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Install script for stable-diffusion + Web UI
Tested on Debian 11 (Bullseye), Fedora 34+ and openSUSE Leap 15.4 or newer.
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Running on ubuntu user
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Repo already cloned, using it as install directory
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python venv already activate or run without venv: /home/ubuntu/research/web_ui/stable-diffusion-webui/venv
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Launching launch.py...
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Cannot locate TCMalloc (improves CPU memory usage)
Python 3.10.9 | packaged by conda-forge | (main, Feb  2 2023, 20:20:04) [GCC 11.3.0]
Version: v1.7.0
Commit hash: cf2772fab0af5573da775e7437e6acdca424f26e
Launching Web UI with arguments: --share
/opt/conda/lib/python3.10/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: '/opt/conda/lib/python3.10/site-packages/torchvision/image.so: undefined symbol: _ZN3c1017RegisterOperatorsD1Ev'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'. Proceeding without it.
Style database not found: /home/ubuntu/research/stable-diffusion-webui/styles.csv
ControlNet preprocessor location: /home/ubuntu/research/stable-diffusion-webui/extensions/sd-webui-controlnet/annotator/downloads
2024-02-16 02:06:10,136 - ControlNet - INFO - ControlNet v1.1.426
2024-02-16 02:06:10,220 - ControlNet - INFO - ControlNet v1.1.426
Loading weights [31e35c80fc] from /home/ubuntu/research/stable-diffusion-webui/models/Stable-diffusion/sd_xl_base_1.0.safetensors
Running on local URL:  http://127.0.0.1:7860
Creating model from config: /home/ubuntu/research/stable-diffusion-webui/repositories/generative-models/configs/inference/sd_xl_base.yaml
Running on public URL: https://0f732ec4deaf65997e.gradio.live

This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)
Startup time: 16.2s (prepare environment: 1.7s, import torch: 2.6s, import gradio: 0.8s, setup paths: 0.9s, initialize shared: 0.2s, other imports: 0.5s, load scripts: 0.6s, create ui: 0.5s, gradio launch: 8.4s).
Applying attention optimization: Doggettx... done.
Model loaded in 12.8s (load weights from disk: 2.0s, create model: 0.4s, apply weights to model: 9.7s, load textual inversion embeddings: 0.3s, calculate empty prompt: 0.2s).
process_images_inner
model info

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==========================================================================================
A tensor with all NaNs was produced in VAE.
Web UI will now convert VAE into 32-bit float and retry.
To disable this behavior, disable the 'Automatically revert VAE to 32-bit floats' setting.
To always start with 32-bit VAE, use --no-half-vae commandline flag.
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