Captioning not working

[elen07zz]

10:20:20-678964 INFO Captioning files in C:/Users/xfarw/Downloads/maryy...
10:20:20-679964 INFO accelerate launch "D:\kohya_ss/sd-scripts/finetune/tag_images_by_wd14_tagger.py" --batch_size=8
--caption_extension=".txt" --caption_separator="," --character_threshold=0.35 --debug
--frequency_tags --general_threshold=0.35 --max_data_loader_n_workers="2" --remove_underscore
--repo_id="SmilingWolf/wd-v1-4-convnextv2-tagger-v2"
--undesired_tags="score_9,score_8_up,score_7_up," "C:/Users/xfarw/Downloads/maryElizabethPony"
2024-04-05 10:20:27.155454: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable TF_ENABLE_ONEDNN_OPTS=0.
2024-04-05 10:20:28.104629: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable TF_ENABLE_ONEDNN_OPTS=0.
A matching Triton is not available, some optimizations will not be enabled.
Error caught was: No module named 'triton'
2024-04-05 10:20:31 INFO using existing wd14 tagger model tag_images_by_wd14_tagger.py:111
Traceback (most recent call last):
File "D:\kohya_ss\sd-scripts\finetune\tag_images_by_wd14_tagger.py", line 514, in
main(args)
File "D:\kohya_ss\sd-scripts\finetune\tag_images_by_wd14_tagger.py", line 165, in main
model = load_model(f"{model_location}")
File "D:\kohya_ss\venv\lib\site-packages\keras\src\saving\saving_api.py", line 191, in load_model
raise ValueError(
ValueError: File format not supported: filepath=wd14_tagger_model\SmilingWolf_wd-v1-4-convnextv2-tagger-v2. Keras 3 only supports V3 .keras files and legacy H5 format files (.h5 extension). Note that the legacy SavedModel format is not supported by load_model() in Keras 3. In order to reload a TensorFlow SavedModel as an inference-only layer in Keras 3, use keras.layers.TFSMLayer(wd14_tagger_model\SmilingWolf_wd-v1-4-convnextv2-tagger-v2, call_endpoint='serving_default') (note that your call_endpoint might have a different name).
Traceback (most recent call last):
File "C:\Users\xfarw\AppData\Local\Programs\Python\Python310\lib\runpy.py", line 196, in _run_module_as_main
return _run_code(code, main_globals, None,
File "C:\Users\xfarw\AppData\Local\Programs\Python\Python310\lib\runpy.py", line 86, in run_code
exec(code, run_globals)
File "D:\kohya_ss\venv\Scripts\accelerate.exe_main.py", line 7, in
File "D:\kohya_ss\venv\lib\site-packages\accelerate\commands\accelerate_cli.py", line 47, in main
args.func(args)
File "D:\kohya_ss\venv\lib\site-packages\accelerate\commands\launch.py", line 1017, in launch_command
simple_launcher(args)
File "D:\kohya_ss\venv\lib\site-packages\accelerate\commands\launch.py", line 637, in simple_launcher
raise subprocess.CalledProcessError(returncode=process.returncode, cmd=cmd)
subprocess.CalledProcessError: Command '['D:\kohya_ss\venv\Scripts\python.exe', 'D:\kohya_ss/sd-scripts/finetune/tag_images_by_wd14_tagger.py', '--batch_size=8', '--caption_extension=.txt', '--caption_separator=,', '--character_threshold=0.35', '--debug', '--frequency_tags', '--general_threshold=0.35', '--max_data_loader_n_workers=2', '--remove_underscore', '--repo_id=SmilingWolf/wd-v1-4-convnextv2-tagger-v2', '--undesired_tags=score_9,score_8_up,score_7_up,', 'C:/Users/xfarw/Downloads/maryy']' returned non-zero exit status 1.