NPM installation issue — Part 2

No, none of that helped. I did get a whole shitload of error messages, though. I'm wondering if any of this will help. Also, who is the OpenAI directory? I don't see it anywhere in the file manager.

darren@ougway:~/ai/stable-diffusion-webui$ rm -rf venv
darren@ougway:~/ai/stable-diffusion-webui$ rm -rf repositories
darren@ougway:~/ai/stable-diffusion-webui$ ./webui.sh –xformers

Install script for stable-diffusion + Web UI
Tested on Debian 11 (Bullseye), Fedora 34+ and openSUSE Leap 15.4 or newer.

Running on darren user

Repo already cloned, using it as install directory

Create and activate python venv

Requirement already satisfied: pip in ./venv/lib/python3.10/site-packages (23.0.1)
Collecting pip
Using cached pip-25.3-py3-none-any.whl (1.8 MB)
Installing collected packages: pip
Attempting uninstall: pip
Found existing installation: pip 23.0.1
Uninstalling pip-23.0.1:
Successfully uninstalled pip-23.0.1
Successfully installed pip-25.3

Launching launch.py…

glibc version is 2.39
Cannot locate TCMalloc. Do you have tcmalloc or google-perftool installed on your system? (improves CPU memory usage)
Python 3.10.14 (main, Nov 16 2025, 19:17:45) [GCC 13.3.0]
Version: v1.10.1
Commit hash: 82a973c04367123ae98bd9abdf80d9eda9b910e2
Installing torch and torchvision
Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/cu121
Collecting torch==2.1.2
Using cached https://download.pytorch.org/whl/cu121/torch-2.1.2%2Bcu121-cp310-cp310-linux_x86_64.whl (2200.7 MB)
Collecting torchvision==0.16.2
Using cached https://download.pytorch.org/whl/cu121/torchvision-0.16.2%2Bcu121-cp310-cp310-linux_x86_64.whl (6.8 MB)
Collecting filelock (from torch==2.1.2)
Using cached filelock-3.20.0-py3-none-any.whl.metadata (2.1 kB)
Collecting typing-extensions (from torch==2.1.2)
Using cached https://download.pytorch.org/whl/typing_extensions-4.15.0-py3-none-any.whl.metadata (3.3 kB)
Collecting sympy (from torch==2.1.2)
Using cached https://download.pytorch.org/whl/sympy-1.14.0-py3-none-any.whl.metadata (12 kB)
Collecting networkx (from torch==2.1.2)
Using cached https://download.pytorch.org/whl/networkx-3.5-py3-none-any.whl.metadata (6.3 kB)
Collecting jinja2 (from torch==2.1.2)
Using cached https://download.pytorch.org/whl/jinja2-3.1.6-py3-none-any.whl.metadata (2.9 kB)
Collecting fsspec (from torch==2.1.2)
Using cached fsspec-2025.10.0-py3-none-any.whl.metadata (10 kB)
Collecting triton==2.1.0 (from torch==2.1.2)
Using cached https://download.pytorch.org/whl/triton-2.1.0-0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89.2 MB)
Collecting numpy (from torchvision==0.16.2)
Using cached numpy-2.2.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (62 kB)
Collecting requests (from torchvision==0.16.2)
Using cached requests-2.32.5-py3-none-any.whl.metadata (4.9 kB)
Collecting pillow!=8.3.*,>=5.3.0 (from torchvision==0.16.2)
Using cached pillow-12.0.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (8.8 kB)
Collecting MarkupSafe>=2.0 (from jinja2->torch==2.1.2)
Using cached markupsafe-3.0.3-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.metadata (2.7 kB)
INFO: pip is looking at multiple versions of networkx to determine which version is compatible with other requirements. This could take a while.
Collecting networkx (from torch==2.1.2)
Using cached networkx-3.4.2-py3-none-any.whl.metadata (6.3 kB)
Collecting charset_normalizer<4,>=2 (from requests->torchvision==0.16.2)
Using cached charset_normalizer-3.4.4-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.metadata (37 kB)
Collecting idna<4,>=2.5 (from requests->torchvision==0.16.2)
Using cached idna-3.11-py3-none-any.whl.metadata (8.4 kB)
Collecting urllib3<3,>=1.21.1 (from requests->torchvision==0.16.2)
Using cached urllib3-2.5.0-py3-none-any.whl.metadata (6.5 kB)
Collecting certifi>=2017.4.17 (from requests->torchvision==0.16.2)
Using cached certifi-2025.11.12-py3-none-any.whl.metadata (2.5 kB)
Collecting mpmath<1.4,>=1.1.0 (from sympy->torch==2.1.2)
Using cached https://download.pytorch.org/whl/mpmath-1.3.0-py3-none-any.whl (536 kB)
Using cached pillow-12.0.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (7.0 MB)
Using cached filelock-3.20.0-py3-none-any.whl (16 kB)
Using cached fsspec-2025.10.0-py3-none-any.whl (200 kB)
