kohya-ss / kohya-ss/sd-scripts

No data found. Please verify arguments

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Description

accelerate launch --num_cpu_threads_per_process=16 "train_network.py" --pretrained_model_name_or_path="C:/Programs/stable-diffusion-webui/models/Stable-diffusion/sd-v1-4.ckpt" --train_data_dir="C:/Users/pdept/Desktop/AI pics/training/512x512" --resolution=512,512 --output_dir="C:/Users/pdept/Desktop/AI pics/training/Nowy folder" --use_8bit_adam --xformers --logging_dir="" --network_module=networks.lora --text_encoder_lr=5e-5 --unet_lr=1e-3 --network_dim=8 --output_name="last" --learning_rate="1e-5" --lr_scheduler="cosine" --train_batch_size="1" --save_every_n_epochs="1" --mixed_precision="fp16" --save_precision="fp16" --seed="1234" --cache_latents --max_data_loader_n_workers="1" --gradient_checkpointing --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

Contributor guide

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Research direction

Start with the command shown for train_network.py and inspect how --train_data_dir and --pretrained_model_name_or_path are consumed during dataset preparation. Reproduce the command with the reported paths and follow the preparation output to determine why zero training images are found. Done means the cause is identified and the command either loads the intended images or reports a clear argument error.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Bug
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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