Is there an existing issue for this?
What happened?
the program is working very perfectly actually . but it's stopped in this certain stage without giving me a "error" and at first i thought it's a an error but right now i don't know what to do ? .
Steps to reproduce the problem
i pressed Webui-user.bat
What should have happened?
it should have launched the Webui in it's Google interface
Version or Commit where the problem happens
1.5.1
What Python version are you running on ?
Python 3.10.x
What platforms do you use to access the UI ?
Windows
What device are you running WebUI on?
CPU
Cross attention optimization
Automatic
What browsers do you use to access the UI ?
Google Chrome
Command Line Arguments
use-cpu all --precision full --no-half --skip-torch-cuda-test
List of extensions
none
Console logs
venv "D:\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)]
Version: v1.5.1
Commit hash: 68f336bd994bed5442ad95bad6b6ad5564a5409a
Launching Web UI with arguments: --use-cpu all --precision full --no-half --skip-torch-cuda-test
no module 'xformers'. Processing without...
no module 'xformers'. Processing without...
No module 'xformers'. Proceeding without it.
Warning: caught exception 'Torch not compiled with CUDA enabled', memory monitor disabled
Loading weights [6ce0161689] from D:\stable-diffusion-webui\models\Stable-diffusion\v1-5-pruned-emaonly.safetensors
Running on local URL: http://127.0.0.1:7860
To create a public link, set `share=True` in `launch()`.
Startup time: 58.8s (launcher: 4.4s, import torch: 25.3s, import gradio: 6.2s, setup paths: 7.6s, other imports: 8.2s, setup codeformer: 0.2s, load scripts: 2.4s, reload hypernetworks: 0.1s, initialize extra networks: 0.2s, create ui: 2.0s, gradio launch: 2.0s).
Creating model from config: D:\stable-diffusion-webui\configs\v1-inference.yaml
LatentDiffusion: Running in eps-prediction mode
DiffusionWrapper has 859.52 M params.
Applying attention optimization: InvokeAI... done.
Model loaded in 103.4s (load weights from disk: 4.7s, create model: 2.0s, apply weights to model: 94.6s, load textual inversion embeddings: 0.1s, calculate empty prompt: 1.8s).
Additional information
this is much it