jaketae
commented
1 year ago Hello, thanks for opening this issue. Based on a quick search, it seems that the issue has to do with the Python and torch versions. Some things that come to my mind:
- Make sure you have the most up-to-date version of numpy installed.
- Downgrade your Python version to 3.9 (check
python -V) as per here. - Try a different torch version as per here.
This isn't an issue with this project per se, but happy to help with your setup. Good luck!
Tobe2d
stale[bot]
I am getting the error below while I hace installed numpy-1.22.4
storyteller [nltk_data] Downloading package punkt to [nltk_data] C:\Users\xxx\AppData\Roaming\nltk_data... [nltk_data] Package punkt is already up-to-date! Fetching 16 files: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 16/16 [00:00<00:00, 5335.42it/s] Traceback (most recent call last): File "C:\Users\xxx\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\xxx\AppData\Local\Programs\Python\Python310\lib\runpy.py", line 86, in _run_code exec(code, run_globals) File "C:\Users\xxx\AppData\Local\Programs\Python\Python310\Scripts\storyteller.exe__main.py", line 7, in
File "E:\Ai Project\storyteller\storyteller__main.py", line 18, in main
story_teller = StoryTeller.from_default()
File "E:\AiProject\storyteller\storyteller\model.py", line 46, in from_default
return cls(config)
File "E:\AiProject\storyteller\storyteller\model.py", line 34, in init
self.painter = StableDiffusionPipeline.from_pretrained(
File "C:\Users\xxx\AppData\Local\Programs\Python\Python310\lib\site-packages\diffusers\pipeline_utils.py", line 708, in from_pretrained
loaded_sub_model = load_method(os.path.join(cached_folder, name), loading_kwargs)
File "C:\Users\xxx\AppData\Local\Programs\Python\Python310\lib\site-packages\diffusers\schedulers\scheduling_utils.py", line 124, in from_pretrained
return cls.from_config(config, return_unused_kwargs=return_unused_kwargs, kwargs)
File "C:\Users\xxx\AppData\Local\Programs\Python\Python310\lib\site-packages\diffusers\configuration_utils.py", line 210, in from_config
model = cls(*init_dict)
File "C:\Users\xxx\AppData\Local\Programs\Python\Python310\lib\site-packages\diffusers\configuration_utils.py", line 567, in inner_init
init(self, args, **init_kwargs)
File "C:\Users\xxx\AppData\Local\Programs\Python\Python310\lib\site-packages\diffusers\schedulers\scheduling_ddim.py", line 170, in init__
self.timesteps = torch.from_numpy(np.arange(0, num_train_timesteps)[::-1].copy().astype(np.int64))
RuntimeError: Numpy is not available