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@ -5,7 +5,7 @@ A browser interface based on Gradio library for Stable Diffusion.
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## Feature showcase
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[<font size="12">Detailed feature showcase with images, art by Greg Rutkowski</font>](https://github.com/AUTOMATIC1111/stable-diffusion-webui-feature-showcase)
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[Detailed feature showcase with images, art by Greg Rutkowski](https://github.com/AUTOMATIC1111/stable-diffusion-webui-feature-showcase)
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- Original txt2img and img2img modes
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- One click install and run script (but you still must install python, git and CUDA)
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@ -72,6 +72,12 @@ as model if it has .pth extension. Grab models from the [Model Database](https:/
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- 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).
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- if you feel you broke something and want to reinstall from scratch, delete directories: `venv`, `repositories`.
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## Google collab
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If you don't want or can't run locally, here is google collab that allows you to run the webui:
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https://colab.research.google.com/drive/1Iy-xW9t1-OQWhb0hNxueGij8phCyluOh
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### Manual instructions
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Alternatively, if you don't want to run webui.bat, here are instructions for installing
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everything by hand:
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@ -32,11 +32,7 @@ parser.add_argument("--share", action='store_true', help="use share=True for gra
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parser.add_argument("--esrgan-models-path", type=str, help="path to directory with ESRGAN models", default=os.path.join(script_path, 'ESRGAN'))
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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")
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parser.add_argument("--listen", action='store_true', help="launch gradio with 0.0.0.0 as server name, allowing to respond to network requests")
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if 'notebook_argv' in globals():
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cmd_opts = parser.parse_args(notebook_argv)
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else:
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cmd_opts = parser.parse_args()
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cmd_opts = parser.parse_args()
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cpu = torch.device("cpu")
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gpu = torch.device("cuda")
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