[Bug]: Problem loading Checkpoints

[DreckmiN]

Checklist

• The issue exists after disabling all extensions
• The issue exists on a clean installation of webui
• The issue is caused by an extension, but I believe it is caused by a bug in the webui
• The issue exists in the current version of the webui
• The issue has not been reported before recently
• The issue has been reported before but has not been fixed yet

What happened?

When i'm trying to load any checkpoint it just load for an eternity and nothing happens. Computer starts to get REALLY slow after a while.

Steps to reproduce the problem

1. Start A1111
2. Select checkpoint from the drop down list
3. Starts to load
4. Nothing happens
5. Computer start to slowdown somehow

What should have happened?

Load Checkpoint

What browsers do you use to access the UI ?

Google Chrome

Sysinfo

sysinfo-2024-11-03-00-42.json

Console logs

venv "E:\A111\stable-diffusion-webui-amdgpu\venv\Scripts\Python.exe"
Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug  1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Version: v1.10.1-amd-16-g4730df18
Commit hash: 4730df185b557f1453a0f5f79ffd1fa7b36aae54
E:\A111\stable-diffusion-webui-amdgpu\venv\lib\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)
no module 'xformers'. Processing without...
no module 'xformers'. Processing without...
No module 'xformers'. Proceeding without it.
E:\A111\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\utilities\distributed.py:258: LightningDeprecationWarning: `pytorch_lightning.utilities.distributed.rank_zero_only` has been deprecated in v1.8.1 and will be removed in v2.0.0. You can import it from `pytorch_lightning.utilities` instead.
  rank_zero_deprecation(
Launching Web UI with arguments: --use-directml --opt-sub-quad-attention --opt-split-attention-v1
ONNX: version=1.20.0 provider=DmlExecutionProvider, available=['DmlExecutionProvider', 'CPUExecutionProvider']
Checkpoint v1-5-pruned-emaonly.safetensors [6ce0161689] not found; loading fallback prefectPonyXL_v3.safetensors [e31a2563f0]
Loading weights [e31a2563f0] from E:\A111\stable-diffusion-webui-amdgpu\models\Stable-diffusion\prefectPonyXL_v3.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: E:\A111\stable-diffusion-webui-amdgpu\repositories\generative-models\configs\inference\sd_xl_base.yaml
Startup time: 15.0s (prepare environment: 22.1s, initialize shared: 1.6s, load scripts: 0.8s, create ui: 0.4s, gradio launch: 0.6s).
creating model quickly: OSError
Traceback (most recent call last):
  File "E:\A111\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\utils\_http.py", line 406, in hf_raise_for_status
    response.raise_for_status()
  File "E:\A111\stable-diffusion-webui-amdgpu\venv\lib\site-packages\requests\models.py", line 1024, in raise_for_status
    raise HTTPError(http_error_msg, response=self)
requests.exceptions.HTTPError: 401 Client Error: Unauthorized for url: https://huggingface.co/None/resolve/main/config.json

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

Traceback (most recent call last):
  File "E:\A111\stable-diffusion-webui-amdgpu\venv\lib\site-packages\transformers\utils\hub.py", line 403, in cached_file
    resolved_file = hf_hub_download(
  File "E:\A111\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\utils\_validators.py", line 114, in _inner_fn
    return fn(*args, **kwargs)
  File "E:\A111\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\file_download.py", line 862, in hf_hub_download
    return _hf_hub_download_to_cache_dir(
  File "E:\A111\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\file_download.py", line 969, in _hf_hub_download_to_cache_dir
    _raise_on_head_call_error(head_call_error, force_download, local_files_only)
  File "E:\A111\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\file_download.py", line 1484, in _raise_on_head_call_error
    raise head_call_error
  File "E:\A111\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\file_download.py", line 1376, in _get_metadata_or_catch_error
    metadata = get_hf_file_metadata(
  File "E:\A111\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\utils\_validators.py", line 114, in _inner_fn
    return fn(*args, **kwargs)
  File "E:\A111\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\file_download.py", line 1296, in get_hf_file_metadata
    r = _request_wrapper(
  File "E:\A111\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\file_download.py", line 277, in _request_wrapper
    response = _request_wrapper(
  File "E:\A111\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\file_download.py", line 301, in _request_wrapper
    hf_raise_for_status(response)
  File "E:\A111\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\utils\_http.py", line 454, in hf_raise_for_status
    raise _format(RepositoryNotFoundError, message, response) from e
huggingface_hub.errors.RepositoryNotFoundError: 401 Client Error. (Request ID: Root=1-6726c09b-7d2c0f1a1f07d4da39084bc7;c22e7319-db6b-40af-a85e-7ffb36d02b44)

Repository Not Found for url: https://huggingface.co/None/resolve/main/config.json.
Please make sure you specified the correct `repo_id` and `repo_type`.
If you are trying to access a private or gated repo, make sure you are authenticated.
Invalid username or password.