Using cached https://download.pytorch.org/whl/jinja2-3.1.6-py3-none-any.whl (134 kB)
Using cached markupsafe-3.0.3-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (20 kB)
Using cached networkx-3.4.2-py3-none-any.whl (1.7 MB)
Using cached numpy-2.2.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (16.8 MB)
Using cached requests-2.32.5-py3-none-any.whl (64 kB)
Using cached charset_normalizer-3.4.4-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (153 kB)
Using cached idna-3.11-py3-none-any.whl (71 kB)
Using cached urllib3-2.5.0-py3-none-any.whl (129 kB)
Using cached certifi-2025.11.12-py3-none-any.whl (159 kB)
Using cached https://download.pytorch.org/whl/sympy-1.14.0-py3-none-any.whl (6.3 MB)
Using cached https://download.pytorch.org/whl/typing_extensions-4.15.0-py3-none-any.whl (44 kB)
Installing collected packages: mpmath, urllib3, typing-extensions, sympy, pillow, numpy, networkx, MarkupSafe, idna, fsspec, filelock, charset_normalizer, certifi, triton, requests, jinja2, torch, torchvision
Successfully installed MarkupSafe-3.0.3 certifi-2025.11.12 charset_normalizer-3.4.4 filelock-3.20.0 fsspec-2025.10.0 idna-3.11 jinja2-3.1.6 mpmath-1.3.0 networkx-3.4.2 numpy-2.2.6 pillow-12.0.0 requests-2.32.5 sympy-1.14.0 torch-2.1.2+cu121 torchvision-0.16.2+cu121 triton-2.1.0 typing-extensions-4.15.0 urllib3-2.5.0
Installing clip
Installing open_clip
Installing xformers
Cloning assets into /home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-webui-assets…
Cloning into '/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-webui-assets'…
remote: Enumerating objects: 20, done.
remote: Counting objects: 100% (20/20), done.
remote: Compressing objects: 100% (18/18), done.
remote: Total 20 (delta 0), reused 20 (delta 0), pack-reused 0 (from 0)
Receiving objects: 100% (20/20), 132.70 KiB | 1.09 MiB/s, done.
Cloning Stable Diffusion into /home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai…
Cloning into '/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai'…
remote: Enumerating objects: 586, done.
remote: Counting objects: 100% (6/6), done.
remote: Compressing objects: 100% (6/6), done.
remote: Total 586 (delta 1), reused 0 (delta 0), pack-reused 580 (from 4)
Receiving objects: 100% (586/586), 73.45 MiB | 6.58 MiB/s, done.
Resolving deltas: 100% (282/282), done.
Cloning Stable Diffusion XL into /home/darren/ai/stable-diffusion-webui/repositories/generative-models…
Cloning into '/home/darren/ai/stable-diffusion-webui/repositories/generative-models'…
remote: Enumerating objects: 1140, done.
remote: Counting objects: 100% (534/534), done.
remote: Compressing objects: 100% (156/156), done.
remote: Total 1140 (delta 422), reused 383 (delta 378), pack-reused 606 (from 3)
Receiving objects: 100% (1140/1140), 86.66 MiB | 6.49 MiB/s, done.
Resolving deltas: 100% (604/604), done.
Cloning K-diffusion into /home/darren/ai/stable-diffusion-webui/repositories/k-diffusion…
Cloning into '/home/darren/ai/stable-diffusion-webui/repositories/k-diffusion'…
remote: Enumerating objects: 1350, done.
remote: Counting objects: 100% (651/651), done.
remote: Compressing objects: 100% (87/87), done.
remote: Total 1350 (delta 608), reused 566 (delta 564), pack-reused 699 (from 1)
Receiving objects: 100% (1350/1350), 239.59 KiB | 2.16 MiB/s, done.
Resolving deltas: 100% (948/948), done.
Cloning BLIP into /home/darren/ai/stable-diffusion-webui/repositories/BLIP…
Cloning into '/home/darren/ai/stable-diffusion-webui/repositories/BLIP'…
remote: Enumerating objects: 277, done.
remote: Counting objects: 100% (189/189), done.
remote: Compressing objects: 100% (49/49), done.
remote: Total 277 (delta 149), reused 140 (delta 140), pack-reused 88 (from 1)
Receiving objects: 100% (277/277), 7.04 MiB | 6.31 MiB/s, done.
Resolving deltas: 100% (152/152), done.
Installing requirements
Launching Web UI with arguments: –xformers
/home/darren/ai/stable-diffusion-webui/venv/lib/python3.10/site-packages/timm/models/layers/init.py:48: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers
warnings.warn(f"Importing from {name} is deprecated, please import via timm.layers", FutureWarning)
Loading weights [6ce0161689] from /home/darren/ai/stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.safetensors
Running on local URL: http://127.0.0.1:7860

