File "/usr/local/lib/python3.8/dist-packages/diffusers/models/attention.py", line 104, in set_use_memory_efficient_attention_xformers
raise ValueError(
ValueError: torch.cuda.is_available() should be True but is False. xformers' memory efficient attention is only available for GPU
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 45, in main
args.func(args)
File "/usr/local/lib/python3.8/dist-packages/accelerate/commands/launch.py", line 1097, in launch_command
simple_launcher(args)
File "/usr/local/lib/python3.8/dist-packages/accelerate/commands/launch.py", line 552, 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=runwayml/stable-diffusion-v1-5', '--pretrained_vae_name_or_path=stabilityai/sd-vae-ft-mse', '--output_dir=/content/drive/MyDrive/stable_diffusion_weights/ilshatgael', '--revision=fp16', '--with_prior_preservation', '--prior_loss_weight=1.0', '--seed=1337', '--resolution=512', '--train_batch_size=1', '--train_text_encoder', '--mixed_precision=fp16', '--use_8bit_adam', '--gradient_accumulation_steps=1', '--learning_rate=1e-6', '--lr_scheduler=constant', '--lr_warmup_steps=128', '--num_class_images=192', '--sample_batch_size=4', '--max_train_steps=1280', '--save_interval=10000', '--save_sample_prompt=ilshatgael', '--concepts_list=concepts_list.json']' returned non-zero exit status 1.