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

Traceback (most recent call last):
  File "E:\Python310\lib\threading.py", line 973, in _bootstrap
    self._bootstrap_inner()
  File "E:\Python310\lib\threading.py", line 1016, in _bootstrap_inner
    self.run()
  File "E:\Python310\lib\threading.py", line 953, in run
    self._target(*self._args, **self._kwargs)
  File "E:\A111\stable-diffusion-webui-amdgpu\modules\initialize.py", line 149, in load_model
    shared.sd_model  # noqa: B018
  File "E:\A111\stable-diffusion-webui-amdgpu\modules\shared_items.py", line 190, in sd_model
    return modules.sd_models.model_data.get_sd_model()
  File "E:\A111\stable-diffusion-webui-amdgpu\modules\sd_models.py", line 693, in get_sd_model
    load_model()
  File "E:\A111\stable-diffusion-webui-amdgpu\modules\sd_models.py", line 831, in load_model
    sd_model = instantiate_from_config(sd_config.model, state_dict)
  File "E:\A111\stable-diffusion-webui-amdgpu\modules\sd_models.py", line 775, in instantiate_from_config
    return constructor(**params)
  File "E:\A111\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\models\diffusion.py", line 61, in __init__
    self.conditioner = instantiate_from_config(
  File "E:\A111\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\util.py", line 175, in instantiate_from_config
    return get_obj_from_str(config["target"])(**config.get("params", dict()))
  File "E:\A111\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\modules\encoders\modules.py", line 88, in __init__
    embedder = instantiate_from_config(embconfig)
  File "E:\A111\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\util.py", line 175, in instantiate_from_config
    return get_obj_from_str(config["target"])(**config.get("params", dict()))
  File "E:\A111\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\modules\encoders\modules.py", line 361, in __init__
    self.transformer = CLIPTextModel.from_pretrained(version)
  File "E:\A111\stable-diffusion-webui-amdgpu\modules\sd_disable_initialization.py", line 68, in CLIPTextModel_from_pretrained
    res = self.CLIPTextModel_from_pretrained(None, *model_args, config=pretrained_model_name_or_path, state_dict={}, **kwargs)
  File "E:\A111\stable-diffusion-webui-amdgpu\venv\lib\site-packages\transformers\modeling_utils.py", line 3506, in from_pretrained
    resolved_config_file = cached_file(
  File "E:\A111\stable-diffusion-webui-amdgpu\venv\lib\site-packages\transformers\utils\hub.py", line 426, in cached_file
    raise EnvironmentError(
OSError: None is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models'
If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=<your_token>`

Failed to create model quickly; will retry using slow method.
E:\A111\stable-diffusion-webui-amdgpu\modules\safe.py:156: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  return unsafe_torch_load(filename, *args, **kwargs)
Loading weights [e31a2563f0] from E:\A111\stable-diffusion-webui-amdgpu\models\Stable-diffusion\prefectPonyXL_v3.safetensors
Creating model from config: E:\A111\stable-diffusion-webui-amdgpu\repositories\generative-models\configs\inference\sd_xl_base.yaml
creating model quickly: OSError
Traceback (most recent call last):
  File "E:\A111\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\utils\_http.py", line 406, in hf_raise_for_status
    response.raise_for_status()
  File "E:\A111\stable-diffusion-webui-amdgpu\venv\lib\site-packages\requests\models.py", line 1024, in raise_for_status
    raise HTTPError(http_error_msg, response=self)
requests.exceptions.HTTPError: 401 Client Error: Unauthorized for url: https://huggingface.co/None/resolve/main/config.json