To create a public link, set share=True in launch().
Creating model from config: /home/darren/ai/stable-diffusion-webui/configs/v1-inference.yaml
/home/darren/ai/stable-diffusion-webui/venv/lib/python3.10/site-packages/huggingface_hub/file_download.py:942: FutureWarning: resume_download is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use force_download=True.
warnings.warn(
creating model quickly: OSError
Traceback (most recent call last):
File "/home/darren/.pyenv/versions/3.10.14/lib/python3.10/threading.py", line 973, in _bootstrap
self._bootstrap_inner()
File "/home/darren/.pyenv/versions/3.10.14/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
self.run()
File "/home/darren/.pyenv/versions/3.10.14/lib/python3.10/threading.py", line 953, in run
self._target(self._args, self._kwargs)
File "/home/darren/ai/stable-diffusion-webui/modules/initialize.py", line 149, in load_model
shared.sd_model # noqa: B018
File "/home/darren/ai/stable-diffusion-webui/modules/shared_items.py", line 175, in sd_model
return modules.sd_models.model_data.get_sd_model()
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 693, in get_sd_model
load_model()
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 820, in load_model
sd_model = instantiate_from_config(sd_config.model, state_dict)
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 775, in instantiate_from_config
return constructor(params)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 563, in init
self.instantiate_cond_stage(cond_stage_config)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 630, in instantiate_cond_stage
model = instantiate_from_config(config)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/util.py", line 89, in instantiate_from_config
return get_obj_from_str(config["target"])(*config.get("params", dict()))
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/encoders/modules.py", line 103, in init
self.tokenizer = CLIPTokenizer.from_pretrained(version)
File "/home/darren/ai/stable-diffusion-webui/venv/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 1809, in from_pretrained
raise EnvironmentError(
OSError: Can't load tokenizer for 'openai/clip-vit-large-patch14'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'openai/clip-vit-large-patch14' is the correct path to a directory containing all relevant files for a CLIPTokenizer tokenizer.

Failed to create model quickly; will retry using slow method.
loading stable diffusion model: OSError
Traceback (most recent call last):
File "/home/darren/.pyenv/versions/3.10.14/lib/python3.10/threading.py", line 973, in _bootstrap
self._bootstrap_inner()
File "/home/darren/.pyenv/versions/3.10.14/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
self.run()
File "/home/darren/.pyenv/versions/3.10.14/lib/python3.10/threading.py", line 953, in run
self._target(self._args, self._kwargs)
File "/home/darren/ai/stable-diffusion-webui/modules/initialize.py", line 149, in load_model
shared.sd_model # noqa: B018
File "/home/darren/ai/stable-diffusion-webui/modules/shared_items.py", line 175, in sd_model
return modules.sd_models.model_data.get_sd_model()
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 693, in get_sd_model
load_model()
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 829, in load_model
sd_model = instantiate_from_config(sd_config.model, state_dict)
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 775, in instantiate_from_config
return constructor(params)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 563, in init
self.instantiate_cond_stage(cond_stage_config)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 630, in instantiate_cond_stage
model = instantiate_from_config(config)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/util.py", line 89, in instantiate_from_config
return get_obj_from_str(config["target"])(*config.get("params", dict()))
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/encoders/modules.py", line 103, in init
self.tokenizer = CLIPTokenizer.from_pretrained(version)
File "/home/darren/ai/stable-diffusion-webui/venv/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 1809, in from_pretrained
raise EnvironmentError(
OSError: Can't load tokenizer for 'openai/clip-vit-large-patch14'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'openai/clip-vit-large-patch14' is the correct path to a directory containing all relevant files for a CLIPTokenizer tokenizer.

