load a trained model

[mostafafwefw]

any fix ?
Session found, loading the trained model ...
Converting to Diffusers ...
Traceback (most recent call last):
File "/content/convertodiff.py", line 1115, in
convert(args)
File "/content/convertodiff.py", line 1066, in convert
text_encoder, vae, unet = load_models_from_stable_diffusion_checkpoint(v2_model, args.model_to_load)
File "/content/convertodiff.py", line 835, in load_models_from_stable_diffusion_checkpoint
checkpoint = load_checkpoint_with_text_encoder_conversion(ckpt_path)
File "/content/convertodiff.py", line 816, in load_checkpoint_with_text_encoder_conversion
checkpoint = torch.load(ckpt_path, map_location="cuda")
File "/usr/local/lib/python3.8/dist-packages/torch/serialization.py", line 789, in load
return _load(opened_zipfile, map_location, pickle_module, **pickle_load_args)
File "/usr/local/lib/python3.8/dist-packages/torch/serialization.py", line 1131, in _load
result = unpickler.load()
File "/usr/local/lib/python3.8/dist-packages/torch/serialization.py", line 1101, in persistent_load
load_tensor(dtype, nbytes, key, _maybe_decode_ascii(location))
File "/usr/local/lib/python3.8/dist-packages/torch/serialization.py", line 1083, in load_tensor
wrap_storage=restore_location(storage, location),
File "/usr/local/lib/python3.8/dist-packages/torch/serialization.py", line 1052, in restore_location
return default_restore_location(storage, map_location)
File "/usr/local/lib/python3.8/dist-packages/torch/serialization.py", line 215, in default_restore_location
result = fn(storage, location)
File "/usr/local/lib/python3.8/dist-packages/torch/serialization.py", line 182, in _cuda_deserialize
device = validate_cuda_device(location)
File "/usr/local/lib/python3.8/dist-packages/torch/serialization.py", line 166, in validate_cuda_device
raise RuntimeError('Attempting to deserialize object on a CUDA '
RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU.
Conversion error, if the error persists, remove the CKPT file from the current session folder

[TheLastBen]

check what GPU you got