Windows 11, new user/installer - OSError: Incorrect path_or_model_id

[17CS]

(I'm Installing on windows but, did not use powershell)
Followed instructions from this video but, on the setup page things have changed so I went through step by step
As far as I know, everything was installed without errors, etc.
https://youtu.be/wTIfxdFoXm8?si=LHkdpVu6_atC5CMa

To startup MagicQuill in command prompt I used

C:\AI-Installers\MagicQuill>conda activate MagicQuill
(MagicQuill) C:\AI-Installers\MagicQuill>set CUDA_VISIBLE_DEVICES=0 && python gradio_run.py

Then I got this Error and I don't know how to fix it/make it work.

Total VRAM 16376 MB, total RAM 130831 MB
pytorch version: 2.1.2+cu118
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA GeForce RTX 4080 SUPER : native
Using pytorch cross attention
['C:\AI-Installers\MagicQuill', 'C:\Users\colto\.conda\envs\MagicQuill\python310.zip', 'C:\Users\colto\.conda\envs\MagicQuill\DLLs', 'C:\Users\colto\.conda\envs\MagicQuill\lib', 'C:\Users\colto\.conda\envs\MagicQuill', 'C:\Users\colto\.conda\envs\MagicQuill\lib\site-packages', 'editable.llava-1.2.2.post1.finder.path_hook', 'C:\AI-Installers\MagicQuill\MagicQuill']
Traceback (most recent call last):
File "C:\Users\colto.conda\envs\MagicQuill\lib\site-packages\transformers\utils\hub.py", line 385, in cached_file
resolved_file = hf_hub_download(
File "C:\Users\colto.conda\envs\MagicQuill\lib\site-packages\huggingface_hub\utils_validators.py", line 106, in inner_fn
validate_repo_id(arg_value)
File "C:\Users\colto.conda\envs\MagicQuill\lib\site-packages\huggingface_hub\utils_validators.py", line 160, in validate_repo_id
raise HFValidationError(
huggingface_hub.errors.HFValidationError: Repo id must use alphanumeric chars or '-', '', '.', '--' and '..' are forbidden, '-' and '.' cannot start or end the name, max length is 96: 'C:\AI-Installers\MagicQuill\models\llava-v1.5-7b-finetune-clean'.

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "C:\AI-Installers\MagicQuill\gradio_run.py", line 24, in
llavaModel = LLaVAModel()
File "C:\AI-Installers\MagicQuill\MagicQuill\llava_new.py", line 26, in init
self.tokenizer, self.model, self.image_processor, self.context_len = load_pretrained_model(
File "C:\AI-Installers\MagicQuill\MagicQuill\LLaVA\llava\model\builder.py", line 116, in load_pretrained_model
tokenizer = AutoTokenizer.from_pretrained(model_path, use_fast=False)
File "C:\Users\colto.conda\envs\MagicQuill\lib\site-packages\transformers\models\auto\tokenization_auto.py", line 758, in from_pretrained
tokenizer_config = get_tokenizer_config(pretrained_model_name_or_path, **kwargs)
File "C:\Users\colto.conda\envs\MagicQuill\lib\site-packages\transformers\models\auto\tokenization_auto.py", line 590, in get_tokenizer_config
resolved_config_file = cached_file(
File "C:\Users\colto.conda\envs\MagicQuill\lib\site-packages\transformers\utils\hub.py", line 450, in cached_file
raise EnvironmentError(
OSError: Incorrect path_or_model_id: 'C:\AI-Installers\MagicQuill\models\llava-v1.5-7b-finetune-clean'. Please provide either the path to a local folder or the repo_id of a model on the Hub.

(MagicQuill) C:\AI-Installers\MagicQuill>

SO then I tried this

(MagicQuill) C:\AI-Installers\MagicQuill>python gradio_run.py

And I got this error, please help.

Total VRAM 16376 MB, total RAM 130831 MB
pytorch version: 2.1.2+cu118
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA GeForce RTX 4080 SUPER : native
Using pytorch cross attention
['C:\AI-Installers\MagicQuill', 'C:\Users\colto\.conda\envs\MagicQuill\python310.zip', 'C:\Users\colto\.conda\envs\MagicQuill\DLLs', 'C:\Users\colto\.conda\envs\MagicQuill\lib', 'C:\Users\colto\.conda\envs\MagicQuill', 'C:\Users\colto\.conda\envs\MagicQuill\lib\site-packages', 'editable.llava-1.2.2.post1.finder.path_hook', 'C:\AI-Installers\MagicQuill\MagicQuill']
Traceback (most recent call last):
File "C:\Users\colto.conda\envs\MagicQuill\lib\site-packages\transformers\utils\hub.py", line 385, in cached_file
resolved_file = hf_hub_download(
File "C:\Users\colto.conda\envs\MagicQuill\lib\site-packages\huggingface_hub\utils_validators.py", line 106, in inner_fn
validate_repo_id(arg_value)
File "C:\Users\colto.conda\envs\MagicQuill\lib\site-packages\huggingface_hub\utils_validators.py", line 160, in validate_repo_id
raise HFValidationError(
huggingface_hub.errors.HFValidationError: Repo id must use alphanumeric chars or '-', '', '.', '--' and '..' are forbidden, '-' and '.' cannot start or end the name, max length is 96: 'C:\AI-Installers\MagicQuill\models\llava-v1.5-7b-finetune-clean'.

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "C:\AI-Installers\MagicQuill\gradio_run.py", line 24, in
llavaModel = LLaVAModel()
File "C:\AI-Installers\MagicQuill\MagicQuill\llava_new.py", line 26, in init
self.tokenizer, self.model, self.image_processor, self.context_len = load_pretrained_model(
File "C:\AI-Installers\MagicQuill\MagicQuill\LLaVA\llava\model\builder.py", line 116, in load_pretrained_model
tokenizer = AutoTokenizer.from_pretrained(model_path, use_fast=False)
File "C:\Users\colto.conda\envs\MagicQuill\lib\site-packages\transformers\models\auto\tokenization_auto.py", line 758, in from_pretrained
tokenizer_config = get_tokenizer_config(pretrained_model_name_or_path, **kwargs)
File "C:\Users\colto.conda\envs\MagicQuill\lib\site-packages\transformers\models\auto\tokenization_auto.py", line 590, in get_tokenizer_config
resolved_config_file = cached_file(
File "C:\Users\colto.conda\envs\MagicQuill\lib\site-packages\transformers\utils\hub.py", line 450, in cached_file
raise EnvironmentError(
OSError: Incorrect path_or_model_id: 'C:\AI-Installers\MagicQuill\models\llava-v1.5-7b-finetune-clean'. Please provide either the path to a local folder or the repo_id of a model on the Hub.

(MagicQuill) C:\AI-Installers\MagicQuill>

[Looz-Ashae]

Check the issue
#54