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Merge pull request #148 from dgrenner/add-settings-file
Add settings file
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@ -8,4 +8,5 @@ __pycache__
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/ui-config.json
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/outputs
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/config.json
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/log
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/log
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webui.settings.bat
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@ -63,7 +63,7 @@ as model if it has .pth extension. Grab models from the [Model Database](https:/
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#### Troublehooting:
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- if your version of Python is not in PATH (or if another version is), edit `webui.bat`, change the line `set PYTHON=python` to say the full path to your python executable: `set PYTHON=B:\soft\Python310\python.exe`. You can do this for python, but not for git.
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- if your version of Python is not in PATH (or if another version is), create or modify `webui.settings.bat` in the root folder (same place as webui.bat), add the line `set PYTHON=python` to say the full path to your python executable: `set PYTHON=B:\soft\Python310\python.exe`. You can do this for python, but not for git.
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- if you get out of memory errors and your videocard has low amount of VRAM (4GB), edit `webui.bat`, change line 5 to from `set COMMANDLINE_ARGS=` to `set COMMANDLINE_ARGS=--medvram` (see below for other possible options)
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- installer creates python virtual environment, so none of installed modules will affect your system installation of python if you had one prior to installing this.
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- to prevent the creation of virtual environment and use your system python, edit `webui.bat` replacing `set VENV_DIR=venv` with `set VENV_DIR=`.
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@ -77,7 +77,7 @@ If you don't want or can't run locally, here is google collab that allows you to
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https://colab.research.google.com/drive/1Iy-xW9t1-OQWhb0hNxueGij8phCyluOh
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### What options to use for low VRAM videocards?
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Use command line options by editing `webui.bat`, adding them to the end of the `set COMMANDLINE_ARGS=` line.
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Use command line options by creating or modifying `webui.settings.bat` in the root folder (same place as webui.bat), adding a line with `set COMMANDLINE_ARGS=`, and adding the settings at the end of that line.
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For example, `set COMMANDLINE_ARGS=--medvram --opt-split-attention`.
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- If you have 4GB VRAM and want to make 512x512 (or maybe up to 640x640) images, use `--medvram`.
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