---
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


<br>
<img width="800" src="assets/teaser.gif"/>
<br>


# Description of Model Checkpoints


## SDXL

Depth map
- Ctrl-Adapter/sdxl_depth/diffusion_pytorch_model.safetensors

Canny edge
- Ctrl-Adapter/sdxl_canny/diffusion_pytorch_model.safetensors


## I2VGen-XL

Depth map
- Ctrl-Adapter/i2vgenxl_depth/diffusion_pytorch_model.safetensors

Canny edge
- Ctrl-Adapter/i2vgenxl_canny/diffusion_pytorch_model.safetensors

Soft edge
- Ctrl-Adapter/i2vgenxl_softedge/diffusion_pytorch_model.safetensors

Sparse control with user scribbles
- Ctrl-Adapter/i2vgenxl_scribble_sparse/diffusion_pytorch_model.safetensors

Multi-condition control trained on depth map, canny edge, normal map, soft edge, segmentation, line art, and openpose
- Ctrl-Adapter/i2vgenxl_multi_control_adapter/diffusion_pytorch_model.safetensors
- Ctrl-Adapter/i2vgenxl_multi_control_router/diffusion_pytorch_model.safetensors


## SVD 

Depth map
- Ctrl-Adapter/svd_depth/diffusion_pytorch_model.safetensors

Canny edge
- Ctrl-Adapter/svd_canny/diffusion_pytorch_model.safetensors

Soft edge
- Ctrl-Adapter/svd_softedge/diffusion_pytorch_model.safetensors