Comments (1)
export FLAGS_conv_workspace_size_limit=4096
python -u train_txt2img_control_trainer.py \
--do_train \
--output_dir ./sd15_control \
--per_device_train_batch_size 4 \
--gradient_accumulation_steps 1 \
--learning_rate 1e-5 \
--weight_decay 0.02 \
--lr_scheduler_type "constant" \
--warmup_steps 0 \
--sd_locked True \
--max_steps 10000000 \
--logging_steps 5 \
--image_logging_steps 10 \
--save_steps 2000 \
--save_total_limit 2 \
--seed 23 \
--dataloader_num_workers 4 \
--pretrained_model_name_or_path runwayml/stable-diffusion-v1-5 \
--max_grad_norm -1 \
--file_path ./fill50k \
--recompute True \
--overwrite_output_dir
你好,如果使用上面的代码运行的话,会有日志文件保存在sd15_control目录的,同时你需要确保你安装了visualdl这个工具。
# 使用这个命令查看日志
visualdl --logdir ./sd15_control
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