[Bug]: Black screen when finishing generation

### 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
- [x] The issue has not been reported before recently
- [x] The issue has been reported before but has not been fixed yet

### What happened?

RX 560. When AI finishes generating an image (progress goes 100%), my screen turns black, coolers on the GPU start spinning at 100% speed, and i need to reboot my pc.

### Steps to reproduce the problem

1. Start generation 
2. Wait for it to end
3. Screen goes black, coolers go whoooooooo

### What should have happened?

Everything should go normally. The image must appear. No GPU errors.

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

Microsoft Edge

### Sysinfo

[sysinfo-2025-07-27-19-37.json](https://github.com/user-attachments/files/21455882/sysinfo-2025-07-27-19-37.json)

### Console logs

```Shell
venv "C:\sheesh\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-24-g63895a83
Commit hash: 63895a83f70651865cc9653583c69765009489f3
C:\sheesh\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:\sheesh\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 --lowvram --opt-split-attention --opt-sub-quad-attention --disable-nan-check --no-half
ONNX failed to initialize: module 'optimum.onnxruntime.modeling_diffusion' has no attribute 'ORTPipelinePart'
Loading weights [e44c7b30c6] from C:\sheesh\models\Stable-diffusion\epicphotogasm_ultimateFidelity.safetensors
Creating model from config: C:\sheesh\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: 13.5s (prepare environment: 17.8s, initialize shared: 2.1s, load scripts: 0.8s, create ui: 0.7s, gradio launch: 0.6s).
creating model quickly: OSError
Traceback (most recent call last):
  File "C:\sheesh\venv\lib\site-packages\huggingface_hub\utils\_http.py", line 409, in hf_raise_for_status
    response.raise_for_status()
  File "C:\sheesh\venv\lib\site-packages\requests\models.py", line 1026, 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:\sheesh\venv\lib\site-packages\transformers\utils\hub.py", line 342, in cached_file
    resolved_file = hf_hub_download(
  File "C:\sheesh\venv\lib\site-packages\huggingface_hub\utils\_validators.py", line 114, in _inner_fn
    return fn(*args, **kwargs)
  File "C:\sheesh\venv\lib\site-packages\huggingface_hub\file_download.py", line 1008, in hf_hub_download
    return _hf_hub_download_to_cache_dir(
  File "C:\sheesh\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 "C:\sheesh\venv\lib\site-packages\huggingface_hub\file_download.py", line 1656, in _raise_on_head_call_error
    raise head_call_error
  File "C:\sheesh\venv\lib\site-packages\huggingface_hub\file_download.py", line 1544, in _get_metadata_or_catch_error
    metadata = get_hf_file_metadata(
  File "C:\sheesh\venv\lib\site-packages\huggingface_hub\utils\_validators.py", line 114, in _inner_fn
    return fn(*args, **kwargs)
  File "C:\sheesh\venv\lib\site-packages\huggingface_hub\file_download.py", line 1461, in get_hf_file_metadata
    r = _request_wrapper(
  File "C:\sheesh\venv\lib\site-packages\huggingface_hub\file_download.py", line 286, in _request_wrapper
    response = _request_wrapper(
  File "C:\sheesh\venv\lib\site-packages\huggingface_hub\file_download.py", line 310, in _request_wrapper
    hf_raise_for_status(response)
  File "C:\sheesh\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=1-6886806c-76d7e2226384c75f6b012784;7280d3f6-bcc5-42a6-8dc1-7103177ce320)

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:\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 "C:\sheesh\modules\initialize.py", line 149, in load_model
    shared.sd_model  # noqa: B018
  File "C:\sheesh\modules\shared_items.py", line 190, in sd_model
    return modules.sd_models.model_data.get_sd_model()
  File "C:\sheesh\modules\sd_models.py", line 693, in get_sd_model
    load_model()
  File "C:\sheesh\modules\sd_models.py", line 831, in load_model
    sd_model = instantiate_from_config(sd_config.model, state_dict)
  File "C:\sheesh\modules\sd_models.py", line 775, in instantiate_from_config
    return constructor(**params)
  File "C:\sheesh\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 563, in __init__
    self.instantiate_cond_stage(cond_stage_config)
  File "C:\sheesh\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 630, in instantiate_cond_stage
    model = instantiate_from_config(config)
  File "C:\sheesh\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:\sheesh\repositories\stable-diffusion-stability-ai\ldm\modules\encoders\modules.py", line 104, in __init__
    self.transformer = CLIPTextModel.from_pretrained(version)
  File "C:\sheesh\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:\sheesh\venv\lib\site-packages\transformers\modeling_utils.py", line 262, in _wrapper
    return func(*args, **kwargs)
  File "C:\sheesh\venv\lib\site-packages\transformers\modeling_utils.py", line 3540, in from_pretrained
    resolved_config_file = cached_file(
  File "C:\sheesh\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: Doggettx... done.
Model loaded in 17.5s (load weights from disk: 0.5s, create model: 5.0s, apply weights to model: 10.0s, apply float(): 0.9s, calculate empty prompt: 1.1s).
```

### Additional information

I've been testing this issue for a while. What i got to say:

First and foremost: I've been successfully using SD 1.5 for a year now. Never got this issue. And any other issues at all.

2. In my case this is NOT a power supply issue!! No overheating too. 

3. Occurs on both driver version 25.5.1 and 24.9.1

4. Im... quite not sure about this is a VRAM issue. I monitored VRAM and it's not been overflowing at all.

5. 256x256 generates fine, even with --medvram. 512x512 causes this issue.

6. I've switched to some commits, but the issue is still there.

P.S. Obviously i cannot provide the full log :( sorry



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[Bug]: Black screen when finishing generation #622

Checklist

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Steps to reproduce the problem

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What browsers do you use to access the UI ?

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[Bug]: Black screen when finishing generation #622

Description

Checklist

What happened?

Steps to reproduce the problem

What should have happened?

What browsers do you use to access the UI ?

Sysinfo

Console logs

Additional information

Metadata

Metadata

Assignees

Labels

Projects

Milestone

Relationships

Development

Issue actions