--- license: mit --- This repo contains the pretrained checkpoints for Ctrl-Adapter

CTRL-Adapter is an efficient and versatile framework for adding diverse spatial controls to any image or video diffusion model. It supports a variety of useful applications, including video control, video control with multiple conditions, video control with sparse frame conditions, image control, zero-shot transfer to unseen conditions, and video editing. See also: https://github.com/HL-hanlin/Ctrl-Adapter # Description of Model Checkpoints Ctrl-Adapter/i2vgenxl_depth/diffusion_pytorch_model.safetensors - The Ctrl-Adapter checkpoint trained on I2VGen-XL for video generation that uses depth map as control condition. More checkpoints trained on Hotshot-XL, Stable Video Diffusion, and SDXL will be updated soon.