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

Traceback (most recent call last):
  File "E:\A111\stable-diffusion-webui-amdgpu\venv\lib\site-packages\transformers\utils\hub.py", line 403, in cached_file
    resolved_file = hf_hub_download(
  File "E:\A111\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\utils\_validators.py", line 114, in _inner_fn
    return fn(*args, **kwargs)
  File "E:\A111\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\file_download.py", line 862, in hf_hub_download
    return _hf_hub_download_to_cache_dir(
  File "E:\A111\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\file_download.py", line 969, in _hf_hub_download_to_cache_dir
    _raise_on_head_call_error(head_call_error, force_download, local_files_only)
  File "E:\A111\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\file_download.py", line 1484, in _raise_on_head_call_error
    raise head_call_error
  File "E:\A111\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\file_download.py", line 1376, in _get_metadata_or_catch_error
    metadata = get_hf_file_metadata(
  File "E:\A111\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\utils\_validators.py", line 114, in _inner_fn
    return fn(*args, **kwargs)
  File "E:\A111\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\file_download.py", line 1296, in get_hf_file_metadata
    r = _request_wrapper(
  File "E:\A111\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\file_download.py", line 277, in _request_wrapper
    response = _request_wrapper(
  File "E:\A111\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\file_download.py", line 301, in _request_wrapper
    hf_raise_for_status(response)
  File "E:\A111\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\utils\_http.py", line 454, in hf_raise_for_status
    raise _format(RepositoryNotFoundError, message, response) from e
huggingface_hub.errors.RepositoryNotFoundError: 401 Client Error. (Request ID: Root=1-6726c0a1-542cdd7e0b7cafe004aefb36;29f046f9-84b1-4a10-ab63-961d9fe21f3a)

Repository Not Found for url: https://huggingface.co/None/resolve/main/config.json.
Please make sure you specified the correct `repo_id` and `repo_type`.
If you are trying to access a private or gated repo, make sure you are authenticated.
Invalid username or password.

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

Traceback (most recent call last):
  File "E:\Python310\lib\threading.py", line 973, in _bootstrap
    self._bootstrap_inner()
  File "E:\Python310\lib\threading.py", line 1016, in _bootstrap_inner
    self.run()
  File "E:\A111\stable-diffusion-webui-amdgpu\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 807, in run
    result = context.run(func, *args)
  File "E:\A111\stable-diffusion-webui-amdgpu\venv\lib\site-packages\gradio\utils.py", line 707, in wrapper
    response = f(*args, **kwargs)
  File "E:\A111\stable-diffusion-webui-amdgpu\modules\ui_settings.py", line 316, in <lambda>
    fn=lambda value, k=k: self.run_settings_single(value, key=k),
  File "E:\A111\stable-diffusion-webui-amdgpu\modules\ui_settings.py", line 95, in run_settings_single
    if value is None or not opts.set(key, value):
  File "E:\A111\stable-diffusion-webui-amdgpu\modules\options.py", line 165, in set
    option.onchange()
  File "E:\A111\stable-diffusion-webui-amdgpu\modules\call_queue.py", line 14, in f
    res = func(*args, **kwargs)
  File "E:\A111\stable-diffusion-webui-amdgpu\modules\initialize_util.py", line 181, in <lambda>
    shared.opts.onchange("sd_model_checkpoint", wrap_queued_call(lambda: sd_models.reload_model_weights()), call=False)
  File "E:\A111\stable-diffusion-webui-amdgpu\modules\sd_models.py", line 992, in reload_model_weights
    load_model(checkpoint_info, already_loaded_state_dict=state_dict)
  File "E:\A111\stable-diffusion-webui-amdgpu\modules\sd_models.py", line 831, in load_model
    sd_model = instantiate_from_config(sd_config.model, state_dict)
  File "E:\A111\stable-diffusion-webui-amdgpu\modules\sd_models.py", line 775, in instantiate_from_config
    return constructor(**params)
  File "E:\A111\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\models\diffusion.py", line 61, in __init__
    self.conditioner = instantiate_from_config(
  File "E:\A111\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\util.py", line 175, in instantiate_from_config
    return get_obj_from_str(config["target"])(**config.get("params", dict()))
  File "E:\A111\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\modules\encoders\modules.py", line 88, in __init__
    embedder = instantiate_from_config(embconfig)
  File "E:\A111\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\util.py", line 175, in instantiate_from_config
    return get_obj_from_str(config["target"])(**config.get("params", dict()))
  File "E:\A111\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\modules\encoders\modules.py", line 361, in __init__
    self.transformer = CLIPTextModel.from_pretrained(version)
  File "E:\A111\stable-diffusion-webui-amdgpu\modules\sd_disable_initialization.py", line 68, in CLIPTextModel_from_pretrained
    res = self.CLIPTextModel_from_pretrained(None, *model_args, config=pretrained_model_name_or_path, state_dict={}, **kwargs)
  File "E:\A111\stable-diffusion-webui-amdgpu\venv\lib\site-packages\transformers\modeling_utils.py", line 3506, in from_pretrained
    resolved_config_file = cached_file(
  File "E:\A111\stable-diffusion-webui-amdgpu\venv\lib\site-packages\transformers\utils\hub.py", line 426, in cached_file
    raise EnvironmentError(
OSError: None is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models'
If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=<your_token>`

