[Bug]: RuntimeError: mixed dtype (CPU): expect parameter to have scalar type of Float

### Checklist

- [x] The issue exists after disabling all extensions
- [x] 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
- [x] 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 tried to generate an image the "RuntimeError: mixed dtype (CPU): expect parameter to have scalar type of Float" error appears in the console and dosen't generate the image. This issue started with the 25.5.1 driver version.
I've tried with a clean install and the same happens.
It seems its the same error as in #604 .

### Steps to reproduce the problem

1.Press "Generate"
2.The console throws the error and dosen't generate an image

### What should have happened?

Image should get generated successfully.

### What browsers do you use to access the UI ?

Mozilla Firefox

### Sysinfo

[sysinfo-2025-05-10-16-46.json](https://github.com/user-attachments/files/20140585/sysinfo-2025-05-10-16-46.json)

### Console logs

```Shell
From https://github.com/lshqqytiger/stable-diffusion-webui-directml
 * branch              HEAD       -> FETCH_HEAD
Already up to date.
venv "E:\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', 'gfx1036']
ROCm: version=6.2, using agent gfx1100
ZLUDA support: experimental
ZLUDA load: path='E:\stable-diffusion-webui-amdgpu\.zluda' nightly=False
E:\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
E:\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:\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 --upcast-sampling
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=1.21.0 provider=CPUExecutionProvider, available=['AzureExecutionProvider', 'CPUExecutionProvider']
[-] ADetailer initialized. version: 25.3.0, num models: 17
Forge: False, reForge: False
Loading weights [7c97ecf786] from E:\stable-diffusion-webui-amdgpu\models\Stable-diffusion\ponyRealism_v22MainVAE.safetensors
Creating model from config: E:\stable-diffusion-webui-amdgpu\repositories\generative-models\configs\inference\sd_xl_base.yaml
creating model quickly: OSError
Traceback (most recent call last):
  File "E:\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 "E:\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:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\transformers\utils\hub.py", line 342, in cached_file
    resolved_file = hf_hub_download(
  File "E:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\utils\_validators.py", line 114, in _inner_fn
    return fn(*args, **kwargs)
  File "E:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\file_download.py", line 961, in hf_hub_download
    return _hf_hub_download_to_cache_dir(
  File "E:\stable-diffusion-webui-amdgpu\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 "E:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\file_download.py", line 1596, in _raise_on_head_call_error
    raise head_call_error
  File "E:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\file_download.py", line 1484, in _get_metadata_or_catch_error
    metadata = get_hf_file_metadata(
  File "E:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\utils\_validators.py", line 114, in _inner_fn
    return fn(*args, **kwargs)
  File "E:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\file_download.py", line 1401, in get_hf_file_metadata
    r = _request_wrapper(
  File "E:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\file_download.py", line 285, in _request_wrapper
    response = _request_wrapper(
  File "E:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\huggingface_hub\file_download.py", line 309, in _request_wrapper
    hf_raise_for_status(response)
  File "E:\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=1-681f8198-5c2859f866d902e2118eecfe;8d13fdb1-20b2-4375-b626-322de8522b2a)

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\vsnch\AppData\Local\Programs\Python\Python310\lib\threading.py", line 973, in _bootstrap
    self._bootstrap_inner()
  File "C:\Users\vsnch\AppData\Local\Programs\Python\Python310\lib\threading.py", line 1016, in _bootstrap_inner
    self.run()
  File "C:\Users\vsnch\AppData\Local\Programs\Python\Python310\lib\threading.py", line 953, in run
    self._target(*self._args, **self._kwargs)
  File "E:\stable-diffusion-webui-amdgpu\modules\initialize.py", line 149, in load_model
    shared.sd_model  # noqa: B018
  File "E:\stable-diffusion-webui-amdgpu\modules\shared_items.py", line 190, in sd_model
    return modules.sd_models.model_data.get_sd_model()
  File "E:\stable-diffusion-webui-amdgpu\modules\sd_models.py", line 693, in get_sd_model
    load_model()
  File "E:\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:\stable-diffusion-webui-amdgpu\modules\sd_models.py", line 775, in instantiate_from_config
    return constructor(**params)
  File "E:\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\models\diffusion.py", line 61, in __init__
    self.conditioner = instantiate_from_config(
  File "E:\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:\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\modules\encoders\modules.py", line 88, in __init__
    embedder = instantiate_from_config(embconfig)
  File "E:\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:\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\modules\encoders\modules.py", line 361, in __init__
    self.transformer = CLIPTextModel.from_pretrained(version)
  File "E:\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:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\transformers\modeling_utils.py", line 262, in _wrapper
