparable to mainstream closed-source models.