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#### access DINOv2
export CUDA_VISIBLE_DEVICES=0,1,2,3;
python -m torch.distributed.launch --nproc_per_node=4 --use_env 3_inference.py \
--batch-size 32 --total_train_steps 50000 \
--teacher-model vit_large --target_model vit_base --model models_proteus_dinov2 \
--patch_size 14 --cldm_learning_rate 1e-4 \
--lambda_token 1.0 --lambda_fea 1.05 --lambda_patch 1.05 \
--resume "/home/t2vg-a100-G4-1/projects/qiyp/1_feature_extractor/1_feature_extractor/checkpoint0160.pth" \
--log_dir '/home/t2vg-a100-G4-1/projects/qiyp/3_ControlNet/log/' \
--resume_path '/home/t2vg-a100-G4-1/projects/qiyp/3_ControlNet/models/control_sd15_ini.ckpt' \
--image_floder '/home/t2vg-a100-G4-1/projects/dataset/train2017' \
--txt_path '/home/t2vg-a100-G4-1/projects/dataset/annotations/captions_train2017.json' \
--log_every 50 --ckpt_every 5000 --image_every 1000 \
--controlnet_dir "/home/t2vg-a100-G4-1/projects/qiyp/3_ControlNet/exp_old/checkpoints/0050000.pt" \
--global_step 35000 \
--save_img_path "/home/t2vg-a100-G4-1/projects/qiyp/3_ControlNet/exp/outputs_old" \
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