more doc, textual inversion training, organize files
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parent
53462f33bc
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@ -48,7 +48,13 @@
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"\n",
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"`/notebooks/` is storage for this notebook only.\n",
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"\n",
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"We're going to store models in `/storage/models` and create a symlink.\n",
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"`/tmp/` is not a persistent directory, meaning your files there will be deleted when the machine turns off.\n",
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"\n",
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"<br>\n",
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"\n",
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"If you are having storage issues, set `repo_storage_dir` to `/tmp/stable-diffusion`.\n",
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"\n",
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"<br>\n",
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"\n",
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"<mark>You must uncomment the correct section and run the block below or else the notebook won't work!</mark>"
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]
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@ -62,7 +68,7 @@
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"# Free tier\n",
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"# free_tier = True # Enables the creation of symlinks back to /notebooks/\n",
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"# model_storage_dir = '/tmp/stable-diffusion/models' # Where the models will be downloaded to\n",
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"# repo_storage_dir = '/tmp/stable-diffusion' # Where the repository will be downloaded to\n",
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"# repo_storage_dir = '/notebooks' # Where the repository will be downloaded to\n",
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"\n",
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"# Paid Tier\n",
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"# free_tier = False\n",
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@ -97,7 +103,6 @@
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"source": [
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"import os\n",
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"%store -r free_tier model_storage_dir repo_storage_dir\n",
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"%cd /notebooks/\n",
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"\n",
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"def delete_broken_symlinks(path):\n",
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" # make sure to pass this function a path without a trailing slash\n",
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@ -110,8 +115,12 @@
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"if not os.path.exists(f'{repo_storage_dir}/stable-diffusion-webui'):\n",
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" if free_tier:\n",
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" delete_broken_symlinks('/notebooks/') # remove broken symlinks since it might have been installed in a non-persistent directory\n",
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" if not os.path.exists(repo_storage_dir) and '/notebooks/' not in repo_storage_dir:\n",
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" # symlink repo_storage_dir back to /notebooks/ only if it hasn't been downloaded to /notebooks/\n",
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" !mkdir -p \"{repo_storage_dir}\"\n",
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" !ln -s \"{repo_storage_dir}\" /notebooks/\n",
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" else:\n",
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" print('Not symlinking repo_storage_dir back to /notebooks/')\n",
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" %cd \"{repo_storage_dir}\"\n",
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" !git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui\n",
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"else: # update repo if already exists\n",
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@ -147,9 +156,8 @@
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"# They require a few specific external git repo commits so we have to do it their way. \n",
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"import launch\n",
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"\n",
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"# latent-diffusion is a requirement but launch.py isn't downloading it so we'll do it manually.\n",
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"if not os.path.exists(f'{repo_storage_dir}/stable-diffusion-webui/repositories/latent-diffusion'):\n",
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" !git clone https://github.com/crowsonkb/k-diffusion.git \"{repo_storage_dir}/stable-diffusion-webui/repositories/k-diffusion\"\n",
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"# latent-diffusion is a requirement but launch.py isn't downloading it so we'll do it manually\n",
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"if not os.path.exists(f'{repo_storage_dir}/stable-diffusion-webui/repositories/latent-diffusion'): # check that it hasn't been downloaded in case they fix this issue\n",
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" !git clone https://github.com/Hafiidz/latent-diffusion.git \"{repo_storage_dir}/stable-diffusion-webui/repositories/latent-diffusion\"\n",
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" # I don't think it's necessary to do this:\n",
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" # %mkdir \"{repo_storage_dir}/stable-diffusion-webui/repositories/latent-diffusion/experiments/\"\n",
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@ -466,6 +474,9 @@
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"outputs": [],
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"source": [
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"%store -r free_tier model_storage_dir repo_storage_dir\n",
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"\n",
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"!echo -e \"You are using $(du -sh /notebooks/ | cut -f1) in /notebooks/\\n\"\n",
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"\n",
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"%cd \"{repo_storage_dir}/stable-diffusion-webui\"\n",
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"!python webui.py --share # --gradio-auth me:password1234"
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]
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@ -0,0 +1,173 @@
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "60b8e4a2-4e54-4dae-9220-31fc24fa719f",
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"metadata": {
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"scrolled": true,
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"tags": []
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},
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"outputs": [],
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"source": [
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"%cd /notebooks/\n",
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"# Download and run the Anaconda3 installer\n",
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"import sys\n",
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"!wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh\n",
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"!bash ./Miniconda3-latest-Linux-x86_64.sh -b -f -p /usr/local\n",
