[Bug]: WebUI can no longer be opened in multiple tabs

taisa443 commented 1 month ago

Checklist

[ ] 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
[ ] The issue has been reported before but has not been fixed yet

What happened?

I used to run WebUI in Google Chrome and generate images using multiple tabs, but now I can only use one tab. If I use different accounts or other browsers to avoid session conflicts, I'm able to generate images. I thought it was a bug only in Forge, but it's causing problems in other places too.

Steps to reproduce the problem

I think there is a problem with my PC from the Webui.

What should have happened?

It is possible to generate images using multiple tabs in a single browser.

What browsers do you use to access the UI ?

Google Chrome

Sysinfo

sysinfo-2024-08-31-07-18.json

Console logs

venv "C:\stable-diffusion-webui-forge\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: f2.0.1v1.10.1-previous-480-g3b9b2f65
Commit hash: 3b9b2f653ef9579e871e73f34b3c5037395cc351
Launching Web UI with arguments:
Total VRAM 12282 MB, total RAM 65246 MB
pytorch version: 2.3.1+cu121
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA GeForce RTX 4070 Ti : native
Hint: your device supports --cuda-malloc for potential speed improvements.
VAE dtype preferences: [torch.bfloat16, torch.float32] -> torch.bfloat16
CUDA Using Stream: False
Using pytorch cross attention
Using pytorch attention for VAE
ControlNet preprocessor location: C:\stable-diffusion-webui-forge\models\ControlNetPreprocessor
2024-08-31 14:50:46,039 - ControlNet - INFO - ControlNet UI callback registered.
You do not have any model!
Model selected: {'checkpoint_info': None, 'additional_modules': [], 'unet_storage_dtype': None}
Using online LoRAs in FP16: False
Running on local URL:  http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.
Startup time: 41.0s (prepare environment: 1.8s, import torch: 15.5s, initialize shared: 0.1s, other imports: 9.5s, load scripts: 11.2s, create ui: 2.0s, gradio launch: 0.8s).
Environment vars changed: {'stream': False, 'inference_memory': 1024.0, 'pin_shared_memory': False}
[GPU Setting] You will use 91.66% GPU memory (11257.00 MB) to load weights, and use 8.34% GPU memory (1024.00 MB) to do matrix computation.
You do not have any model!
Model selected: {'checkpoint_info': None, 'additional_modules': [], 'unet_storage_dtype': None}
Using online LoRAs in FP16: False
Environment vars changed: {'stream': False, 'inference_memory': 1024.0, 'pin_shared_memory': False}
[GPU Setting] You will use 91.66% GPU memory (11257.00 MB) to load weights, and use 8.34% GPU memory (1024.00 MB) to do matrix computation.
Environment vars changed: {'stream': False, 'inference_memory': 1024.0, 'pin_shared_memory': False}
[GPU Setting] You will use 91.66% GPU memory (11257.00 MB) to load weights, and use 8.34% GPU memory (1024.00 MB) to do matrix computation.
Environment vars changed: {'stream': False, 'inference_memory': 1024.0, 'pin_shared_memory': False}
[GPU Setting] You will use 91.66% GPU memory (11257.00 MB) to load weights, and use 8.34% GPU memory (1024.00 MB) to do matrix computation.
You do not have any model!
Model selected: {'checkpoint_info': None, 'additional_modules': [], 'unet_storage_dtype': None}
Using online LoRAs in FP16: False
You do not have any model!
Model selected: {'checkpoint_info': None, 'additional_modules': [], 'unet_storage_dtype': None}
Using online LoRAs in FP16: False
You do not have any model!
Model selected: {'checkpoint_info': None, 'additional_modules': [], 'unet_storage_dtype': None}
Using online LoRAs in FP16: False
Environment vars changed: {'stream': False, 'inference_memory': 1024.0, 'pin_shared_memory': False}
[GPU Setting] You will use 91.66% GPU memory (11257.00 MB) to load weights, and use 8.34% GPU memory (1024.00 MB) to do matrix computation.
Environment vars changed: {'stream': False, 'inference_memory': 1024.0, 'pin_shared_memory': False}
[GPU Setting] You will use 91.66% GPU memory (11257.00 MB) to load weights, and use 8.34% GPU memory (1024.00 MB) to do matrix computation.
You do not have any model!
Model selected: {'checkpoint_info': None, 'additional_modules': [], 'unet_storage_dtype': None}
Using online LoRAs in FP16: False
Environment vars changed: {'stream': False, 'inference_memory': 1024.0, 'pin_shared_memory': False}
[GPU Setting] You will use 91.66% GPU memory (11257.00 MB) to load weights, and use 8.34% GPU memory (1024.00 MB) to do matrix computation.
Environment vars changed: {'stream': False, 'inference_memory': 1024.0, 'pin_shared_memory': False}
[GPU Setting] You will use 91.66% GPU memory (11257.00 MB) to load weights, and use 8.34% GPU memory (1024.00 MB) to do matrix computation.
Environment vars changed: {'stream': False, 'inference_memory': 1024.0, 'pin_shared_memory': False}
[GPU Setting] You will use 91.66% GPU memory (11257.00 MB) to load weights, and use 8.34% GPU memory (1024.00 MB) to do matrix computation.
Environment vars changed: {'stream': False, 'inference_memory': 1024.0, 'pin_shared_memory': False}
[GPU Setting] You will use 91.66% GPU memory (11257.00 MB) to load weights, and use 8.34% GPU memory (1024.00 MB) to do matrix computation.
Environment vars changed: {'stream': False, 'inference_memory': 1024.0, 'pin_shared_memory': False}
[GPU Setting] You will use 91.66% GPU memory (11257.00 MB) to load weights, and use 8.34% GPU memory (1024.00 MB) to do matrix computation.
You do not have any model!
Model selected: {'checkpoint_info': None, 'additional_modules': [], 'unet_storage_dtype': None}
Using online LoRAs in FP16: False

Additional information

I feel that it's not the WebUI, but my PC's behavior that has become strange.

No error messages. I think there are no problems with the model, GPU, or memory capacity.

w-e-w commented 1 month ago

you are using https://github.com/lllyasviel/stable-diffusion-webui-forge report the issue to the forge repo

taisa443 commented 1 month ago

https://github.com/lllyasviel/stable-diffusion-webui-forgeを使用している場合は、問題を forge リポジトリに報告してください。

It seems that this is causing problems with all WebUIs using gradio4.x. Ok, thanks.

AUTOMATIC1111 / stable-diffusion-webui