--- license: openrail --- # 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/jaehong31/RACCooN

# Description of VPLM Dataset Multi-Objects Description - Train: RACCooN/VPLM/gt_train.json - Test: RACCooN/VPLM/gt_test.json Single-Object Layout Prediction - Train: RACCooN/VPLM/gt_train_layouts.json - Test: RACCooN/VPLM/gt_test_layouts.json # Description of Model Checkpoints ## V2P Multi-Objects Description - RACCooN/mllm_finetuned/multi_obj_projector.bin Single-Object Description - RACCooN/mllm_finetuned/single_obj_projector.bin Single-Object Layout Prediction - RACCooN/mllm_finetuned/layout_pred_projector.bin ## P2V - RACCooN/unet_finetuned/diffusion_pytorch_model.safetensors