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"sys.path.append('/usr/local/lib/python3.7/site-packages/')\n",
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"!rm Miniconda3-latest-Linux-x86_64.sh\n",
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"!conda init bash\n",
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"!mkdir -p /notebooks/textual\\ inversion/\n",
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"!mkdir -p /notebooks/Stable-textual-inversion_win/logs/"
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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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"id": "d5743d8c-f0ba-4f07-971b-b498b0e306f4",
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"metadata": {
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"scrolled": true,
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"tags": []
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},
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"outputs": [],
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"source": [
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"import os.path\n",
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"if not os.path.exists('/notebooks/Stable-textual-inversion_win'):\n",
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" %cd /notebooks/\n",
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" !git clone https://github.com/nicolai256/Stable-textual-inversion_win.git\n",
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" !mkdir -p /notebooks/textual\\ inversion/\n",
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" \n",
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"# Uncomment this to copy the detault config\n",
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" # !cp /notebooks/Stable-textual-inversion_win/configs/stable-diffusion/v1-finetune.yaml /notebooks/textual\\ inversion\n",
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"else: # update repo if already exists\n",
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" print('stable-diffusion-webui already downloaded, updating...')\n",
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" %cd /notebooks/Stable-textual-inversion_win\n",
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" !git pull\n",
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" \n",
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"# Symlink the output dir to /notebooks/\n",
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"!mkdir -p /notebooks/textual\\ inversion/output/\n",
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"!ln -s /notebooks/Stable-textual-inversion_win/logs/ \"/notebooks/textual inversion/\""
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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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"id": "53ee34a7-e5f3-4529-b3b9-2bdac9a45c54",
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"metadata": {
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"scrolled": true,
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"tags": []
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},
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"outputs": [],
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"source": [
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"%cd /notebooks/Stable-textual-inversion_win/\n",
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"!conda env update -n base --file environment.yaml\n",
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"!conda activate ldm\n",
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"!pip install setuptools==59.5.0\n",
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"!pip install pillow==9.0.1\n",
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"!pip install torchmetrics==0.6.0\n",
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"!pip install -e ."
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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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"id": "fa5eda42-c1c6-47b9-80ce-39b777c77bb5",
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"metadata": {
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"scrolled": true,
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"tags": []
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},
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"outputs": [],
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"source": [
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"# Config\n",
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"\n",
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"config_path = '/notebooks/textual inversion/v1-finetune.yaml'\n",
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"\n",
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"# Directory holding the images you want to feed into the AI\n",
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"source_image_directory = '/notebooks/textual inversion/source/'\n",
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"\n",
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"# Word to activate the embedding in the SD WebUI\n",
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"init_word = 'simonstalenhag'\n",
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"\n",
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"project_name = 'simonstalenhag'\n",
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"\n",
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"actual_resume = '/storage/models/trinart2_step115000.ckpt' # trinart2_step115000.ckpt sd-v1-4.ckpt\n",
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"\n",
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"# ============================================================================================================\n",
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"\n",
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"!rm -rf \"{source_image_directory}/.ipynb_checkpoints\"\n",
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"%cd /notebooks/Stable-textual-inversion_win/\n",
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"!python main.py \\\n",
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" --base \"{config_path}\" \\\n",
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" -t --no-test \\\n",
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" --actual_resume \"{actual_resume}\" \\\n",
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" --gpus=1 \\\n",
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" --data_root \"{source_image_directory}\" \\\n",
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" --init_word {init_word} \\\n",
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" -n {project_name} \\"
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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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"id": "be231cb1-a562-48ac-abb7-2cbee730c9a9",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Resuming\n",
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"\n",
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"# Config\n",
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"\n",
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"config_path = '/notebooks/textual inversion/v1-finetune.yaml'\n",
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"\n",
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"# Directory holding the images you want to feed into the AI\n",
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"source_image_directory = '/notebooks/textual inversion/source/'\n",
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"\n",
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"# Word to activate the embedding in the SD WebUI\n",
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"init_word = 'simonstalenhag'\n",
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"\n",
