2023-02-09 13:18:32 -07:00
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{
2023-02-10 16:50:54 -07:00
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"image/png": "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
}
},
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"cell_type": "markdown",
"id": "2c831b5b-3025-4177-bef5-25aaec89573a",
"metadata": {},
"source": [
"## Every Dream v2 RunPod Installer\n",
"\n",
"[General Instructions](https://github.com/victorchall/EveryDream2trainer/blob/main/README.md)\n",
"\n",
"You can sign up for Runpod here (shameless referral link): [Runpod](https://runpod.io/?ref=oko38cd0)\n",
"\n",
"\n",
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"### Are you ready?\n",
"\n",
"You will want to have your data prepared before starting, and have a rough training plan in mind. \n",
"\n",
"**Don't waste rental fees if you're not fully prepared to start training.**\n",
"\n",
"### Spin up a training pod \n",
"Pick an A5000/3090 or better pod. Secure cloud tends to be more reliable. \n",
"\n",
"On-demand (default) pods will not get shut down in the middle of training.\n",
"\n",
"**Data loss may result if you use spot pricing** \n",
"\n",
"\n",
"\n",
"Select the `RunPod Stable Diffusion v2.1` template. _The `RunPod PyTorch` template does not work due to an old version of Python._ \n",
"\n",
"\n",
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"\n",
"#### A note on storage\n",
"\n",
"Remember, on RunPod time is more expensive than storage. \n",
"\n",
"Which is good, because running a lot of experiments can generate a lot of data. Not having the right save points to recover quickly from inevitable mistakes will cost you a lot of time.\n",
"\n",
"When in doubt, give yourself ~125GB of Runpod **Volume** storage.\n",
"\n",
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"#### Install EveryDream 2\n",
"Open this notebook with `File > Open from URL...` pointing to `https://raw.githubusercontent.com/victorchall/EveryDream2trainer/main/installers/Runpod.ipynb`\n",
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"\n",
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"\n",
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"\n",
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"New run each of the cells below, paying attention to the provided instructions.\n",
"\n"
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]
},
{
"cell_type": "markdown",
"id": "9cc4250a-bd89-4623-a188-7bb9fd3b99ec",
"metadata": {},
"source": [
"## Install EveryDream"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "bb6d14b7-3c37-4ec4-8559-16b4e9b8dd18",
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"\n",
"%cd /workspace\n",
"\n",
"if not os.path.exists(\"EveryDream2trainer\"):\n",
" !git clone https://github.com/victorchall/EveryDream2trainer\n",
"\n",
"%cd EveryDream2trainer\n",
"%mkdir input\n",
"%run utils/get_yamls.py\n",
"\n",
"!echo pass > /workspace/stable-diffusion-webui/relauncher.py"
]
},
{
"cell_type": "markdown",
"id": "5123d4e6-281c-4475-99fd-328f4d5df734",
"metadata": {},
"source": [
"### Check your VRAM\n",
"If you see `22000 MB` or lower, then trash your pod and pick an A5000/3090 or better pod next time\n",
"\n",
"If you see `24576 MB` or higher you are good to go, but notice that there are `3500 MB` being taken up by Automatic 1111.\n",
"\n",
"Simply killing the web-ui won't free up that VRAM, but fortunately we added a hack to disable it above.\n",
"\n",
"Unfortunately it will require a pod restart once everything is installed."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "0902e735",
"metadata": {},
"outputs": [],
"source": [
"!grep Swap /proc/meminfo\n",
"!swapon -s\n",
"!nvidia-smi"
]
},
{
"cell_type": "markdown",
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"id": "b54ddce4-6adb-4838-a4f3-493ab34488b0",
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"metadata": {},
"source": [
"## Upload training files\n",
"\n",
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"Use the navigation on the left to open the **/workspace/EveryDream2trainer/input** folder and upload your training files using the **up arrow button** above the file explorer, or by dragging and dropping the files from your local machine onto the file explorer.\n",
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"\n",
"If you have many training files, or nested folders of training data, create a zip archive of your training data, upload this file to the input folder, then right click on the zip file and select \"Extract Archive\".\n",
"\n",
"### Optional - Configure sample prompts\n",
"You can set your own sample prompts by adding them, one line at a time, to sample_prompts.txt.\n",
"\n",
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"Keep in mind a longer list of prompts will take longer to generate. You may also want to adjust you sample_steps in the training notebook to a different value to get samples left often. This is probably a good idea when training a larger dataset that you know will take longer to train, where more frequent samples will not help you."
]
},
{
"cell_type": "markdown",
"id": "731bfeac-8e51-4675-985a-73e05c56a3c0",
"metadata": {},
"source": [
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"## While your training data is uploading, go ahead to install the dependencies below\n",
"**This will a few minutes. Wait until it says \"DONE\" to move on.** \n",
"You can ignore \"warnings.\""
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9649a02c-fb2b-44f1-842d-d1662fa5c7cd",
"metadata": {
"scrolled": true,
"tags": []
},
"outputs": [],
"source": [
"!python -m pip install --upgrade pip\n",
"\n",
"!pip install requests==2.25.1\n",
"!pip install -U -I torch==1.13.1+cu117 torchvision==0.14.1+cu117 --extra-index-url \"https://download.pytorch.org/whl/cu117\"\n",
"!pip install transformers==4.25.1\n",
"!pip install -U diffusers[torch]\n",
"\n",
"!pip install pynvml==11.4.1\n",
"!pip install bitsandbytes==0.35.0\n",
"!pip install ftfy==6.1.1\n",
"!pip install aiohttp==3.8.3\n",
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"\n",
"!pip uninstall -y tb-nightly tensorboard\n",
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"!pip install \"tensorboard>=2.11.0\"\n",
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"\n",
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"!pip install protobuf==3.20.2\n",
"!pip install wandb==0.13.6\n",
"!pip install colorama==0.4.5\n",
"!pip install -U triton\n",
"!pip install --pre -U xformers\n",
" \n",
"print(\"DONE\")"
]
},
{
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"attachments": {
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}
},
2023-02-09 13:18:32 -07:00
"cell_type": "markdown",
"id": "0889cec2-241e-4323-8463-23bd41ece7a3",
"metadata": {},
"source": [
"## RESTART (not reset) your pod now\n",
"The A1111 web ui will no longer load, and we will free up the rest of that VRAM. \n",
"\n",
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"\n",
"\n",
"\n",
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"**_After restarting, reload_** this page and head on over to [EveryDream2trainer/Train_JupyterLab.ipynb](EveryDream2trainer/Train_JupyterLab.ipynb) to start training!"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c8ba508f-7cf4-4f41-9d4d-2cf9975e6774",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.10"
},
"vscode": {
"interpreter": {
"hash": "2e677f113ff5b533036843965d6e18980b635d0aedc1c5cebd058006c5afc92a"
}
}
},
"nbformat": 4,
"nbformat_minor": 5
}