Stable diffusion model failed to load
Applying attention optimization: xformers… done.
Startup time: 153.1s (prepare environment: 146.1s, import torch: 2.9s, import gradio: 0.6s, setup paths: 1.0s, initialize shared: 0.4s, other imports: 0.3s, load scripts: 0.6s, create ui: 0.4s, gradio launch: 0.8s).
Loading weights [6ce0161689] from /home/darren/ai/stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.safetensors
Creating model from config: /home/darren/ai/stable-diffusion-webui/configs/v1-inference.yaml
/home/darren/ai/stable-diffusion-webui/venv/lib/python3.10/site-packages/huggingface_hub/file_download.py:942: FutureWarning: resume_download is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use force_download=True.
warnings.warn(
creating model quickly: OSError
Traceback (most recent call last):
File "/home/darren/.pyenv/versions/3.10.14/lib/python3.10/threading.py", line 973, in _bootstrap
self._bootstrap_inner()
File "/home/darren/.pyenv/versions/3.10.14/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
self.run()
File "/home/darren/ai/stable-diffusion-webui/venv/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 807, in run
result = context.run(func, args)
File "/home/darren/ai/stable-diffusion-webui/venv/lib/python3.10/site-packages/gradio/utils.py", line 707, in wrapper
response = f(args, kwargs)
File "/home/darren/ai/stable-diffusion-webui/modules/ui.py", line 1165, in <lambda>
update_image_cfg_scale_visibility = lambda: gr.update(visible=shared.sd_model and shared.sd_model.cond_stage_key == "edit")
File "/home/darren/ai/stable-diffusion-webui/modules/shared_items.py", line 175, in sd_model
return modules.sd_models.model_data.get_sd_model()
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 693, in get_sd_model
load_model()
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 820, in load_model
sd_model = instantiate_from_config(sd_config.model, state_dict)
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 775, in instantiate_from_config
return constructor(params)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 563, in init
self.instantiate_cond_stage(cond_stage_config)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 630, in instantiate_cond_stage
model = instantiate_from_config(config)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/util.py", line 89, in instantiate_from_config
return get_obj_from_str(config["target"])(**config.get("params", dict()))
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/encoders/modules.py", line 103, in init
self.tokenizer = CLIPTokenizer.from_pretrained(version)
File "/home/darren/ai/stable-diffusion-webui/venv/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 1809, in from_pretrained
raise EnvironmentError(
OSError: Can't load tokenizer for 'openai/clip-vit-large-patch14'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'openai/clip-vit-large-patch14' is the correct path to a directory containing all relevant files for a CLIPTokenizer tokenizer.

Failed to create model quickly; will retry using slow method.
loading stable diffusion model: OSError
Traceback (most recent call last):
File "/home/darren/.pyenv/versions/3.10.14/lib/python3.10/threading.py", line 973, in _bootstrap
self._bootstrap_inner()
File "/home/darren/.pyenv/versions/3.10.14/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
self.run()
File "/home/darren/ai/stable-diffusion-webui/venv/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 807, in run
result = context.run(func, args)
File "/home/darren/ai/stable-diffusion-webui/venv/lib/python3.10/site-packages/gradio/utils.py", line 707, in wrapper
response = f(args, kwargs)
File "/home/darren/ai/stable-diffusion-webui/modules/ui.py", line 1165, in <lambda>
update_image_cfg_scale_visibility = lambda: gr.update(visible=shared.sd_model and shared.sd_model.cond_stage_key == "edit")
File "/home/darren/ai/stable-diffusion-webui/modules/shared_items.py", line 175, in sd_model
return modules.sd_models.model_data.get_sd_model()
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 693, in get_sd_model
load_model()
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 829, in load_model
sd_model = instantiate_from_config(sd_config.model, state_dict)
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 775, in instantiate_from_config
return constructor(params)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 563, in init
self.instantiate_cond_stage(cond_stage_config)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 630, in instantiate_cond_stage
model = instantiate_from_config(config)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/util.py", line 89, in instantiate_from_config
return get_obj_from_str(config["target"])(**config.get("params", dict()))
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/encoders/modules.py", line 103, in init
self.tokenizer = CLIPTokenizer.from_pretrained(version)
File "/home/darren/ai/stable-diffusion-webui/venv/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 1809, in from_pretrained
raise EnvironmentError(
OSError: Can't load tokenizer for 'openai/clip-vit-large-patch14'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'openai/clip-vit-large-patch14' is the correct path to a directory containing all relevant files for a CLIPTokenizer tokenizer.