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"project_path = '/notebooks/textual inversion/logs/source2022-10-01T03-52-45_simonstalenhag'\n",
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"\n",
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"actual_resume = '/storage/models/trinart2_step115000.ckpt' # trinart2_step115000.ckpt sd-v1-4.ckpt\n",
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"\n",
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"# ============================================================================================================\n",
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"\n",
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"from datetime import datetime\n",
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"datetime_str = datetime.now().strftime('%m-%d-%Y_%H:%M:%S')\n",
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"\n",
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"!python \"main.py\" \\\n",
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" --base \"{config_path}\" \\\n",
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" -t --no-test \\\n",
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" --actual_resume \"{actual_resume}\" \\\n",
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" --gpus=1 \\\n",
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" --data_root \"{source_image_directory}\" \\\n",
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" --init_word \"{init_word}\" \\\n",
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" --project \"{project_path}\" \\\n",
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" --embedding_manager_ckpt \"{project_path}/checkpoints/embeddings.pt\" \\\n",
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" --resume_from_checkpoint \"{project_path}/checkpoints/last.ckpt\" \\\n",
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" -n \"{init_word}_continue_{datetime_str}\""
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]
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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 (ipykernel)",
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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": "3.9.13"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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model.ckpt filter=lfs diff=lfs merge=lfs -text
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model:
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base_learning_rate: 1.0e-06
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target: ldm.models.diffusion.ddpm.LatentDiffusion
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params:
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linear_start: 0.0015
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linear_end: 0.0155
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log_every_t: 100
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timesteps: 1000
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loss_type: l2
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first_stage_key: image
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cond_stage_key: LR_image
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image_size: 64
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channels: 3
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concat_mode: true
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cond_stage_trainable: false
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unet_config:
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target: ldm.modules.diffusionmodules.openaimodel.UNetModel
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params:
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image_size: 64
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in_channels: 6
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out_channels: 3
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model_channels: 160
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attention_resolutions:
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- 16
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- 8
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num_res_blocks: 2
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channel_mult:
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- 1
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- 2
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- 2
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- 4
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num_head_channels: 32
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first_stage_config:
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target: ldm.models.autoencoder.VQModelInterface
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params:
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embed_dim: 3
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n_embed: 8192
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monitor: val/rec_loss
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ddconfig:
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double_z: false
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z_channels: 3
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resolution: 256
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in_channels: 3
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out_ch: 3
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ch: 128
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ch_mult:
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- 1
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- 2
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- 4
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num_res_blocks: 2
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attn_resolutions: []
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dropout: 0.0
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lossconfig:
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target: torch.nn.Module # todo
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cond_stage_config:
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target: torch.nn.Identity
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data:
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target: cutlit.DataModuleFromConfig
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params:
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batch_size: 64
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wrap: false
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num_workers: 12
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train:
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target: ldm.data.openimages.SuperresOpenImagesAdvancedTrain
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params:
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size: 256
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degradation: bsrgan_light
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downscale_f: 4
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min_crop_f: 0.5
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max_crop_f: 1.0
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random_crop: true
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validation:
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target: ldm.data.openimages.SuperresOpenImagesAdvancedValidation
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params:
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size: 256
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degradation: bsrgan_light
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downscale_f: 4
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min_crop_f: 0.5
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max_crop_f: 1.0
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random_crop: true
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