RuntimeError: invalid argument to memory_allocated

[Abd-o0o]

venv "C:\A1111\stable-diffusion-webui-directml\venv\Scripts\Python.exe"
WARNING: ZLUDA works best with SD.Next. Please consider migrating to SD.Next.
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-31-ga31ef086
Commit hash: a31ef08
ROCm: agents=['gfx1036', 'gfx1032']
ROCm: version=6.2, using agent gfx1032
ZLUDA support: experimental
Using ZLUDA in C:\A1111\stable-diffusion-webui-directml.zluda
WARNING: you should not skip torch test unless you want CPU to work.
No ROCm runtime is found, using ROCM_HOME='C:\Program Files\AMD\ROCm\6.2'
Skipping onnxruntime installation.
You are up to date with the most recent release.
C:\A1111\stable-diffusion-webui-directml\venv\lib\site-packages\onnxscript\converter.py:823: FutureWarning: 'onnxscript.values.Op.param_schemas' is deprecated in version 0.1 and will be removed in the future. Please use '.op_signature' instead.
param_schemas = callee.param_schemas()
C:\A1111\stable-diffusion-webui-directml\venv\lib\site-packages\onnxscript\converter.py:823: FutureWarning: 'onnxscript.values.OnnxFunction.param_schemas' is deprecated in version 0.1 and will be removed in the future. Please use '.op_signature' instead.
param_schemas = callee.param_schemas()
C:\A1111\stable-diffusion-webui-directml\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.
C:\A1111\stable-diffusion-webui-directml\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 --update-check --skip-ort
ZLUDA device failed to pass basic operation test: index=None, device_name=AMD Radeon RX 6600 XT [ZLUDA]
CUDA error: operation not supported
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.

Loading weights [6ce0161689] from C:\A1111\stable-diffusion-webui-directml\models\Stable-diffusion\v1-5-pruned-emaonly.safetensors
Creating model from config: C:\A1111\stable-diffusion-webui-directml\configs\v1-inference.yaml
Running on local URL: http://127.0.0.1:7860

To create a public link, set share=True in launch().
Startup time: 10.8s (prepare environment: 13.8s, initialize shared: 0.6s, other imports: 0.4s, load scripts: 0.4s, create ui: 0.4s, gradio launch: 0.2s).
creating model quickly: OSError
Traceback (most recent call last):
File "C:\A1111\stable-diffusion-webui-directml\venv\lib\site-packages\huggingface_hub\utils_http.py", line 409, in hf_raise_for_status
response.raise_for_status()
File "C:\A1111\stable-diffusion-webui-directml\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 "C:\A1111\stable-diffusion-webui-directml\venv\lib\site-packages\transformers\utils\hub.py", line 342, in cached_file
resolved_file = hf_hub_download(
File "C:\A1111\stable-diffusion-webui-directml\venv\lib\site-packages\huggingface_hub\utils_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
File "C:\A1111\stable-diffusion-webui-directml\venv\lib\site-packages\huggingface_hub\file_download.py", line 961, in hf_hub_download
return _hf_hub_download_to_cache_dir(
File "C:\A1111\stable-diffusion-webui-directml\venv\lib\site-packages\huggingface_hub\file_download.py", line 1068, in _hf_hub_download_to_cache_dir
_raise_on_head_call_error(head_call_error, force_download, local_files_only)
File "C:\A1111\stable-diffusion-webui-directml\venv\lib\site-packages\huggingface_hub\file_download.py", line 1596, in _raise_on_head_call_error
raise head_call_error
File "C:\A1111\stable-diffusion-webui-directml\venv\lib\site-packages\huggingface_hub\file_download.py", line 1484, in _get_metadata_or_catch_error
metadata = get_hf_file_metadata(
File "C:\A1111\stable-diffusion-webui-directml\venv\lib\site-packages\huggingface_hub\utils_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
File "C:\A1111\stable-diffusion-webui-directml\venv\lib\site-packages\huggingface_hub\file_download.py", line 1401, in get_hf_file_metadata
r = _request_wrapper(
File "C:\A1111\stable-diffusion-webui-directml\venv\lib\site-packages\huggingface_hub\file_download.py", line 285, in _request_wrapper
response = _request_wrapper(
File "C:\A1111\stable-diffusion-webui-directml\venv\lib\site-packages\huggingface_hub\file_download.py", line 309, in _request_wrapper
hf_raise_for_status(response)
File "C:\A1111\stable-diffusion-webui-directml\venv\lib\site-packages\huggingface_hub\utils_http.py", line 459, in hf_raise_for_status
raise _format(RepositoryNotFoundError, message, response) from e
huggingface_hub.errors.RepositoryNotFoundError: 401 Client Error. (Request ID: Root=1-67f3a7fe-338a59d16dbd9e3a6cc1ca90;c0f7be6a-e7b1-437f-b963-e71ce76ad5aa)

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. For more details, see https://huggingface.co/docs/huggingface_hub/authentication
Invalid username or password.

