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
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