[Bug]: Inpaint Sketch not working

[Sofras]

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?

Whenever I try to use inpaint sketch, it doesn't work and instead sends this on my console,

In this example I'm using a picture taken from my phone but this is what happens not matter what picture I use, whether it's from my phone, PC or the internet.

In the logs I attempted it multiple times.

Steps to reproduce the problem

1.Open WebUI
2.Go to img2img
3.Go to inpaint sketch
4.Insert img and paint it
5.Press generate
6.It doesn't work and sends this message

What should have happened?

It should normally generate the picture

What browsers do you use to access the UI ?

No response

Sysinfo

sysinfo-2024-08-28-10-19.json

Console logs

Version: v1.10.1
Commit hash: 82a973c04367123ae98bd9abdf80d9eda9b910e2
Launching Web UI with arguments: --no-half-vae
no module 'xformers'. Processing without...
no module 'xformers'. Processing without...
No module 'xformers'. Proceeding without it.
==============================================================================
You are running torch 2.0.1+cu118.
The program is tested to work with torch 2.1.2.
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.
==============================================================================
Tag Autocomplete: Could not locate model-keyword extension, Lora trigger word completion will be limited to those added through the extra networks menu.
[-] ADetailer initialized. version: 24.6.0, num models: 10
CivitAI Browser+: Aria2 RPC started
sd-webui-prompt-all-in-one background API service started successfully.
Loading weights [059934ff58] from C:\Users\Vag\stable-diffusion-webui\models\Stable-diffusion\ponyRealism_v21VAE.safetensors
Creating model from config: C:\Users\Vag\stable-diffusion-webui\repositories\generative-models\configs\inference\sd_xl_base.yaml
Running on local URL:  http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.
Startup time: 28.6s (prepare environment: 5.6s, import torch: 4.6s, import gradio: 2.2s, setup paths: 2.2s, initialize shared: 0.3s, other imports: 1.6s, load scripts: 2.2s, create ui: 5.3s, gradio launch: 2.9s, app_started_callback: 1.8s).Applying attention optimization: Doggettx... done.
Model loaded in 14.4s (load weights from disk: 0.6s, create model: 0.7s, apply weights to model: 12.4s, apply half(): 0.1s, calculate empty prompt: 0.4s).
Traceback (most recent call last):
  File "C:\Users\Vag\stable-diffusion-webui\venv\lib\site-packages\gradio\routes.py", line 488, in run_predict
    output = await app.get_blocks().process_api(
  File "C:\Users\Vag\stable-diffusion-webui\venv\lib\site-packages\gradio\blocks.py", line 1429, in process_api
    inputs = self.preprocess_data(fn_index, inputs, state)
  File "C:\Users\Vag\stable-diffusion-webui\venv\lib\site-packages\gradio\blocks.py", line 1239, in preprocess_data
    processed_input.append(block.preprocess(inputs[i]))
  File "C:\Users\Vag\stable-diffusion-webui\venv\lib\site-packages\gradio\components\image.py", line 270, in preprocess
    assert isinstance(x, dict)
AssertionError
Traceback (most recent call last):
  File "C:\Users\Vag\stable-diffusion-webui\venv\lib\site-packages\gradio\routes.py", line 488, in run_predict
    output = await app.get_blocks().process_api(
  File "C:\Users\Vag\stable-diffusion-webui\venv\lib\site-packages\gradio\blocks.py", line 1431, in process_api
    result = await self.call_function(
  File "C:\Users\Vag\stable-diffusion-webui\venv\lib\site-packages\gradio\blocks.py", line 1103, in call_function
    prediction = await anyio.to_thread.run_sync(
  File "C:\Users\Vag\stable-diffusion-webui\venv\lib\site-packages\anyio\to_thread.py", line 33, in run_sync
    return await get_asynclib().run_sync_in_worker_thread(
  File "C:\Users\Vag\stable-diffusion-webui\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 877, in run_sync_in_worker_thread
    return await future
  File "C:\Users\Vag\stable-diffusion-webui\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 807, in run