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

Traceback (most recent call last):
File "C:\Users\Bo_Boo\AppData\Local\Programs\Python\Python310\lib\threading.py", line 973, in _bootstrap
self._bootstrap_inner()
File "C:\Users\Bo_Boo\AppData\Local\Programs\Python\Python310\lib\threading.py", line 1016, in _bootstrap_inner
self.run()
File "C:\Users\Bo_Boo\AppData\Local\Programs\Python\Python310\lib\threading.py", line 953, in run
self._target(*self._args, **self._kwargs)
File "C:\A1111\stable-diffusion-webui-directml\modules\initialize.py", line 149, in load_model
shared.sd_model # noqa: B018
File "C:\A1111\stable-diffusion-webui-directml\modules\shared_items.py", line 190, in sd_model
return modules.sd_models.model_data.get_sd_model()
File "C:\A1111\stable-diffusion-webui-directml\modules\sd_models.py", line 693, in get_sd_model
load_model()
File "C:\A1111\stable-diffusion-webui-directml\modules\sd_models.py", line 831, in load_model
sd_model = instantiate_from_config(sd_config.model, state_dict)
File "C:\A1111\stable-diffusion-webui-directml\modules\sd_models.py", line 775, in instantiate_from_config
return constructor(**params)
File "C:\A1111\stable-diffusion-webui-directml\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 563, in init
self.instantiate_cond_stage(cond_stage_config)
File "C:\A1111\stable-diffusion-webui-directml\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 630, in instantiate_cond_stage
model = instantiate_from_config(config)
File "C:\A1111\stable-diffusion-webui-directml\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 "C:\A1111\stable-diffusion-webui-directml\repositories\stable-diffusion-stability-ai\ldm\modules\encoders\modules.py", line 104, in init
self.transformer = CLIPTextModel.from_pretrained(version)
File "C:\A1111\stable-diffusion-webui-directml\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 "C:\A1111\stable-diffusion-webui-directml\venv\lib\site-packages\transformers\modeling_utils.py", line 262, in _wrapper
return func(*args, **kwargs)
File "C:\A1111\stable-diffusion-webui-directml\venv\lib\site-packages\transformers\modeling_utils.py", line 3540, in from_pretrained
resolved_config_file = cached_file(
File "C:\A1111\stable-diffusion-webui-directml\venv\lib\site-packages\transformers\utils\hub.py", line 365, 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.
Applying attention optimization: InvokeAI... done.
loading stable diffusion model: RuntimeError
Traceback (most recent call last):
File "C:\Users\Bo_Boo\AppData\Local\Programs\Python\Python310\lib\threading.py", line 973, in _bootstrap
self._bootstrap_inner()
File "C:\Users\Bo_Boo\AppData\Local\Programs\Python\Python310\lib\threading.py", line 1016, in _bootstrap_inner
self.run()
File "C:\Users\Bo_Boo\AppData\Local\Programs\Python\Python310\lib\threading.py", line 953, in run
self._target(*self._args, **self._kwargs)
File "C:\A1111\stable-diffusion-webui-directml\modules\initialize.py", line 149, in load_model
shared.sd_model # noqa: B018
File "C:\A1111\stable-diffusion-webui-directml\modules\shared_items.py", line 190, in sd_model
return modules.sd_models.model_data.get_sd_model()
File "C:\A1111\stable-diffusion-webui-directml\modules\sd_models.py", line 693, in get_sd_model
load_model()
File "C:\A1111\stable-diffusion-webui-directml\modules\sd_models.py", line 871, in load_model
sd_hijack.model_hijack.embedding_db.load_textual_inversion_embeddings(force_reload=True) # Reload embeddings after model load as they may or may not fit the model
File "C:\A1111\stable-diffusion-webui-directml\modules\textual_inversion\textual_inversion.py", line 228, in load_textual_inversion_embeddings
self.expected_shape = self.get_expected_shape()
File "C:\A1111\stable-diffusion-webui-directml\modules\textual_inversion\textual_inversion.py", line 156, in get_expected_shape
vec = shared.sd_model.cond_stage_model.encode_embedding_init_text(",", 1)
File "C:\A1111\stable-diffusion-webui-directml\modules\sd_hijack_clip.py", line 365, in encode_embedding_init_text
embedded = embedding_layer.token_embedding.wrapped(ids.to(embedding_layer.token_embedding.wrapped.weight.device)).squeeze(0)
File "C:\A1111\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\A1111\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "C:\A1111\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\sparse.py", line 163, in forward
return F.embedding(
File "C:\A1111\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\functional.py", line 2264, in embedding return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)
RuntimeError: CUDA error: operation not supported
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.