    return func(*args, **kwargs)
  File "E:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\transformers\modeling_utils.py", line 3540, in from_pretrained
    resolved_config_file = cached_file(
  File "E:\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.
Loading VAE weights specified in settings: E:\stable-diffusion-webui-amdgpu\models\VAE\fixFP16ErrorsSDXLLowerMemoryUse_v10.safetensors
Applying attention optimization: InvokeAI... done.
*** Error loading embedding bad-image-v2-39000.pt
    Traceback (most recent call last):
      File "E:\stable-diffusion-webui-amdgpu\modules\textual_inversion\textual_inversion.py", line 209, in load_from_dir
        self.load_from_file(fullfn, fn)
      File "E:\stable-diffusion-webui-amdgpu\modules\textual_inversion\textual_inversion.py", line 180, in load_from_file
        data = torch.load(path, map_location="cpu")
      File "E:\stable-diffusion-webui-amdgpu\modules\safe.py", line 108, in load
        return load_with_extra(filename, *args, extra_handler=global_extra_handler, **kwargs)
      File "E:\stable-diffusion-webui-amdgpu\modules\safe.py", line 156, in load_with_extra
        return unsafe_torch_load(filename, *args, **kwargs)
      File "E:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\serialization.py", line 1470, in load
        raise pickle.UnpicklingError(_get_wo_message(str(e))) from None
    _pickle.UnpicklingError: Weights only load failed. This file can still be loaded, to do so you have two options, do those steps only if you trust the source of the checkpoint.
        (1) In PyTorch 2.6, we changed the default value of the `weights_only` argument in `torch.load` from `False` to `True`. Re-running `torch.load` with `weights_only` set to `False` will likely succeed, but it can result in arbitrary code execution. Do it only if you got the file from a trusted source.
        (2) Alternatively, to load with `weights_only=True` please check the recommended steps in the following error message.
        WeightsUnpickler error: Unsupported global: GLOBAL torch.nn.modules.container.ParameterDict was not an allowed global by default. Please use `torch.serialization.add_safe_globals([ParameterDict])` or the `torch.serialization.safe_globals([ParameterDict])` context manager to allowlist this global if you trust this class/function.

    Check the documentation of torch.load to learn more about types accepted by default with weights_only https://pytorch.org/docs/stable/generated/torch.load.html.

---
Model loaded in 23.1s (load weights from disk: 0.3s, create model: 5.9s, apply weights to model: 14.6s, apply half(): 0.2s, load VAE: 0.8s, load textual inversion embeddings: 0.3s, calculate empty prompt: 0.9s).
Running on local URL:  http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.
Startup time: 99.9s (prepare environment: 90.6s, initialize shared: 1.4s, list SD models: 0.2s, load scripts: 0.9s, create ui: 23.4s, gradio launch: 0.2s).
  0%|                                                                                           | 0/20 [00:00<?, ?it/s]
*** Error completing request
*** Arguments: ('task(f5qzq1xt6qpzhw9)', <gradio.routes.Request object at 0x0000021088AC2530>, '', '', [], 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, {'ad_model': 'face_yolov8n.pt', 'ad_model_classes': '', 'ad_tab_enable': True, 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_filter_method': 'Area', 'ad_mask_k': 0, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio': 1, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4, 'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DPM++ 2M', 'ad_scheduler': 'Use same scheduler', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, {'ad_model': 'None', 'ad_model_classes': '', 'ad_tab_enable': True, 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_filter_method': 'Area', 'ad_mask_k': 0, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio': 1, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4, 'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DPM++ 2M', 'ad_scheduler': 'Use same scheduler', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, {'ad_model': 'None', 'ad_model_classes': '', 'ad_tab_enable': True, 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_filter_method': 'Area', 'ad_mask_k': 0, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio': 1, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4, 'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DPM++ 2M', 'ad_scheduler': 'Use same scheduler', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, {'ad_model': 'None', 'ad_model_classes': '', 'ad_tab_enable': True, 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_filter_method': 'Area', 'ad_mask_k': 0, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio': 1, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4, 'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DPM++ 2M', 'ad_scheduler': 'Use same scheduler', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, False, False, 'Matrix', 'Columns', 'Mask', 'Prompt', '1,1', '0.2', False, False, False, 'Attention', [False], '0', '0', '0.4', None, '0', '0', False, False, False, 'positive', 'comma', 0, False, False, 'start', '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, False, False, False, 0, False, [], 30, '', 4, [], 1, '', '', '', '', '') {}
    Traceback (most recent call last):
      File "E:\stable-diffusion-webui-amdgpu\modules\call_queue.py", line 74, in f
        res = list(func(*args, **kwargs))
      File "E:\stable-diffusion-webui-amdgpu\modules\call_queue.py", line 53, in f
