mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
Merge remote-tracking branch 'origin' into fix-model-load-error-reporting
This commit is contained in:
Lincoln Stein
commit
8202f34f38
@ -91,10 +91,11 @@ def main():
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safety_checker=opt.safety_checker,
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max_loaded_models=opt.max_loaded_models,
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)
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except FileNotFoundError:
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print('** You appear to be missing configs/models.yaml')
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print('** You can either exit this script and run scripts/preload_models.py, or fix the problem now.')
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emergency_model_create(opt)
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except (FileNotFoundError, TypeError):
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print('** You appear to have missing or misconfigured model files')
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print('** The script will now exit and run configure_invokeai.py to help fix the problem.')
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print('** After reconfiguration is done, please relaunch invoke.py.')
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emergency_model_reconfigure(opt)
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sys.exit(-1)
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except (IOError, KeyError) as e:
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print(f'{e}. Aborting.')
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@ -910,6 +911,10 @@ def write_commands(opt, file_path:str, outfilepath:str):
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f.write('\n'.join(commands))
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print(f'>> File {outfilepath} with commands created')
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def emergency_model_reconfigure():
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import configure_invokeai
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configure_invokeai.main()
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def emergency_model_create(opt:Args):
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completer = get_completer(opt)
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completer.complete_extensions(('.yaml','.yml','.ckpt','.vae.pt'))
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222
notebooks/Stable-Diffusion-local-Windows.ipynb
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222
notebooks/Stable-Diffusion-local-Windows.ipynb
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@ -0,0 +1,222 @@
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Easy-peasy Windows install"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Note that you will need NVIDIA drivers, Python 3.10, and Git installed\n",
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"beforehand - simplified\n",
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"[step-by-step instructions](https://invoke-ai.github.io/InvokeAI/installation/INSTALL_WINDOWS/#conda)\n",
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"are available in the wiki (you'll only need steps 1, 2, & 3 )"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Run each cell in turn. In VSCode, either hit SHIFT-ENTER, or click on the little ▶️ to the left of the cell. In Jupyter/JupyterLab, you **must** hit SHIFT-ENTER"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"%pip install pew"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"%%cmd\n",
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"git clone https://github.com/invoke-ai/InvokeAI.git\n",
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"cd /content/InvokeAI/\n",
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"git checkout --quiet development"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"%%cmd\n",
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"pew new --python 3.10 -r requirements-lin-win-colab-CUDA.txt --dont-activate invokeai"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Switch the notebook kernel to the new 'invokeai' environment!\n",
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"\n",
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"## VSCode: restart VSCode and come back to this cell\n",
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"\n",
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"1. Ctrl+Shift+P\n",
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"1. Type \"Select Interpreter\" and select \"Jupyter: Select Interpreter to Start Jupyter Server\"\n",
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"1. VSCode will say that it needs to install packages. Click the \"Install\" button.\n",
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"1. Once the install is finished, do 1 & 2 again\n",
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"1. Pick 'invokeai'\n",
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"1. Run the following cell"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"%cd InvokeAI"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"\n",
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"## Jupyter/JupyterLab\n",
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"\n",
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"1. Run the cell below\n",
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"1. Click on the toolbar where it says \"(ipyknel)\" ↗️. You should get a pop-up asking you to \"Select Kernel\". Pick 'invokeai' from the drop-down.\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### DO NOT RUN THE FOLLOWING CELL IF YOU ARE USING VSCODE!!"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# DO NOT RUN THIS CELL IF YOU ARE USING VSCODE!!\n",
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"%%cmd\n",
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"pew workon invokeai\n",
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"pip3 install ipykernel\n",
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"python -m ipykernel install --name=invokeai"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### When running the next cell, Jupyter/JupyterLab users might get a warning saying \"IProgress not found\". This can be ignored."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"%run \"scripts/preload_models.py\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"%%cmd\n",
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"mkdir \"models/ldm/stable-diffusion-v1\""
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Now copy the SD model you downloaded from Hugging Face into the above new directory, and (if necessary) rename it to 'model.ckpt'"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Now go create some magic!\n",
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"\n",
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"VSCode\n",
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"\n",
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"- The actual input box for the 'dream' prompt will appear at the very top of the VSCode window. Type in your commands and hit 'ENTER'.\n",
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"- To quit, hit the 'Interrupt' button in the toolbar up there ⬆️ a couple of times, then hit ENTER (you'll probably see a terrifying traceback from Python - just ignore it).\n",
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"\n",
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"Jupyter/JupyterLab\n",
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"\n",
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"- The input box for the 'dream' prompt will appear below. Type in your commands and hit 'ENTER'.\n",
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"- To quit, hit the interrupt button (⏹️) in the toolbar up there ⬆️ a couple of times, then hit ENTER (you'll probably see a terrifying traceback from Python - just ignore it)."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"%run \"scripts/dream.py\""
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Once this seems to be working well, you can try opening a terminal\n",
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"\n",
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"- VSCode: type ('CTRL+`')\n",
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"- Jupyter/JupyterLab: File|New Terminal\n",
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"- Or jump out of the notebook entirely, and open Powershell/Command Prompt\n",
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"\n",
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"Now:\n",
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"\n",
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"1. `cd` to wherever the 'InvokeAI' directory is\n",
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"1. Run `pew workon invokeai`\n",
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"1. Run `winpty python scripts\\dream.py`"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3.10.6 64-bit",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.6"
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},
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"vscode": {
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"interpreter": {
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"hash": "5e164cef426134bf171f386fbddecb52046b6c1479f922ab8dfdd30df05e0e80"
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}
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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