Stable diffusion model failed to load
Loading weights [6ce0161689] from /home/darren/ai/stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.safetensors
Creating model from config: /home/darren/ai/stable-diffusion-webui/configs/v1-inference.yaml
creating model quickly: OSError
Traceback (most recent call last):
File "/home/darren/.pyenv/versions/3.10.14/lib/python3.10/threading.py", line 973, in _bootstrap
self._bootstrap_inner()
File "/home/darren/.pyenv/versions/3.10.14/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
self.run()
File "/home/darren/ai/stable-diffusion-webui/venv/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 807, in run
result = context.run(func, args)
File "/home/darren/ai/stable-diffusion-webui/venv/lib/python3.10/site-packages/gradio/utils.py", line 707, in wrapper
response = f(args, kwargs)
File "/home/darren/ai/stable-diffusion-webui/modules/call_queue.py", line 74, in f
res = list(func(*args, kwargs))
File "/home/darren/ai/stable-diffusion-webui/modules/call_queue.py", line 53, in f
res = func(args, kwargs)
File "/home/darren/ai/stable-diffusion-webui/modules/call_queue.py", line 37, in f
res = func(args, kwargs)
File "/home/darren/ai/stable-diffusion-webui/modules/txt2img.py", line 103, in txt2img
p = txt2img_create_processing(id_task, request, *args)
File "/home/darren/ai/stable-diffusion-webui/modules/txt2img.py", line 21, in txt2img_create_processing
sd_model=shared.sd_model,
File "/home/darren/ai/stable-diffusion-webui/modules/shared_items.py", line 175, in sd_model
return modules.sd_models.model_data.get_sd_model()
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 693, in get_sd_model
load_model()
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 820, in load_model
sd_model = instantiate_from_config(sd_config.model, state_dict)
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 775, in instantiate_from_config
return constructor(params)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 563, in init
self.instantiate_cond_stage(cond_stage_config)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 630, in instantiate_cond_stage
model = instantiate_from_config(config)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/util.py", line 89, in instantiate_from_config
return get_obj_from_str(config["target"])(**config.get("params", dict()))
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/encoders/modules.py", line 103, in init
self.tokenizer = CLIPTokenizer.from_pretrained(version)
File "/home/darren/ai/stable-diffusion-webui/venv/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 1809, in from_pretrained
raise EnvironmentError(
OSError: Can't load tokenizer for 'openai/clip-vit-large-patch14'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'openai/clip-vit-large-patch14' is the correct path to a directory containing all relevant files for a CLIPTokenizer tokenizer.

Failed to create model quickly; will retry using slow method.
loading stable diffusion model: OSError
Traceback (most recent call last):
File "/home/darren/.pyenv/versions/3.10.14/lib/python3.10/threading.py", line 973, in _bootstrap
self._bootstrap_inner()
File "/home/darren/.pyenv/versions/3.10.14/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
self.run()
File "/home/darren/ai/stable-diffusion-webui/venv/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 807, in run
result = context.run(func, args)
File "/home/darren/ai/stable-diffusion-webui/venv/lib/python3.10/site-packages/gradio/utils.py", line 707, in wrapper
response = f(args, kwargs)
File "/home/darren/ai/stable-diffusion-webui/modules/call_queue.py", line 74, in f
res = list(func(*args, kwargs))
File "/home/darren/ai/stable-diffusion-webui/modules/call_queue.py", line 53, in f
res = func(args, kwargs)
File "/home/darren/ai/stable-diffusion-webui/modules/call_queue.py", line 37, in f
res = func(args, kwargs)
File "/home/darren/ai/stable-diffusion-webui/modules/txt2img.py", line 103, in txt2img
p = txt2img_create_processing(id_task, request, *args)
File "/home/darren/ai/stable-diffusion-webui/modules/txt2img.py", line 21, in txt2img_create_processing
sd_model=shared.sd_model,
File "/home/darren/ai/stable-diffusion-webui/modules/shared_items.py", line 175, in sd_model
return modules.sd_models.model_data.get_sd_model()
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 693, in get_sd_model
load_model()
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 829, in load_model
sd_model = instantiate_from_config(sd_config.model, state_dict)
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 775, in instantiate_from_config
return constructor(params)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 563, in init
self.instantiate_cond_stage(cond_stage_config)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 630, in instantiate_cond_stage
model = instantiate_from_config(config)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/util.py", line 89, in instantiate_from_config
return get_obj_from_str(config["target"])(**config.get("params", dict()))
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/encoders/modules.py", line 103, in init
self.tokenizer = CLIPTokenizer.from_pretrained(version)
File "/home/darren/ai/stable-diffusion-webui/venv/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 1809, in from_pretrained
raise EnvironmentError(
OSError: Can't load tokenizer for 'openai/clip-vit-large-patch14'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'openai/clip-vit-large-patch14' is the correct path to a directory containing all relevant files for a CLIPTokenizer tokenizer.

