[Bug]: IPEX - Face Restoration not working

Is there an existing issue for this?

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

What happened?

This was already discussed in another post, but it's probably better to make a completely new one. In IPEX, the Face Restoration option is not working. There is no error, when using either CodeFormer or GFPGAN simply nothing happens. This also results in Face Swapping Extensions such as Reactor being broken and unusable.

Steps to reproduce the problem

Launch SD with IPEX
Go to Extras and insert an Image
Enable either CodeFormer or GFPGAN

What should have happened?

Face Restoration should...well restore faces but doesn't do anything.

Sysinfo

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"certifi==2023.11.17", "cffi==1.16.0", "charset-normalizer==3.3.2", "clean-fid==0.1.35", "click==8.1.7", "clip==1.0", "colorama==0.4.6", "coloredlogs==15.0.1", "contourpy==1.2.0", "cssselect2==0.7.0", "cycler==0.12.1", "cython==3.0.6", "decorator==5.1.1", "deprecation==2.1.0", "easydict==1.11", "einops==0.4.1", "exceptiongroup==1.2.0", "face-alignment==1.3.5", "facexlib==0.3.0", "fastapi==0.94.0", "ffmpy==0.3.1", "filelock==3.13.1", "filterpy==1.4.5", "flatbuffers==23.5.26", "fonttools==4.46.0", "frozenlist==1.4.0", "fsspec==2023.12.1", "ftfy==6.1.3", "future==0.18.3", "fvcore==0.1.5.post20221221", "gdown==4.7.1", "gfpgan==1.3.8", "gitdb==4.0.11", "gitpython==3.1.32", "google-auth-oauthlib==1.1.0", "google-auth==2.25.1", "gradio-client==0.5.0", "gradio==3.41.2", "grpcio==1.60.0", "h11==0.12.0", "httpcore==0.15.0", "httpx==0.24.1", "huggingface-hub==0.19.4", "humanfriendly==10.0", "idna==3.6", "imageio-ffmpeg==0.4.7", "imageio==2.33.0", "importlib-metadata==7.0.0", "importlib-resources==6.1.1", "inflection==0.5.1", "insightface==0.7.3", "intel-extension-for-pytorch==2.0.110+gitc6ea20b", "iopath==0.1.9", "jinja2==3.1.2", "joblib==1.3.2", "jsonmerge==1.8.0", "jsonschema-specifications==2023.11.2", "jsonschema==4.20.0", "kiwisolver==1.4.5", "kornia==0.6.7", "lark==1.1.2", "lazy-loader==0.3", "librosa==0.8.0", "lightning-utilities==0.10.0", "llvmlite==0.41.1", "lmdb==1.4.1", "lpips==0.1.4", "lxml==4.9.3", "markdown==3.5.1", "markupsafe==2.1.3", "matplotlib==3.8.2", "mediapipe==0.10.8", "mpmath==1.3.0", "multidict==6.0.4", "networkx==3.2.1", "numba==0.58.1", "numpy==1.23.5", "oauthlib==3.2.2", "omegaconf==2.2.3", "onnx==1.15.0", "onnxruntime-gpu==1.16.3", "onnxruntime==1.16.3", "open-clip-torch==2.20.0", "opencv-contrib-python==4.8.1.78", "opencv-python-headless==4.8.1.78", "opencv-python==4.8.1.78", "orjson==3.9.10", "packaging==23.2", "pandas==2.1.3", "piexif==1.1.3", "pillow==9.5.0", "pip==23.0.1", "platformdirs==4.1.0", "pooch==1.8.0", "portalocker==2.8.2", "prettytable==3.9.0", "protobuf==4.25.1", "psutil==5.9.5", "pyasn1-modules==0.3.0", "pyasn1==0.5.1", "pycparser==2.21", "pydantic==1.10.13", "pydub==0.25.1", "pyparsing==3.1.1", "pyreadline3==3.4.1", "pysocks==1.7.1", "python-dateutil==2.8.2", "python-multipart==0.0.6", "pytorch-lightning==1.9.4", "pytz==2023.3.post1", "pywavelets==1.5.0", "pywin32==306", "pyyaml==6.0.1", "qudida==0.0.4", "realesrgan==0.3.0", "referencing==0.32.0", "regex==2023.10.3", "reportlab==4.0.7", "requests-oauthlib==1.3.1", "requests==2.31.0", "resampy==0.4.2", "resize-right==0.0.2", "rpds-py==0.13.2", "rsa==4.9", "safetensors==0.3.1", "scikit-image==0.21.0", "scikit-learn==1.3.2", "scipy==1.11.4", "semantic-version==2.10.0", "sentencepiece==0.1.99", "setuptools==65.5.0", "six==1.16.0", "smmap==5.0.1", "sniffio==1.3.0", "sounddevice==0.4.6", "soundfile==0.12.1", "soupsieve==2.5", "starlette==0.26.1", "svglib==1.5.1", "sympy==1.12", "tabulate==0.9.0", "tb-nightly==2.16.0a20231206", "tensorboard-data-server==0.7.2", "termcolor==2.4.0", "tf-keras-nightly==2.16.0.dev2023120710", "threadpoolctl==3.2.0", "tifffile==2023.9.26", "timm==0.9.2", "tinycss2==1.2.1", "tokenizers==0.13.3", "tomesd==0.1.3", "tomli==2.0.1", "toolz==0.12.0", "torch==2.0.0a0+gite9ebda2", "torchdiffeq==0.2.3", "torchmetrics==1.2.1", "torchsde==0.2.6", "torchvision==0.15.2a0+fa99a53", "tqdm==4.66.1", "trampoline==0.1.2", "transformers==4.30.2", "typing-extensions==4.8.0", "tzdata==2023.3", "urllib3==2.1.0", "uvicorn==0.24.0.post1", "wcwidth==0.2.12", "webencodings==0.5.1", "websockets==11.0.3", "werkzeug==3.0.1", "yacs==0.1.8", "yapf==0.40.2", "yarl==1.9.4", "zipp==3.17.0" ] }

