metadata
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.