Stable diffusion model failed to load
Loading weights [6ce0161689] from /home/darren/ai/stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.safetensors
Creating model from config: /home/darren/ai/stable-diffusion-webui/configs/v1-inference.yaml
creating model quickly: OSError
Traceback (most recent call last):
File "/home/darren/.pyenv/versions/3.10.14/lib/python3.10/threading.py", line 973, in _bootstrap
self._bootstrap_inner()
File "/home/darren/.pyenv/versions/3.10.14/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
self.run()
File "/home/darren/ai/stable-diffusion-webui/venv/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 807, in run
result = context.run(func, args)
File "/home/darren/ai/stable-diffusion-webui/venv/lib/python3.10/site-packages/gradio/utils.py", line 707, in wrapper
response = f(args, kwargs)
File "/home/darren/ai/stable-diffusion-webui/modules/call_queue.py", line 74, in f
res = list(func(*args, kwargs))
File "/home/darren/ai/stable-diffusion-webui/modules/call_queue.py", line 53, in f
res = func(args, kwargs)
File "/home/darren/ai/stable-diffusion-webui/modules/call_queue.py", line 37, in f
res = func(args, kwargs)
File "/home/darren/ai/stable-diffusion-webui/modules/txt2img.py", line 109, in txt2img
processed = processing.process_images(p)
File "/home/darren/ai/stable-diffusion-webui/modules/processing.py", line 830, in process_images
sd_models.reload_model_weights()
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 977, in reload_model_weights
load_model(checkpoint_info, already_loaded_state_dict=state_dict)
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 820, in load_model
sd_model = instantiate_from_config(sd_config.model, state_dict)
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 775, in instantiate_from_config
return constructor(params)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 563, in init
self.instantiate_cond_stage(cond_stage_config)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 630, in instantiate_cond_stage
model = instantiate_from_config(config)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/util.py", line 89, in instantiate_from_config
return get_obj_from_str(config["target"])(**config.get("params", dict()))
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/encoders/modules.py", line 103, in init
self.tokenizer = CLIPTokenizer.from_pretrained(version)
File "/home/darren/ai/stable-diffusion-webui/venv/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 1809, in from_pretrained
raise EnvironmentError(
OSError: Can't load tokenizer for 'openai/clip-vit-large-patch14'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'openai/clip-vit-large-patch14' is the correct path to a directory containing all relevant files for a CLIPTokenizer tokenizer.