What browsers do you use to access the UI ?

Edge

Console logs

venv "C:\Tools\IPEX\stable-diffusion-webui-1.7.0-RC\venv\Scripts\Python.exe"
Python 3.10.11 (tags/v3.10.11:7d4cc5a, Apr  5 2023, 00:38:17) [MSC v.1929 64 bit (AMD64)]
Version: v1.6.1
Commit hash: 4afaaf8a020c1df457bcf7250cb1c7f609699fa7
ReActor preheating... Device: CPU
Launching Web UI with arguments: --use-ipex --ckpt-dir C:\Tools\CL Models\15SD --lora-dir C:\Tools\CL Models\15Lora
C:\Tools\IPEX\stable-diffusion-webui-1.7.0-RC\venv\lib\site-packages\torchvision\io\image.py:13: UserWarning: Failed to load image Python extension: ''If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source?
  warn(
no module 'xformers'. Processing without...
No SDP backend available, likely because you are running in pytorch versions < 2.0. In fact, you are using PyTorch 2.0.0a0+gite9ebda2. You might want to consider upgrading.
no module 'xformers'. Processing without...
No module 'xformers'. Proceeding without it.
Style database not found: C:\Tools\IPEX\stable-diffusion-webui-1.7.0-RC\styles.csv
Warning: caught exception 'Torch not compiled with CUDA enabled', memory monitor disabled
==============================================================================
You are running torch 2.0.0a0+gite9ebda2.
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.
==============================================================================
Civitai Helper: Get Custom Model Folder
Tag Autocomplete: Could not locate model-keyword extension, Lora trigger word completion will be limited to those added through the extra networks menu.
2023-12-15 17:46:55,428 - ControlNet - INFO - ControlNet v1.1.422
ControlNet preprocessor location: C:\Tools\IPEX\stable-diffusion-webui-1.7.0-RC\extensions\sd-webui-controlnet\annotator\downloads
2023-12-15 17:46:55,513 - ControlNet - INFO - ControlNet v1.1.422
17:46:56 - ReActor - STATUS - Running v0.6.0-a1
Loading weights [b3e6c70a5a] from C:\Tools\CL Models\15SD\Realistic\fantasticmix_v70.safetensors
Creating model from config: C:\Tools\IPEX\stable-diffusion-webui-1.7.0-RC\configs\v1-inference.yaml
Civitai Helper: Settings:
Civitai Helper: max_size_preview: True
Civitai Helper: skip_nsfw_preview: False
Civitai Helper: open_url_with_js: True
Civitai Helper: proxy:
Civitai Helper: use civitai api key: False
Running on local URL:  http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.
Startup time: 36.0s (prepare environment: 21.7s, import torch: 3.3s, import gradio: 1.2s, setup paths: 1.0s, initialize shared: 3.3s, other imports: 0.8s, setup codeformer: 0.1s, list SD models: 0.3s, load scripts: 2.3s, create ui: 1.7s, gradio launch: 0.2s).
Loading VAE weights specified in settings: C:\Tools\IPEX\stable-diffusion-webui-1.7.0-RC\models\VAE\vae-ft-mse-840000-ema-pruned.vae.pt
Applying attention optimization: sub-quadratic... done.
Model loaded in 36.4s (load weights from disk: 1.2s, create model: 0.3s, apply weights to model: 7.1s, load VAE: 24.2s, move model to device: 0.1s, calculate empty prompt: 3.5s).

Additional information

No response

AUTOMATIC1111 / stable-diffusion-webui