Open
Description
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?
Stopped working a few days ago after updating amd drivers even after downgrading to previous version of the drivers, a fresh install of SD and restating my pc it still stays, I found a few people online with similar problems but at last trying trying a few had no result.
Steps to reproduce the problem
Try to generate any image any size.
What should have happened?
Noting just a timeout at 0.4 seconds with the error
RuntimeError: Input type (float) and bias type (struct c10::Half) should be the same.
What browsers do you use to access the UI ?
Other
Sysinfo
Console logs
venv "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\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-36-g679c645e
Commit hash: 679c645ec84e40dd14d527dbeb03fab259087187
ROCm: agents=['gfx1100']
ROCm: version=6.2, using agent gfx1100
ZLUDA support: experimental
ZLUDA load: path='X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\.zluda' nightly=False
X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\cuda\__init__.py:936: UserWarning: CUDA initialization: CUDA unknown error - this may be due to an incorrectly set up environment, e.g. changing env variable CUDA_VISIBLE_DEVICES after program start. Setting the available devices to be zero. (Triggered internally at C:\actions-runner\_work\pytorch\pytorch\pytorch\c10\cuda\CUDAFunctions.cpp:109.)
r = torch._C._cuda_getDeviceCount() if nvml_count < 0 else nvml_count
X:\stable-diffusion-webui-amdgpu-master\sd zlude\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.
X:\stable-diffusion-webui-amdgpu-master\sd zlude\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
Warning: caught exception 'CUDA unknown error - this may be due to an incorrectly set up environment, e.g. changing env variable CUDA_VISIBLE_DEVICES after program start. Setting the available devices to be zero.', memory monitor disabled
ONNX: version=1.22.0 provider=CPUExecutionProvider, available=['AzureExecutionProvider', 'CPUExecutionProvider']
Tag Autocomplete: Could not locate model-keyword extension, Lora trigger word completion will be limited to those added through the extra networks menu.
Loading weights [8463ca6405] from X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\models\Stable-diffusion\revAnimated_v2Rebirth.safetensors
Creating model from config: X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\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: 9.4s (prepare environment: 11.3s, initialize shared: 0.7s, load scripts: 0.8s, create ui: 0.4s, gradio launch: 0.5s).
creating model quickly: OSError
Traceback (most recent call last):
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\utils\_http.py", line 409, in hf_raise_for_status
response.raise_for_status()
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\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 "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\venv\lib\site-packages\transformers\utils\hub.py", line 342, in cached_file
resolved_file = hf_hub_download(
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\utils\_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\file_download.py", line 1008, in hf_hub_download
return _hf_hub_download_to_cache_dir(
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\file_download.py", line 1115, in _hf_hub_download_to_cache_dir
_raise_on_head_call_error(head_call_error, force_download, local_files_only)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\file_download.py", line 1645, in _raise_on_head_call_error
raise head_call_error
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\file_download.py", line 1533, in _get_metadata_or_catch_error
metadata = get_hf_file_metadata(
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\utils\_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\file_download.py", line 1450, in get_hf_file_metadata
r = _request_wrapper(
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\file_download.py", line 286, in _request_wrapper
response = _request_wrapper(
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\file_download.py", line 310, in _request_wrapper
hf_raise_for_status(response)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\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=1-6834e7ae-073ada236345ad1d250c02f0;5edc06ea-ddb4-4ced-82a4-a4cca66f18d4)
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\Administrator\AppData\Local\Programs\Python\Python310\lib\threading.py", line 973, in _bootstrap
self._bootstrap_inner()
File "C:\Users\Administrator\AppData\Local\Programs\Python\Python310\lib\threading.py", line 1016, in _bootstrap_inner
self.run()
File "C:\Users\Administrator\AppData\Local\Programs\Python\Python310\lib\threading.py", line 953, in run
self._target(*self._args, **self._kwargs)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\modules\initialize.py", line 149, in load_model
shared.sd_model # noqa: B018
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\modules\shared_items.py", line 190, in sd_model
return modules.sd_models.model_data.get_sd_model()
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\modules\sd_models.py", line 693, in get_sd_model
load_model()
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\modules\sd_models.py", line 831, in load_model
sd_model = instantiate_from_config(sd_config.model, state_dict)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\modules\sd_models.py", line 775, in instantiate_from_config
return constructor(**params)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 563, in __init__
self.instantiate_cond_stage(cond_stage_config)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 630, in instantiate_cond_stage
model = instantiate_from_config(config)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\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 "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\repositories\stable-diffusion-stability-ai\ldm\modules\encoders\modules.py", line 104, in __init__
self.transformer = CLIPTextModel.from_pretrained(version)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\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 "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\venv\lib\site-packages\transformers\modeling_utils.py", line 262, in _wrapper
return func(*args, **kwargs)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\venv\lib\site-packages\transformers\modeling_utils.py", line 3540, in from_pretrained
resolved_config_file = cached_file(
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\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.
