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Instructions say to run this:
mkdir -p models/ldm/stable-diffusion-v1/
ln -s <path/to/model.ckpt> models/ldm/stable-diffusion-v1/model.ckpt
python scripts/txt2img.py --prompt "a photograph of an astronaut riding a horse" --plms
This results in an error:
Loading model from /data/pretrained_models/ldm/text2img-large/model.ckpt
Traceback (most recent call last):
File "scripts/txt2img.py", line 119, in <module>
model = load_model_from_config(config, opt.ckpt_path) # TODO: check path
File "scripts/txt2img.py", line 16, in load_model_from_config
pl_sd = torch.load(ckpt, map_location="cpu")
File "C:\Users\<redacted>\anaconda3\envs\ldm\lib\site-packages\torch\serialization.py", line 594, in load
with _open_file_like(f, 'rb') as opened_file:
File "C:\Users\<redacted>\anaconda3\envs\ldm\lib\site-packages\torch\serialization.py", line 230, in _open_file_like
return _open_file(name_or_buffer, mode)
File "C:\Users\<redacted>\anaconda3\envs\ldm\lib\site-packages\torch\serialization.py", line 211, in __init__
super(_open_file, self).__init__(open(name, mode))
FileNotFoundError: [Errno 2] No such file or directory: '/data/pretrained_models/ldm/text2img-large/model.ckpt'
The path to the .ckpt file is due to the default argument setting:
parser.add_argument(
"--ckpt_path",
type=str,
default="/data/pretrained_models/ldm/text2img-large/model.ckpt",
help="Path to pretrained ldm text2img model")
Which path should be used? The one in the instructions? The one in the argument parsing?
Also, that default file path is not portable to Windows. Is it possible to use a relative path instead so that it is portable?
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