        res = func(*args, **kwargs)
      File "E:\stable-diffusion-webui-amdgpu\modules\call_queue.py", line 37, in f
        res = func(*args, **kwargs)
      File "E:\stable-diffusion-webui-amdgpu\modules\txt2img.py", line 109, in txt2img
        processed = processing.process_images(p)
      File "E:\stable-diffusion-webui-amdgpu\modules\processing.py", line 849, in process_images
        res = process_images_inner(p)
      File "E:\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 "E:\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 "E:\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 "E:\stable-diffusion-webui-amdgpu\modules\sd_samplers_common.py", line 272, in launch_sampling
        return func()
      File "E:\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 "E:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context
        return func(*args, **kwargs)
      File "E:\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 "E:\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 "E:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1750, in _call_impl
        return forward_call(*args, **kwargs)
      File "E:\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 "E:\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 "E:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1750, in _call_impl
        return forward_call(*args, **kwargs)
      File "E:\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 "E:\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 "E:\stable-diffusion-webui-amdgpu\modules\sd_models_xl.py", line 43, in apply_model
        return self.model(x, t, cond)
      File "E:\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 "E:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1750, in _call_impl
        return forward_call(*args, **kwargs)
      File "E:\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 "E:\stable-diffusion-webui-amdgpu\modules\sd_hijack_utils.py", line 34, in __call__
        return self.__sub_func(self.__orig_func, *args, **kwargs)
      File "E:\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 "E:\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\modules\diffusionmodules\wrappers.py", line 28, in forward
        return self.diffusion_model(
      File "E:\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 "E:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1750, in _call_impl
        return forward_call(*args, **kwargs)
      File "E:\stable-diffusion-webui-amdgpu\modules\sd_unet.py", line 91, in UNetModel_forward
        return original_forward(self, x, timesteps, context, *args, **kwargs)
      File "E:\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\modules\diffusionmodules\openaimodel.py", line 993, in forward
        h = module(h, emb, context)
      File "E:\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 "E:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1750, in _call_impl
        return forward_call(*args, **kwargs)
      File "E:\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\modules\diffusionmodules\openaimodel.py", line 98, in forward
        x = layer(x, emb)
      File "E:\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 "E:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1750, in _call_impl
        return forward_call(*args, **kwargs)
      File "E:\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\modules\diffusionmodules\openaimodel.py", line 317, in forward
        return checkpoint(
      File "E:\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\modules\diffusionmodules\util.py", line 167, in checkpoint
        return func(*inputs)
      File "E:\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\modules\diffusionmodules\openaimodel.py", line 329, in _forward
        h = self.in_layers(x)
      File "E:\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 "E:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1750, in _call_impl
        return forward_call(*args, **kwargs)
      File "E:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\container.py", line 250, in forward
        input = module(input)
      File "E:\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 "E:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\module.py", line 1750, in _call_impl
        return forward_call(*args, **kwargs)
      File "E:\stable-diffusion-webui-amdgpu\repositories\generative-models\sgm\modules\diffusionmodules\util.py", line 275, in forward
        return super().forward(x.float()).type(x.dtype)
      File "E:\stable-diffusion-webui-amdgpu\extensions-builtin\Lora\networks.py", line 614, in network_GroupNorm_forward
        return originals.GroupNorm_forward(self, input)
      File "E:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\modules\normalization.py", line 313, in forward
        return F.group_norm(input, self.num_groups, self.weight, self.bias, self.eps)
      File "E:\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\nn\functional.py", line 2965, in group_norm
        return torch.group_norm(
    RuntimeError: mixed dtype (CPU): expect parameter to have scalar type of Float

---
```

### Additional information

This error started happening when i updated to the driver version 25.5.1

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[Bug]: RuntimeError: mixed dtype (CPU): expect parameter to have scalar type of Float #605

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[Bug]: RuntimeError: mixed dtype (CPU): expect parameter to have scalar type of Float #605

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