Failed to create model quickly; will retry using slow method.

Additional information

No response

[CS1o]

Hey, whats your GPU?
SDXL and Pony models require a lot of RAM to load.
Make sure the webui is located on an SSD, the model dont need to.
As you only have 16gb of RAM you have to increase the Windows Pagefile.
Instructions here: https://www.tomshardware.com/news/how-to-manage-virtual-memory-pagefile-windows-10,36929.html
Enable it only for the C drive and disable it for any other drive.
Set it to customized: 16000 min and 24000max.
Then restart the PC.
IF your GPU only has 4-6gb of vram your out of luck with using SDXL/Pony models with DirectML.

[YoSoyZpock]

Same here, in my case this message appear with 1.5 and XL models.

PC specs:

CPU: Ryzen 7 5700X
GPU: AMD RX 6700 XT
RAM: 32 GB
Using Zluda with --use-zluda

Console Log

E:\AI\stable-diffusion-webui-amdgpu\venv\lib\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)
no module 'xformers'. Processing without...
no module 'xformers'. Processing without...
No module 'xformers'. Proceeding without it.
E:\AI\stable-diffusion-webui-amdgpu\venv\lib\site-packages\pytorch_lightning\utilities\distributed.py:258: LightningDeprecationWarning: `pytorch_lightning.utilities.distributed.rank_zero_only` has been deprecated in v1.8.1 and will be removed in v2.0.0. You can import it from `pytorch_lightning.utilities` instead.
  rank_zero_deprecation(
Launching Web UI with arguments: --use-zluda
ONNX: version=1.20.1 provider=CPUExecutionProvider, available=['TensorrtExecutionProvider', 'CUDAExecutionProvider', 'CPUExecutionProvider']
Loading weights [33e58e8668] from E:\AI\stable-diffusion-webui-amdgpu\models\Stable-diffusion\juggernautXL_juggXIByRundiffusion.safetensors
Creating model from config: E:\AI\stable-diffusion-webui-amdgpu\repositories\generative-models\configs\inference\sd_xl_base.yaml
Running on local URL:  http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.
Startup time: 13.0s (prepare environment: 18.5s, initialize shared: 1.7s, load scripts: 0.6s, create ui: 0.4s, gradio launch: 0.5s).
creating model quickly: OSError
Traceback (most recent call last):
  File "E:\AI\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\utils\_http.py", line 406, in hf_raise_for_status
    response.raise_for_status()
  File "E:\AI\stable-diffusion-webui-amdgpu\venv\lib\site-packages\requests\models.py", line 1024, in raise_for_status
    raise HTTPError(http_error_msg, response=self)
requests.exceptions.HTTPError: 401 Client Error: Unauthorized for url: https://huggingface.co/None/resolve/main/config.json

