Wan2.2 is a major upgrade version of the basic video model, focusing on integrating innovative technologies such as effective MoE architecture, efficient training strategies, and multimodal fusion into the video diffusion model, bringing more powerful and efficient solutions to the field of video generation.

MultimodalDiffusersMultiple Languages

MM-VAE Lyra is a multimodal variational autoencoder specifically designed for text embedding conversion, using geometric fusion technology. It combines the CLIP-L and T5-base models and can effectively handle the encoding and decoding tasks of text embeddings, providing an innovative solution for multimodal data processing.

Qwen3-VL-30B-A3B-Instruct is a multimodal vision-language model based on the Qwen3-VL-30B model, which supports joint understanding and generation tasks of images and text. This model adopts an advanced vision-language fusion architecture and can handle complex multimodal reasoning tasks.

MultimodalGguf

Llama 4 Scout is a 17-billion-parameter multimodal model with a Mixture of Experts (MoE) architecture, introduced by Meta. It supports 12 languages and image understanding, featuring a topk=4 expert dynamic fusion mechanism.

MultimodalTransformersMultiple Languages

Meta Chameleon is a hybrid-modal early fusion foundation model developed by FAIR, supporting multimodal processing of images and text.

MultimodalTransformers

A multimodal fusion model based on WavLM and BERT, suitable for joint speech and text task processing.

Audio ProcessingTransformers