Failed to create model quickly; will retry using slow method.
Loading weights [6ce0161689] from /home/darren/ai/stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.safetensors
Creating model from config: /home/darren/ai/stable-diffusion-webui/configs/v1-inference.yaml
creating model quickly: OSError
Traceback (most recent call last):
File "/home/darren/ai/stable-diffusion-webui/modules/processing.py", line 830, in process_images
sd_models.reload_model_weights()
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 977, in reload_model_weights
load_model(checkpoint_info, already_loaded_state_dict=state_dict)
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 829, in load_model
sd_model = instantiate_from_config(sd_config.model, state_dict)
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 775, in instantiate_from_config
return constructor(params)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 563, in init
self.instantiate_cond_stage(cond_stage_config)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 630, in instantiate_cond_stage
model = instantiate_from_config(config)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/util.py", line 89, in instantiate_from_config
return get_obj_from_str(config["target"])(config.get("params", dict()))
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/encoders/modules.py", line 103, in init
self.tokenizer = CLIPTokenizer.from_pretrained(version)
File "/home/darren/ai/stable-diffusion-webui/venv/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 1809, in from_pretrained
raise EnvironmentError(
OSError: Can't load tokenizer for 'openai/clip-vit-large-patch14'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'openai/clip-vit-large-patch14' is the correct path to a directory containing all relevant files for a CLIPTokenizer tokenizer.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/home/darren/.pyenv/versions/3.10.14/lib/python3.10/threading.py", line 973, in _bootstrap
self._bootstrap_inner()
File "/home/darren/.pyenv/versions/3.10.14/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
self.run()
File "/home/darren/ai/stable-diffusion-webui/venv/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 807, in run
result = context.run(func, args)
File "/home/darren/ai/stable-diffusion-webui/venv/lib/python3.10/site-packages/gradio/utils.py", line 707, in wrapper
response = f(args, kwargs)
File "/home/darren/ai/stable-diffusion-webui/modules/call_queue.py", line 74, in f
res = list(func(*args, kwargs))
File "/home/darren/ai/stable-diffusion-webui/modules/call_queue.py", line 53, in f
res = func(args, kwargs)
File "/home/darren/ai/stable-diffusion-webui/modules/call_queue.py", line 37, in f
res = func(args, kwargs)
File "/home/darren/ai/stable-diffusion-webui/modules/txt2img.py", line 109, in txt2img
processed = processing.process_images(p)
File "/home/darren/ai/stable-diffusion-webui/modules/processing.py", line 850, in process_images
sd_models.apply_token_merging(p.sd_model, 0)
File "/home/darren/ai/stable-diffusion-webui/modules/processing.py", line 263, in sd_model
return shared.sd_model
File "/home/darren/ai/stable-diffusion-webui/modules/shared_items.py", line 175, in sd_model
return modules.sd_models.model_data.get_sd_model()
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 693, in get_sd_model
load_model()
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 820, in load_model
sd_model = instantiate_from_config(sd_config.model, state_dict)
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 775, in instantiate_from_config
return constructor(params)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 563, in init
self.instantiate_cond_stage(cond_stage_config)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 630, in instantiate_cond_stage
model = instantiate_from_config(config)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/util.py", line 89, in instantiate_from_config
return get_obj_from_str(config["target"])(**config.get("params", dict()))
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/encoders/modules.py", line 103, in init
self.tokenizer = CLIPTokenizer.from_pretrained(version)
File "/home/darren/ai/stable-diffusion-webui/venv/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 1809, in from_pretrained
raise EnvironmentError(
OSError: Can't load tokenizer for 'openai/clip-vit-large-patch14'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'openai/clip-vit-large-patch14' is the correct path to a directory containing all relevant files for a CLIPTokenizer tokenizer.

