Image path - Githubissues

Hi , It is really amazing to use this colab. I am facing errors for the images that I am adding for fine-tuning. I am putting them in dataset/images folder. However, it does recognise it. here is the error:

22:53:25-519926 INFO headless: True
22:53:25-733220 INFO Using shell=True when running external commands...

UI finished loading, trying to launch (if it gets stuck here, it is having issues)

This is the URL to access UI: https://diamond-islamic-often-discussing.trycloudflare.com/ | IMPORTANT: You are using gradio version 4.26.0, however version 4.29.0 is available, please upgrade.

Running on local URL: http://127.0.0.1:7860/

To create a public link, set share=True in launch(). 22:56:08-188004 INFO Start training LoRA Standard ...
22:56:08-189534 INFO Validating lr scheduler arguments...
22:56:08-191634 INFO Validating optimizer arguments...
22:56:08-193306 INFO Validating /content/kohya_ss/logs existence and writability... SUCCESS
22:56:08-194579 INFO Validating /content/kohya_ss/outputs existence and writability... SUCCESS
22:56:08-196019 INFO Validating runwayml/stable-diffusion-v1-5 existence... SKIPPING:
huggingface.co model
22:56:08-197331 INFO Validating /content/kohya_ss/dataset/images existence... SUCCESS
22:56:08-198714 INFO Headless mode, skipping verification if model already exist... if model
already exist it will be overwritten...
22:56:08-200376 INFO Regulatization factor: 1
22:56:08-201562 INFO Total steps: 0
22:56:08-202677 INFO Train batch size: 1
22:56:08-203895 INFO Gradient accumulation steps: 1
22:56:08-205022 INFO Epoch: 1
22:56:08-206109 INFO Max train steps: 1600
22:56:08-207479 INFO stop_text_encoder_training = 0
22:56:08-208750 INFO lr_warmup_steps = 160
22:56:08-210750 INFO Saving training config to
/content/kohya_ss/outputs/last_20240715-225608.json...
22:56:08-212702 INFO Executing command: /usr/local/bin/accelerate launch --dynamo_backend no
--dynamo_mode default --mixed_precision fp16 --num_processes 1
--num_machines 1 --num_cpu_threads_per_process 2
/content/kohya_ss/sd-scripts/train_network.py --config_file
/content/kohya_ss/outputs/config_lora-20240715-225608.toml
22:56:08-215136 INFO Command executed.
2024-07-15 22:56:20 INFO Loading settings from train_util.py:3744 /content/kohya_ss/outputs/config_lora-20240715-22560
8.toml...
INFO /content/kohya_ss/outputs/config_lora-20240715-22560 train_util.py:3763 8
2024-07-15 22:56:20 INFO prepare tokenizer train_util.py:4227 2024-07-15 22:56:21 INFO update token length: 75 train_util.py:4244 INFO Using DreamBooth method. train_network.py:172 INFO prepare images. train_util.py:1572 INFO 0 train images with repeating. train_util.py:1613 INFO 0 reg images. train_util.py:1616 WARNING no regularization images / train_util.py:1621 正則化画像が見つかりませんでした
INFO [Dataset 0] config_util.py:565 batch_size: 1
resolution: (512, 512)
enable_bucket: False
network_multiplier: 1.0

                INFO     [Dataset 0]                                          config_util.py:571
                INFO     loading image sizes.                                  train_util.py:853

0it [00:00, ?it/s] 0it [00:00, ?it/s] INFO make buckets train_util.py:859 WARNING min_bucket_reso and max_bucket_reso are ignored if train_util.py:876 bucket_no_upscale is set, because bucket reso is
defined by image size automatically /
bucket_no_upscaleが指定された場合は、bucketの解像度は
画像サイズから自動計算されるため、min_bucket_resoとma
x_bucket_resoは無視されます
INFO number of images (including repeats) / train_util.py:905 各bucketの画像枚数（繰り返し回数を含む）
INFO mean ar error (without repeats): nan train_util.py:915 ERROR No data found. Please verify arguments train_network.py:212 (train_data_dir must be the parent of folders with
images) /
画像がありません。引数指定を確認してください（trai
n_data_dirには画像があるフォルダではなく、画像があ
るフォルダの親フォルダを指定する必要があります）
22:56:23-908014 INFO Training has ended.
22:59:47-854783 INFO SD v2 model selected. Setting --v2 and --v_parameterization parameters
23:00:14-453084 INFO Start training LoRA Standard ...
23:00:14-454372 INFO Validating lr scheduler arguments...
23:00:14-455806 INFO Validating optimizer arguments...
23:00:14-456997 INFO Validating /content/kohya_ss/logs existence and writability... SUCCESS
23:00:14-458178 INFO Validating /content/kohya_ss/outputs existence and writability... SUCCESS
23:00:14-459342 INFO Validating stabilityai/stable-diffusion-2 existence... SKIPPING:
huggingface.co model
23:00:14-460922 INFO Validating ./dataset/images existence... SUCCESS
23:00:14-462267 INFO Headless mode, skipping verification if model already exist... if model
already exist it will be overwritten...
23:00:14-464009 INFO Regulatization factor: 1
23:00:14-465144 INFO Total steps: 0
23:00:14-466234 INFO Train batch size: 1
23:00:14-467327 INFO Gradient accumulation steps: 1
23:00:14-468419 INFO Epoch: 1
23:00:14-469472 INFO Max train steps: 1600
23:00:14-470573 INFO stop_text_encoder_training = 0
23:00:14-471704 INFO lr_warmup_steps = 160
23:00:14-473590 INFO Saving training config to
/content/kohya_ss/outputs/last_20240715-230014.json...
23:00:14-475407 INFO Executing command: /usr/local/bin/accelerate launch --dynamo_backend no
--dynamo_mode default --mixed_precision fp16 --num_processes 1
--num_machines 1 --num_cpu_threads_per_process 2
/content/kohya_ss/sd-scripts/train_network.py --config_file
/content/kohya_ss/outputs/config_lora-20240715-230014.toml
23:00:14-477598 INFO Command executed.
2024-07-15 23:00:26 INFO Loading settings from train_util.py:3744 /content/kohya_ss/outputs/config_lora-20240715-23001
4.toml...
INFO /content/kohya_ss/outputs/config_lora-20240715-23001 train_util.py:3763 4
WARNING v2 with clip_skip will be unexpected / train_util.py:3451 v2でclip_skipを使用することは想定されていません
2024-07-15 23:00:26 INFO prepare tokenizer train_util.py:4227 2024-07-15 23:00:29 INFO update token length: 75 train_util.py:4244 INFO Using DreamBooth method. train_network.py:172 INFO prepare images. train_util.py:1572 INFO 0 train images with repeating. train_util.py:1613 INFO 0 reg images. train_util.py:1616 WARNING no regularization images / train_util.py:1621 正則化画像が見つかりませんでした
INFO [Dataset 0] config_util.py:565 batch_size: 1
resolution: (512, 512)
enable_bucket: False
network_multiplier: 1.0

                INFO     [Dataset 0]                                          config_util.py:571
                INFO     loading image sizes.                                  train_util.py:853

Your help will be valuable. Thank you!!

monsterhunters / Lora-Training-GUI

Image path #1

This is the URL to access UI: https://diamond-islamic-often-discussing.trycloudflare.com/ | IMPORTANT: You are using gradio version 4.26.0, however version 4.29.0 is available, please upgrade.