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

Traceback (most recent call last):
  File "E:\AI\stable-diffusion-webui-amdgpu\venv\lib\site-packages\transformers\utils\hub.py", line 403, in cached_file
    resolved_file = hf_hub_download(
  File "E:\AI\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\utils\_validators.py", line 114, in _inner_fn
    return fn(*args, **kwargs)
  File "E:\AI\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\file_download.py", line 862, in hf_hub_download
    return _hf_hub_download_to_cache_dir(
  File "E:\AI\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\file_download.py", line 969, in _hf_hub_download_to_cache_dir
    _raise_on_head_call_error(head_call_error, force_download, local_files_only)
  File "E:\AI\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\file_download.py", line 1484, in _raise_on_head_call_error
    raise head_call_error
  File "E:\AI\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\file_download.py", line 1376, in _get_metadata_or_catch_error
    metadata = get_hf_file_metadata(
  File "E:\AI\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\utils\_validators.py", line 114, in _inner_fn
    return fn(*args, **kwargs)
  File "E:\AI\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\file_download.py", line 1296, in get_hf_file_metadata
    r = _request_wrapper(
  File "E:\AI\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\file_download.py", line 277, in _request_wrapper
    response = _request_wrapper(
  File "E:\AI\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\file_download.py", line 301, in _request_wrapper
    hf_raise_for_status(response)
  File "E:\AI\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\utils\_http.py", line 454, in hf_raise_for_status
    raise _format(RepositoryNotFoundError, message, response) from e
huggingface_hub.errors.RepositoryNotFoundError: 401 Client Error. (Request ID: Root=1-675a0f2b-320801666c3174ae2b5dec87;4f438b62-cc4a-45d6-9bb4-8f02bfb7673f)

Repository Not Found for url: https://huggingface.co/None/resolve/main/config.json.
Please make sure you specified the correct `repo_id` and `repo_type`.
If you are trying to access a private or gated repo, make sure you are authenticated.
Invalid username or password.

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

Traceback (most recent call last):
  File "C:\Program Files\Python310\lib\threading.py", line 973, in _bootstrap
    self._bootstrap_inner()
  File "C:\Program Files\Python310\lib\threading.py", line 1016, in _bootstrap_inner
    self.run()
  File "C:\Program Files\Python310\lib\threading.py", line 953, in run
    self._target(*self._args, **self._kwargs)
  File "E:\AI\stable-diffusion-webui-amdgpu\modules\initialize.py", line 149, in load_model
    shared.sd_model  # noqa: B018
  File "E:\AI\stable-diffusion-webui-amdgpu\modules\shared_items.py", line 190, in sd_model
    return modules.sd_models.model_data.get_sd_model()
  File "E:\AI\stable-diffusion-webui-amdgpu\modules\sd_models.py", line 693, in get_sd_model
    load_model()
  File "E:\AI\stable-diffusion-webui-amdgpu\modules\sd_models.py", line 831, in load_model
    sd_model = instantiate_from_config(sd_config.model, state_dict)
  File "E:\AI\stable-diffusion-webui-amdgpu\modules\sd_models.py", line 775, in instantiate_from_config
    return constructor(**params)
  File "E:\AI\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\models\diffusion.py", line 61, in __init__
    self.conditioner = instantiate_from_config(
  File "E:\AI\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\util.py", line 175, in instantiate_from_config
    return get_obj_from_str(config["target"])(**config.get("params", dict()))
  File "E:\AI\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\modules\encoders\modules.py", line 88, in __init__
    embedder = instantiate_from_config(embconfig)
  File "E:\AI\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\util.py", line 175, in instantiate_from_config
    return get_obj_from_str(config["target"])(**config.get("params", dict()))
  File "E:\AI\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\modules\encoders\modules.py", line 361, in __init__
    self.transformer = CLIPTextModel.from_pretrained(version)
  File "E:\AI\stable-diffusion-webui-amdgpu\modules\sd_disable_initialization.py", line 68, in CLIPTextModel_from_pretrained
    res = self.CLIPTextModel_from_pretrained(None, *model_args, config=pretrained_model_name_or_path, state_dict={}, **kwargs)
  File "E:\AI\stable-diffusion-webui-amdgpu\venv\lib\site-packages\transformers\modeling_utils.py", line 3518, in from_pretrained
    resolved_config_file = cached_file(
  File "E:\AI\stable-diffusion-webui-amdgpu\venv\lib\site-packages\transformers\utils\hub.py", line 426, in cached_file
    raise EnvironmentError(
OSError: None is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models'
If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=<your_token>`

Failed to create model quickly; will retry using slow method.

[CS1o]

Hey, this message is normal and will get fixed with the next Auto1111 update.
But it seems that you didn't installed HIP SDK 6.1 + the correct library files, both needed to get zluda to work.

Checkout my ZLUDA install guides:
https://github.com/CS1o/Stable-Diffusion-Info/wiki/Webui-Installation-Guides