Failed to create model quickly; will retry using slow method.
loading stable diffusion model: OSError
Traceback (most recent call last):
File "/home/darren/ai/stable-diffusion-webui/modules/processing.py", line 830, in process_images
sd_models.reload_model_weights()
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 977, in reload_model_weights
load_model(checkpoint_info, already_loaded_state_dict=state_dict)
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 829, in load_model
sd_model = instantiate_from_config(sd_config.model, state_dict)
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 775, in instantiate_from_config
return constructor(params)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 563, in init
self.instantiate_cond_stage(cond_stage_config)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 630, in instantiate_cond_stage
model = instantiate_from_config(config)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/util.py", line 89, in instantiate_from_config
return get_obj_from_str(config["target"])(config.get("params", dict()))
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/encoders/modules.py", line 103, in init
self.tokenizer = CLIPTokenizer.from_pretrained(version)
File "/home/darren/ai/stable-diffusion-webui/venv/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 1809, in from_pretrained
raise EnvironmentError(
OSError: Can't load tokenizer for 'openai/clip-vit-large-patch14'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'openai/clip-vit-large-patch14' is the correct path to a directory containing all relevant files for a CLIPTokenizer tokenizer.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/home/darren/.pyenv/versions/3.10.14/lib/python3.10/threading.py", line 973, in _bootstrap
self._bootstrap_inner()
File "/home/darren/.pyenv/versions/3.10.14/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
self.run()
File "/home/darren/ai/stable-diffusion-webui/venv/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 807, in run
result = context.run(func, args)
File "/home/darren/ai/stable-diffusion-webui/venv/lib/python3.10/site-packages/gradio/utils.py", line 707, in wrapper
response = f(args, kwargs)
File "/home/darren/ai/stable-diffusion-webui/modules/call_queue.py", line 74, in f
res = list(func(*args, kwargs))
File "/home/darren/ai/stable-diffusion-webui/modules/call_queue.py", line 53, in f
res = func(args, kwargs)
File "/home/darren/ai/stable-diffusion-webui/modules/call_queue.py", line 37, in f
res = func(args, kwargs)
File "/home/darren/ai/stable-diffusion-webui/modules/txt2img.py", line 109, in txt2img
processed = processing.process_images(p)
File "/home/darren/ai/stable-diffusion-webui/modules/processing.py", line 850, in process_images
sd_models.apply_token_merging(p.sd_model, 0)
File "/home/darren/ai/stable-diffusion-webui/modules/processing.py", line 263, in sd_model
return shared.sd_model
File "/home/darren/ai/stable-diffusion-webui/modules/shared_items.py", line 175, in sd_model
return modules.sd_models.model_data.get_sd_model()
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 693, in get_sd_model
load_model()
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 829, in load_model
sd_model = instantiate_from_config(sd_config.model, state_dict)
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 775, in instantiate_from_config
return constructor(params)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 563, in init
self.instantiate_cond_stage(cond_stage_config)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 630, in instantiate_cond_stage
model = instantiate_from_config(config)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/util.py", line 89, in instantiate_from_config
return get_obj_from_str(config["target"])(**config.get("params", dict()))
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/encoders/modules.py", line 103, in init
self.tokenizer = CLIPTokenizer.from_pretrained(version)
File "/home/darren/ai/stable-diffusion-webui/venv/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 1809, in from_pretrained
raise EnvironmentError(
OSError: Can't load tokenizer for 'openai/clip-vit-large-patch14'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'openai/clip-vit-large-patch14' is the correct path to a directory containing all relevant files for a CLIPTokenizer tokenizer.

Stable diffusion model failed to load
*** Error completing request
*** Arguments: ('task(9teruk8o4jp3kqy)', <gradio.routes.Request object at 0x79642192ecb0>, 'gold torus', '', [], 1, 1, 7, 512, 512, False, 0.7, 2, 'Latent', 0, 0, 0, 'Use same checkpoint', 'Use same sampler', 'Use same scheduler', '', '', [], 0, 20, 'DPM++ 2M', 'Automatic', False, '', 0.8, -1, False, -1, 0, 0, 0, False, False, 'positive', 'comma', 0, False, False, 'start', '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, False, False, False, 0, False) {}
Traceback (most recent call last):
File "/home/darren/ai/stable-diffusion-webui/modules/call_queue.py", line 74, in f
res = list(func(args, kwargs))
File "/home/darren/ai/stable-diffusion-webui/modules/call_queue.py", line 53, in f
res = func(args, kwargs)
File "/home/darren/ai/stable-diffusion-webui/modules/call_queue.py", line 37, in f
res = func(*args, kwargs)
File "/home/darren/ai/stable-diffusion-webui/modules/txt2img.py", line 109, in txt2img
processed = processing.process_images(p)
File "/home/darren/ai/stable-diffusion-webui/modules/processing.py", line 830, in process_images
sd_models.reload_model_weights()
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 977, in reload_model_weights
load_model(checkpoint_info, already_loaded_state_dict=state_dict)
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 829, in load_model
sd_model = instantiate_from_config(sd_config.model, state_dict)
File "/home/darren/ai/stable-diffusion-webui/modules/sd_models.py", line 775, in instantiate_from_config
return constructor(params)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 563, in init
self.instantiate_cond_stage(cond_stage_config)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 630, in instantiate_cond_stage
model = instantiate_from_config(config)
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/util.py", line 89, in instantiate_from_config
return get_obj_from_str(config["target"])(config.get("params", dict()))
File "/home/darren/ai/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/encoders/modules.py", line 103, in init
self.tokenizer = CLIPTokenizer.from_pretrained(version)
File "/home/darren/ai/stable-diffusion-webui/venv/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 1809, in from_pretrained
raise EnvironmentError(
OSError: Can't load tokenizer for 'openai/clip-vit-large-patch14'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'openai/clip-vit-large-patch14' is the correct path to a directory containing all relevant files for a CLIPTokenizer tokenizer.