Model loaded in 3.2s (load weights from disk: 0.4s, create model: 1.2s, apply weights to model: 1.2s, apply half(): 0.2s, calculate empty prompt: 0.2s).
0%| | 0/20 [00:00<?, ?it/s]
*** Error completing request
*** Arguments: ('task(l4q3693o74ofdba)', <gradio.routes.Request object at 0x000001F0444DE9B0>, 'A dancing, dog, ', '', [], 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, 'MultiDiffusion', False, True, 1024, 1024, 96, 96, 48, 4, 'None', 2, False, 10, 1, 1, 64, False, False, False, False, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 0.4, 0.4, 0.2, 0.2, '', '', 'Background', 0.2, -1.0, False, 'DemoFusion', False, 128, 64, 4, 2, False, 10, 1, 1, 64, False, True, 3, 1, 1, True, 0.85, 0.6, 4, False, False, 512, 64, True, True, True, False, 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 "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\modules\call_queue.py", line 74, in f
res = list(func(*args, **kwargs))
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\modules\call_queue.py", line 53, in f
res = func(*args, **kwargs)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\modules\call_queue.py", line 37, in f
res = func(*args, **kwargs)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\modules\txt2img.py", line 109, in txt2img
processed = processing.process_images(p)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\modules\processing.py", line 849, in process_images
res = process_images_inner(p)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\modules\processing.py", line 1083, in process_images_inner
samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\modules\processing.py", line 1441, in sample
samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\modules\sd_samplers_kdiffusion.py", line 233, in sample
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\modules\sd_samplers_common.py", line 272, in launch_sampling
return func()
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\modules\sd_samplers_kdiffusion.py", line 233, in <lambda>
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\repositories\k-diffusion\k_diffusion\sampling.py", line 594, in sample_dpmpp_2m
denoised = model(x, sigmas[i] * s_in, **extra_args)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1739, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1750, in _call_impl
return forward_call(*args, **kwargs)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\modules\sd_samplers_cfg_denoiser.py", line 249, in forward
x_out = self.inner_model(x_in, sigma_in, cond=make_condition_dict(cond_in, image_cond_in))
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1739, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1750, in _call_impl
return forward_call(*args, **kwargs)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\repositories\k-diffusion\k_diffusion\external.py", line 112, in forward
eps = self.get_eps(input * c_in, self.sigma_to_t(sigma), **kwargs)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\repositories\k-diffusion\k_diffusion\external.py", line 138, in get_eps
return self.inner_model.apply_model(*args, **kwargs)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\modules\sd_hijack_utils.py", line 22, in <lambda>
setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs))
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\modules\sd_hijack_utils.py", line 34, in __call__
return self.__sub_func(self.__orig_func, *args, **kwargs)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\modules\sd_hijack_unet.py", line 50, in apply_model
result = orig_func(self, x_noisy.to(devices.dtype_unet), t.to(devices.dtype_unet), cond, **kwargs)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\modules\sd_hijack_utils.py", line 22, in <lambda>
setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs))
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\modules\sd_hijack_utils.py", line 36, in __call__
return self.__orig_func(*args, **kwargs)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 858, in apply_model
x_recon = self.model(x_noisy, t, **cond)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1739, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1750, in _call_impl
return forward_call(*args, **kwargs)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 1335, in forward
out = self.diffusion_model(x, t, context=cc)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1739, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1750, in _call_impl
return forward_call(*args, **kwargs)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\modules\sd_unet.py", line 91, in UNetModel_forward
return original_forward(self, x, timesteps, context, *args, **kwargs)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\openaimodel.py", line 797, in forward
h = module(h, emb, context)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1739, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1750, in _call_impl
return forward_call(*args, **kwargs)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\openaimodel.py", line 86, in forward
x = layer(x)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1739, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1750, in _call_impl
return forward_call(*args, **kwargs)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\extensions-builtin\Lora\networks.py", line 599, in network_Conv2d_forward
return originals.Conv2d_forward(self, input)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\conv.py", line 554, in forward
return self._conv_forward(input, self.weight, self.bias)
File "X:\stable-diffusion-webui-amdgpu-master\sd zlude\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\conv.py", line 549, in _conv_forward
return F.conv2d(
RuntimeError: Input type (float) and bias type (struct c10::Half) should be the sameAdditional information
Any advice/help would be appreciated, I'm not to good with computer's so please be patient.
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