To create a public link, set `share=True` in `launch()`.
max_train_steps = 0
stop_text_encoder_training = 0
lr_warmup_steps = 0
accelerate launch --num_cpu_threads_per_process=2 "train_network.py" --pretrained_model_name_or_path="runwayml/stable-diffusion-v1-5" --train_data_dir="C:/kohya/weds1_/image/136_Wednesday Addams" --resolution=512,512 --output_dir="C:/kohya/weds1_/model" --logging_dir="C:/kohya/weds1_/log" --network_alpha="1" --save_model_as=safetensors --network_module=networks.lora --text_encoder_lr=5e-5 --unet_lr=1e-3 --network_dim=8 --output_name="last" --learning_rate="0.0001" --lr_scheduler="constant" --train_batch_size="1" --save_every_n_epochs="1" --mixed_precision="fp16" --save_precision="fp16" --seed="1234" --cache_latents --xformers --use_8bit_adam
prepare tokenizer
Use DreamBooth method.
prepare train images.
0 train images with repeating.
loading image sizes.
0it [00:00, ?it/s]
prepare dataset
No data found. Please verify arguments / 画像がありません。引数指定を確認してください
max_train_steps = 0
stop_text_encoder_training = 0
lr_warmup_steps = 0
accelerate launch --num_cpu_threads_per_process=2 "train_network.py" --pretrained_model_name_or_path="runwayml/stable-diffusion-v1-5" --train_data_dir="C:/kohya/weds1_/image/136_Wednesday Addams" --resolution=512,512 --output_dir="C:/kohya/weds1_/model" --logging_dir="C:/kohya/weds1_/log" --network_alpha="1" --save_model_as=safetensors --network_module=networks.lora --text_encoder_lr=5e-5 --unet_lr=1e-3 --network_dim=8 --output_name="last" --learning_rate="0.0001" --lr_scheduler="constant" --train_batch_size="1" --save_every_n_epochs="1" --mixed_precision="fp16" --save_precision="fp16" --seed="1234" --cache_latents --xformers --use_8bit_adam
prepare tokenizer
Use DreamBooth method.
prepare train images.
0 train images with repeating.
loading image sizes.
0it [00:00, ?it/s]
prepare dataset
No data found. Please verify arguments / 画像がありません。引数指定を確認してください