Stable diffusion model failed to load
Exception in thread MemMon:
Traceback (most recent call last):
File "C:\Users\Bo_Boo\AppData\Local\Programs\Python\Python310\lib\threading.py", line 1016, in _bootstrap_inner
self.run()
File "C:\A1111\stable-diffusion-webui-directml\modules\memmon.py", line 43, in run
torch.cuda.reset_peak_memory_stats()
File "C:\A1111\stable-diffusion-webui-directml\venv\lib\site-packages\torch\cuda\memory.py", line 309, in reset_peak_memory_stats
return torch._C._cuda_resetPeakMemoryStats(device)
RuntimeError: invalid argument to reset_peak_memory_stats
Using already loaded model v1-5-pruned-emaonly.safetensors [6ce0161689]: done in 0.0s
*** Error completing request
*** Arguments: ('task(09paqnhumqgc5qw)', <gradio.routes.Request object at 0x00000225259D54B0>, 'CAT', '', [], 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 "C:\A1111\stable-diffusion-webui-directml\modules\call_queue.py", line 74, in f
res = list(func(*args, **kwargs))
File "C:\A1111\stable-diffusion-webui-directml\modules\call_queue.py", line 53, in f
res = func(*args, **kwargs)
File "C:\A1111\stable-diffusion-webui-directml\modules\call_queue.py", line 37, in f
res = func(*args, **kwargs)
File "C:\A1111\stable-diffusion-webui-directml\modules\txt2img.py", line 109, in txt2img
processed = processing.process_images(p)
File "C:\A1111\stable-diffusion-webui-directml\modules\processing.py", line 849, in process_images
res = process_images_inner(p)
File "C:\A1111\stable-diffusion-webui-directml\modules\processing.py", line 1007, in process_images_inner
model_hijack.embedding_db.load_textual_inversion_embeddings()
File "C:\A1111\stable-diffusion-webui-directml\modules\textual_inversion\textual_inversion.py", line 228, in load_textual_inversion_embeddings
self.expected_shape = self.get_expected_shape()
File "C:\A1111\stable-diffusion-webui-directml\modules\textual_inversion\textual_inversion.py", line 156, in get_expected_shape
vec = shared.sd_model.cond_stage_model.encode_embedding_init_text(",", 1)
File "C:\A1111\stable-diffusion-webui-directml\modules\sd_hijack_clip.py", line 365, in encode_embedding_init_text embedded = embedding_layer.token_embedding.wrapped(ids.to(embedding_layer.token_embedding.wrapped.weight.device)).squeeze(0)
File "C:\A1111\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\A1111\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "C:\A1111\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\sparse.py", line 163, in forward
return F.embedding(
File "C:\A1111\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\functional.py", line 2264, in embedding
return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)
RuntimeError: CUDA error: invalid argument
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.

---

Traceback (most recent call last):
File "C:\A1111\stable-diffusion-webui-directml\venv\lib\site-packages\gradio\routes.py", line 488, in run_predict
output = await app.get_blocks().process_api(
File "C:\A1111\stable-diffusion-webui-directml\venv\lib\site-packages\gradio\blocks.py", line 1431, in process_api
result = await self.call_function(
File "C:\A1111\stable-diffusion-webui-directml\venv\lib\site-packages\gradio\blocks.py", line 1103, in call_function
prediction = await anyio.to_thread.run_sync(
File "C:\A1111\stable-diffusion-webui-directml\venv\lib\site-packages\anyio\to_thread.py", line 33, in run_sync
return await get_asynclib().run_sync_in_worker_thread(
File "C:\A1111\stable-diffusion-webui-directml\venv\lib\site-packages\anyio_backends_asyncio.py", line 877, in run_sync_in_worker_thread
return await future
File "C:\A1111\stable-diffusion-webui-directml\venv\lib\site-packages\anyio_backends_asyncio.py", line 807, in run
result = context.run(func, *args)
File "C:\A1111\stable-diffusion-webui-directml\venv\lib\site-packages\gradio\utils.py", line 707, in wrapper
response = f(args, **kwargs)
File "C:\A1111\stable-diffusion-webui-directml\modules\call_queue.py", line 104, in f
mem_stats = {k: -(v//-(10241024)) for k, v in shared.mem_mon.stop().items()}
File "C:\A1111\stable-diffusion-webui-directml\modules\memmon.py", line 99, in stop
return self.read()
File "C:\A1111\stable-diffusion-webui-directml\modules\memmon.py", line 81, in read
torch_stats = torch.cuda.memory_stats(self.device)
File "C:\A1111\stable-diffusion-webui-directml\venv\lib\site-packages\torch\cuda\memory.py", line 258, in memory_stats stats = memory_stats_as_nested_dict(device=device)
File "C:\A1111\stable-diffusion-webui-directml\venv\lib\site-packages\torch\cuda\memory.py", line 270, in memory_stats_as_nested_dict
return torch._C._cuda_memoryStats(device)
RuntimeError: invalid argument to memory_allocated