# Multimodal Conversion

An image-to-video generation model implemented with Diffusers, with a parameter scale of 5B

Tencent's HunyuanVideo-I2V is a Diffusers-based image-to-video model capable of converting static images into dynamic videos.

MiniCPM-o-2_6 is a multimodal conversion model supporting multiple languages and suitable for various tasks.

This is an image-to-text conversion model capable of processing both image and text inputs to generate corresponding text outputs.

An image caption generation model based on the ViT-GPT2 architecture, capable of converting input images into descriptive text

Vchitect-2.0 is a parallel Transformer model for scaling video diffusion models, specializing in text-to-video and image-to-video generation tasks.

This is a transformers-based image-to-text conversion model, specific functionalities require further details

4M is a scalable multimodal masked modeling framework that supports any-to-any modality conversion, covering dozens of modalities and tasks.

Flickr30k is an English dataset for image-to-text tasks, commonly used for training and evaluating image caption generation models.