    result = context.run(func, *args)
  File "C:\Users\Vag\stable-diffusion-webui\venv\lib\site-packages\gradio\utils.py", line 707, in wrapper
    response = f(*args, **kwargs)
  File "C:\Users\Vag\stable-diffusion-webui\modules\ui.py", line 560, in update_orig
    has_exact_match = np.any(np.all(np.array(image) == np.array(state), axis=-1))
ValueError: operands could not be broadcast together with shapes (151,84,3) (910,512,3)
Traceback (most recent call last):
  File "C:\Users\Vag\stable-diffusion-webui\venv\lib\site-packages\gradio\routes.py", line 488, in run_predict
    output = await app.get_blocks().process_api(
  File "C:\Users\Vag\stable-diffusion-webui\venv\lib\site-packages\gradio\blocks.py", line 1431, in process_api
    result = await self.call_function(
  File "C:\Users\Vag\stable-diffusion-webui\venv\lib\site-packages\gradio\blocks.py", line 1103, in call_function
    prediction = await anyio.to_thread.run_sync(
  File "C:\Users\Vag\stable-diffusion-webui\venv\lib\site-packages\anyio\to_thread.py", line 33, in run_sync
    return await get_asynclib().run_sync_in_worker_thread(
  File "C:\Users\Vag\stable-diffusion-webui\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 877, in run_sync_in_worker_thread
    return await future
  File "C:\Users\Vag\stable-diffusion-webui\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 807, in run
    result = context.run(func, *args)
  File "C:\Users\Vag\stable-diffusion-webui\venv\lib\site-packages\gradio\utils.py", line 707, in wrapper
    response = f(*args, **kwargs)
  File "C:\Users\Vag\stable-diffusion-webui\modules\ui.py", line 560, in update_orig
    has_exact_match = np.any(np.all(np.array(image) == np.array(state), axis=-1))
ValueError: operands could not be broadcast together with shapes (24,12,3) (910,512,3)
Traceback (most recent call last):
  File "C:\Users\Vag\stable-diffusion-webui\venv\lib\site-packages\gradio\routes.py", line 488, in run_predict
    output = await app.get_blocks().process_api(
  File "C:\Users\Vag\stable-diffusion-webui\venv\lib\site-packages\gradio\blocks.py", line 1429, in process_api
    inputs = self.preprocess_data(fn_index, inputs, state)
  File "C:\Users\Vag\stable-diffusion-webui\venv\lib\site-packages\gradio\blocks.py", line 1239, in preprocess_data
    processed_input.append(block.preprocess(inputs[i]))
  File "C:\Users\Vag\stable-diffusion-webui\venv\lib\site-packages\gradio\components\image.py", line 270, in preprocess
    assert isinstance(x, dict)
AssertionError
Traceback (most recent call last):
  File "C:\Users\Vag\stable-diffusion-webui\venv\lib\site-packages\gradio\routes.py", line 488, in run_predict
    output = await app.get_blocks().process_api(
  File "C:\Users\Vag\stable-diffusion-webui\venv\lib\site-packages\gradio\blocks.py", line 1429, in process_api
    inputs = self.preprocess_data(fn_index, inputs, state)
  File "C:\Users\Vag\stable-diffusion-webui\venv\lib\site-packages\gradio\blocks.py", line 1239, in preprocess_data
    processed_input.append(block.preprocess(inputs[i]))
  File "C:\Users\Vag\stable-diffusion-webui\venv\lib\site-packages\gradio\components\image.py", line 270, in preprocess
    assert isinstance(x, dict)
AssertionError
Traceback (most recent call last):
  File "C:\Users\Vag\stable-diffusion-webui\venv\lib\site-packages\gradio\routes.py", line 488, in run_predict
    output = await app.get_blocks().process_api(
  File "C:\Users\Vag\stable-diffusion-webui\venv\lib\site-packages\gradio\blocks.py", line 1429, in process_api
    inputs = self.preprocess_data(fn_index, inputs, state)
  File "C:\Users\Vag\stable-diffusion-webui\venv\lib\site-packages\gradio\blocks.py", line 1239, in preprocess_data
    processed_input.append(block.preprocess(inputs[i]))
  File "C:\Users\Vag\stable-diffusion-webui\venv\lib\site-packages\gradio\components\image.py", line 270, in preprocess
    assert isinstance(x, dict)
AssertionError

Additional information

No response