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collab link

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AUTOMATIC 2022-09-06 10:58:58 +03:00
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README.md
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@ -5,7 +5,7 @@ A browser interface based on Gradio library for Stable Diffusion.
## Feature showcase
[<font size="12">Detailed feature showcase with images, art by Greg Rutkowski</font>](https://github.com/AUTOMATIC1111/stable-diffusion-webui-feature-showcase)
[Detailed feature showcase with images, art by Greg Rutkowski](https://github.com/AUTOMATIC1111/stable-diffusion-webui-feature-showcase)
- Original txt2img and img2img modes
- One click install and run script (but you still must install python, git and CUDA)
@ -72,6 +72,12 @@ as model if it has .pth extension. Grab models from the [Model Database](https:/
- webui.bat installs requirements from files `requirements_versions.txt`, which lists versions for modules specifically compatible with Python 3.10.6. If you choose to install for a different version of python, editing `webui.bat` to have `set REQS_FILE=requirements.txt` instead of `set REQS_FILE=requirements_versions.txt` may help (but I still reccomend you to just use the recommended version of python).
- if you feel you broke something and want to reinstall from scratch, delete directories: `venv`, `repositories`.
## Google collab
If you don't want or can't run locally, here is google collab that allows you to run the webui:
https://colab.research.google.com/drive/1Iy-xW9t1-OQWhb0hNxueGij8phCyluOh
### Manual instructions
Alternatively, if you don't want to run webui.bat, here are instructions for installing
everything by hand:

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modules/shared.py
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@ -32,10 +32,6 @@ parser.add_argument("--share", action='store_true', help="use share=True for gra
parser.add_argument("--esrgan-models-path", type=str, help="path to directory with ESRGAN models", default=os.path.join(script_path, 'ESRGAN'))
parser.add_argument("--opt-split-attention", action='store_true', help="enable optimization that reduced vram usage by a lot for about 10% decrease in performance")
parser.add_argument("--listen", action='store_true', help="launch gradio with 0.0.0.0 as server name, allowing to respond to network requests")
if 'notebook_argv' in globals():
cmd_opts = parser.parse_args(notebook_argv)
else:
cmd_opts = parser.parse_args()
cpu = torch.device("cpu")