[Bug]: - Githubissues

Is there an existing issue for this?

[X] I have searched the existing issues and checked the recent builds/commits

What happened?

Since the automatic update this morning, I am getting an error whenever I try to upscale from the Extras tab

TypeError: argument of type 'NoneType' is not iterable

Steps to reproduce the problem

Go to extras, try to upscale with any upscaler other than nearest.

What should have happened?

The image should upscale x4

Commit where the problem happens

commit: 72cd27a1 • checkpoint: 9aba26abdf

What platforms do you use to access the UI ?

Windows

What browsers do you use to access the UI ?

Google Chrome

Command Line Arguments

No

List of extensions

Console logs

Already up to date.
venv "C:\Users\gunne\stable-diffusion-webui\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)]
Commit hash: 72cd27a13587c9579942577e9e3880778be195f6
Installing requirements
Installing requirements for Batch Face Swap

Launching Web UI with arguments:
No module 'xformers'. Proceeding without it.
==============================================================================
You are running torch 1.12.1+cu113.
The program is tested to work with torch 2.0.0.
To reinstall the desired version, run with commandline flag --reinstall-torch.
Beware that this will cause a lot of large files to be downloaded, as well as
there are reports of issues with training tab on the latest version.

Use --skip-version-check commandline argument to disable this check.
==============================================================================
Loading weights [9aba26abdf] from C:\Users\gunne\stable-diffusion-webui\models\Stable-diffusion\deliberate_v2.safetensors
Creating model from config: C:\Users\gunne\stable-diffusion-webui\configs\v1-inference.yaml
LatentDiffusion: Running in eps-prediction mode
DiffusionWrapper has 859.52 M params.
Applying cross attention optimization (Doggettx).
Textual inversion embeddings loaded(0):
Model loaded in 2.8s (load weights from disk: 0.1s, create model: 0.3s, apply weights to model: 0.6s, apply half(): 0.6s, move model to device: 0.5s, load textual inversion embeddings: 0.7s).
Running on local URL:  http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.
Startup time: 7.0s (import torch: 1.0s, import gradio: 0.7s, import ldm: 0.4s, other imports: 0.6s, load scripts: 0.7s, load SD checkpoint: 2.9s, create ui: 0.5s, gradio launch: 0.2s).
Error verifying pickled file from C:\Users\gunne\stable-diffusion-webui\models\RealESRGAN\RealESRGAN_x4plus.pth:
Traceback (most recent call last):
  File "C:\Users\gunne\stable-diffusion-webui\modules\safe.py", line 132, in load_with_extra
    check_pt(filename, extra_handler)
  File "C:\Users\gunne\stable-diffusion-webui\modules\safe.py", line 90, in check_pt
    unpickler.load()
  File "C:\Users\gunne\stable-diffusion-webui\modules\safe.py", line 27, in persistent_load
    return TypedStorage(_internal=True)
TypeError: _TypedStorage.__new__() got an unexpected keyword argument '_internal'

The file may be malicious, so the program is not going to read it.
You can skip this check with --disable-safe-unpickle commandline argument.

Error completing request
Arguments: (0, <PIL.Image.Image image mode=RGB size=720x360 at 0x1D47FB0A440>, None, '', '', True, 0, 4, 512, 512, True, 'R-ESRGAN 4x+', 'None', 0, 0, 0, 0) {}
Traceback (most recent call last):
  File "C:\Users\gunne\stable-diffusion-webui\modules\call_queue.py", line 57, in f
    res = list(func(*args, **kwargs))
  File "C:\Users\gunne\stable-diffusion-webui\modules\call_queue.py", line 37, in f
    res = func(*args, **kwargs)
  File "C:\Users\gunne\stable-diffusion-webui\modules\postprocessing.py", line 61, in run_postprocessing
    scripts.scripts_postproc.run(pp, args)
  File "C:\Users\gunne\stable-diffusion-webui\modules\scripts_postprocessing.py", line 130, in run
    script.process(pp, **process_args)
  File "C:\Users\gunne\stable-diffusion-webui\scripts\postprocessing_upscale.py", line 100, in process
    upscaled_image = self.upscale(pp.image, pp.info, upscaler1, upscale_mode, upscale_by, upscale_to_width, upscale_to_height, upscale_crop)
  File "C:\Users\gunne\stable-diffusion-webui\scripts\postprocessing_upscale.py", line 70, in upscale
    image = upscaler.scaler.upscale(image, upscale_by, upscaler.data_path)
  File "C:\Users\gunne\stable-diffusion-webui\modules\upscaler.py", line 63, in upscale
    img = self.do_upscale(img, selected_model)
  File "C:\Users\gunne\stable-diffusion-webui\modules\realesrgan_model.py", line 53, in do_upscale
    upsampler = RealESRGANer(
  File "C:\Users\gunne\stable-diffusion-webui\venv\lib\site-packages\realesrgan\utils.py", line 66, in __init__
    if 'params_ema' in loadnet:
TypeError: argument of type 'NoneType' is not iterable

Additional information

No response

anapnoe / stable-diffusion-webui-ux

[Bug]: #113