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| # export IMAGE_NAME="example1" | |
| # CUDA_VISIBLE_DEVICES=1 python main.py --name=$IMAGE_NAME \ | |
| # --dpm="sd" \ | |
| # --resolution=512 \ | |
| # --num_tokens=5 \ | |
| # --load_trained \ | |
| # --load_edited_mask \ | |
| # --remove \ | |
| # --seed=2023 \ | |
| # --num_sampling_step=50 \ | |
| # --strength=0.7 \ | |
| # --edge_thickness=10 \ | |
| # --guidance_scale=2 \ | |
| # --num_imgs=1 \ | |
| # --tgt_index=0 | |
| # export IMAGE_NAME="example1" | |
| # CUDA_VISIBLE_DEVICES=1 python main.py --name=$IMAGE_NAME \ | |
| # --dpm="sd" \ | |
| # --resolution=512 \ | |
| # --num_tokens=5 \ | |
| # --load_trained \ | |
| # --load_edited_processed_mask \ | |
| # --remove \ | |
| # --seed=2024 \ | |
| # --num_sampling_step=50 \ | |
| # --strength=0.5 \ | |
| # --edge_thickness=10 \ | |
| # --guidance_scale=7 \ | |
| # --num_imgs=1 \ | |
| # --tgt_index=2 | |
| export IMAGE_NAME="example1" | |
| CUDA_VISIBLE_DEVICES=1 python main.py --name=$IMAGE_NAME \ | |
| --dpm="sd" \ | |
| --resolution=512 \ | |
| --num_tokens=5 \ | |
| --load_trained \ | |
| --load_edited_processed_mask \ | |
| --remove \ | |
| --seed=1 \ | |
| --num_sampling_step=50 \ | |
| --strength=0.6 \ | |
| --edge_thickness=10 \ | |
| --guidance_scale=7 \ | |
| --num_imgs=1 \ | |
| --tgt_index=2 | |