Qwen3-VL-2B-Instruct is the most powerful vision-language model in the Qwen series. It has excellent text understanding and generation capabilities, in-depth visual perception and reasoning abilities, long context support, and strong spatial and video dynamic understanding abilities. This model uses a 2B parameter scale, supports instruction interaction, and is suitable for multimodal AI applications.

MultimodalTransformers

This is a LoRA adapter trained based on the Wan2.1-T2V-14B model, specifically designed for text-to-video conversion tasks. The model is trained using the AI Toolkit to support video generation applications.

MultimodalDiffusers

CogVideoX1.5-5B is a text-to-video generation model open-sourced by Zhipu AI, which can generate high-quality videos based on English text descriptions. This model supports generating videos with a resolution of 1360×768 and a maximum of 81 frames (5 seconds), and has wide application value in the field of video creation.

MultimodalDiffusersEnglish

VQVAE is a video generation model based on the VQ-VAE architecture, cloned from the VideoGPT project, aimed at converting the model to Hugging Face format for easier loading.

Computer VisionTransformers