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I'm on Colab Pro and a T4, but first of all had to compile the wheels again. The VAE is just downloaded from Huggingface, it's the SD official one.
following values were not passed to `accelerate launch` and had defaults used instead:
`--num_processes` was set to a value of `1`
`--num_machines` was set to a value of `1`
`--mixed_precision` was set to a value of `'no'`
`--num_cpu_threads_per_process` was set to `1` to improve out-of-box performance
To avoid this warning pass in values for each of the problematic parameters or run `accelerate config`.
2023-02-28 10:30:39.100065: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-02-28 10:30:40.093426: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lib64-nvidia
2023-02-28 10:30:40.093547: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lib64-nvidia
2023-02-28 10:30:40.093569: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.
Traceback (most recent call last):
File "/usr/local/lib/python3.8/dist-packages/diffusers/configuration_utils.py", line 380, in load_config
config_dict = cls._dict_from_json_file(config_file)
File "/usr/local/lib/python3.8/dist-packages/diffusers/configuration_utils.py", line 480, in _dict_from_json_file
text = reader.read()
File "/usr/lib/python3.8/codecs.py", line 322, in decode
(result, consumed) = self._buffer_decode(data, self.errors, final)
UnicodeDecodeError: 'utf-8' codec can't decode byte 0x80 in position 64: invalid start byte
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "train_dreambooth.py", line 869, in <module>
main(args)
File "train_dreambooth.py", line 475, in main
vae=AutoencoderKL.from_pretrained(
File "/usr/local/lib/python3.8/dist-packages/diffusers/models/modeling_utils.py", line 522, in from_pretrained
config, unused_kwargs = cls.load_config(
File "/usr/local/lib/python3.8/dist-packages/diffusers/configuration_utils.py", line 382, in load_config
raise EnvironmentError(f"It looks like the config file at '{config_file}' is not a valid JSON file.")
OSError: It looks like the config file at '/content/drive/MyDrive/sd/stable-diffusion-webui/models/VAE/vae-ft-mse-840000-ema-pruned.ckpt' is not a valid JSON file.
Traceback (most recent call last):
File "/usr/local/bin/accelerate", line 8, in <module>
sys.exit(main())
File "/usr/local/lib/python3.8/dist-packages/accelerate/commands/accelerate_cli.py", line 43, in main
args.func(args)
File "/usr/local/lib/python3.8/dist-packages/accelerate/commands/launch.py", line 837, in launch_command
simple_launcher(args)
File "/usr/local/lib/python3.8/dist-packages/accelerate/commands/launch.py", line 354, in simple_launcher
raise subprocess.CalledProcessError(returncode=process.returncode, cmd=cmd)
subprocess.CalledProcessError: Command '['/usr/bin/python3', 'train_dreambooth.py', '--pretrained_model_name_or_path=/content/gdrive/MyDrive/sd/stable-diffusion-webui/models/Stable-diffusion/model.ckpt', '--pretr
The text was updated successfully, but these errors were encountered:
I'm on Colab Pro and a T4, but first of all had to compile the wheels again. The VAE is just downloaded from Huggingface, it's the SD official one.
The text was updated successfully, but these errors were encountered: