Plug and play, perfectly compatible: The SD community's image video plug-in I2V-Adapter is here

Bit Recently, a new research result led by Kuaishou, “I2V-Adapter: A General Image-to-Video Adapter for Video Diffusion Models”, was released, which introduced an innovative image-to-video conversion method and proposed a lightweight adapter module, namely I2V-Adapter, which converts static images into dynamic videos without changing the original structure and pre-trained parameters of existing text-to-video generation (T2V) models.

Compared with existing methods, I2V-Adapter significantly reduces the trainable parameters (down to 22M, which is the mainstream solution such as Stable Video Diffusion [1][2] of 1%), which is also compatible with Stable Diffusion [3] Community-developed custom T2I model (DreamBooth [4]、Lora [5]) and control tools (ControlNet Compatibility. Through experiments, the researchers have demonstrated the effectiveness of the I2V-Adapter in generating high-quality video content, opening up new possibilities for creative applications in the field of I2V.