more doc, textual inversion training, organize files

Former-commit-id: dab8c993c50040c8e51e7abd5d9e0c635630d726 [formerly 36d5e9661c]
Former-commit-id: e1731a34c87d9dbdad691a1ca46cdfe03cc09ebf

StableDiffusionUI_Voldemort_paperspace.ipynb

@@ -48,7 +48,13 @@
     "\n",
     "`/notebooks/` is storage for this notebook only.\n",
     "\n",
-    "We're going to store models in `/storage/models` and create a symlink.\n",
+    "`/tmp/` is not a persistent directory, meaning your files there will be deleted when the machine turns off.\n",
+    "\n",
+    "<br>\n",
+    "\n",
+    "If you are having storage issues, set `repo_storage_dir` to `/tmp/stable-diffusion`.\n",
+    "\n",
+    "<br>\n",
     "\n",
     "<mark>You must uncomment the correct section and run the block below or else the notebook won't work!</mark>"
    ]
@@ -62,7 +68,7 @@
     "# Free tier\n",
     "# free_tier = True                                     # Enables the creation of symlinks back to /notebooks/\n",
     "# model_storage_dir = '/tmp/stable-diffusion/models'   # Where the models will be downloaded to\n",
-    "# repo_storage_dir = '/tmp/stable-diffusion'           # Where the repository will be downloaded to\n",
+    "# repo_storage_dir = '/notebooks'                      # Where the repository will be downloaded to\n",
     "\n",
     "# Paid Tier\n",
     "# free_tier = False\n",
@@ -97,7 +103,6 @@
    "source": [
     "import os\n",
     "%store -r free_tier model_storage_dir repo_storage_dir\n",
-    "%cd /notebooks/\n",
     "\n",
     "def delete_broken_symlinks(path):\n",
     "    # make sure to pass this function a path without a trailing slash\n",
@@ -110,8 +115,12 @@
     "if not os.path.exists(f'{repo_storage_dir}/stable-diffusion-webui'):\n",
     "    if free_tier:\n",
     "        delete_broken_symlinks('/notebooks/') # remove broken symlinks since it might have been installed in a non-persistent directory\n",
-    "        !mkdir -p \"{repo_storage_dir}\"\n",
-    "        !ln -s \"{repo_storage_dir}\" /notebooks/\n",
+    "        if not os.path.exists(repo_storage_dir) and '/notebooks/' not in repo_storage_dir:\n",
+    "            # symlink repo_storage_dir back to /notebooks/ only if it hasn't been downloaded to /notebooks/\n",
+    "            !mkdir -p \"{repo_storage_dir}\"\n",
+    "            !ln -s \"{repo_storage_dir}\" /notebooks/\n",
+    "        else:\n",
+    "            print('Not symlinking repo_storage_dir back to /notebooks/')\n",
     "    %cd \"{repo_storage_dir}\"\n",
     "    !git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui\n",
     "else: # update repo if already exists\n",
@@ -147,9 +156,8 @@
     "# They require a few specific external git repo commits so we have to do it their way. \n",
     "import launch\n",
     "\n",
-    "# latent-diffusion is a requirement but launch.py isn't downloading it so we'll do it manually.\n",
-    "if not os.path.exists(f'{repo_storage_dir}/stable-diffusion-webui/repositories/latent-diffusion'):\n",
-    "    !git clone https://github.com/crowsonkb/k-diffusion.git \"{repo_storage_dir}/stable-diffusion-webui/repositories/k-diffusion\"\n",
+    "# latent-diffusion is a requirement but launch.py isn't downloading it so we'll do it manually\n",
+    "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",
     "    !git clone https://github.com/Hafiidz/latent-diffusion.git \"{repo_storage_dir}/stable-diffusion-webui/repositories/latent-diffusion\"\n",
     "    # I don't think it's necessary to do this:\n",
     "    # %mkdir \"{repo_storage_dir}/stable-diffusion-webui/repositories/latent-diffusion/experiments/\"\n",
@@ -466,6 +474,9 @@
    "outputs": [],
    "source": [
     "%store -r free_tier model_storage_dir repo_storage_dir\n",
+    "\n",
+    "!echo -e \"You are using $(du -sh /notebooks/ | cut -f1) in /notebooks/\\n\"\n",
+    "\n",
     "%cd \"{repo_storage_dir}/stable-diffusion-webui\"\n",
     "!python webui.py --share # --gradio-auth me:password1234"
    ]

Textual Inversion Training.ipynb

@@ -0,0 +1,173 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "60b8e4a2-4e54-4dae-9220-31fc24fa719f",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "%cd /notebooks/\n",
+    "# Download and run the Anaconda3 installer\n",
+    "import sys\n",
+    "!wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh\n",
+    "!bash ./Miniconda3-latest-Linux-x86_64.sh -b -f -p /usr/local\n",
+    "sys.path.append('/usr/local/lib/python3.7/site-packages/')\n",
+    "!rm Miniconda3-latest-Linux-x86_64.sh\n",
+    "!conda init bash\n",
+    "!mkdir -p /notebooks/textual\\ inversion/\n",
+    "!mkdir -p /notebooks/Stable-textual-inversion_win/logs/"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d5743d8c-f0ba-4f07-971b-b498b0e306f4",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import os.path\n",
+    "if not os.path.exists('/notebooks/Stable-textual-inversion_win'):\n",
+    "    %cd /notebooks/\n",
+    "    !git clone https://github.com/nicolai256/Stable-textual-inversion_win.git\n",
+    "    !mkdir -p /notebooks/textual\\ inversion/\n",
+    "    \n",
+    "#     Uncomment this to copy the detault config\n",
+    "    # !cp /notebooks/Stable-textual-inversion_win/configs/stable-diffusion/v1-finetune.yaml /notebooks/textual\\ inversion\n",
+    "else: # update repo if already exists\n",
+    "    print('stable-diffusion-webui already downloaded, updating...')\n",
+    "    %cd /notebooks/Stable-textual-inversion_win\n",
+    "    !git pull\n",
+    "    \n",
+    "# Symlink the output dir to /notebooks/\n",
+    "!mkdir -p /notebooks/textual\\ inversion/output/\n",
+    "!ln -s /notebooks/Stable-textual-inversion_win/logs/ \"/notebooks/textual inversion/\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "53ee34a7-e5f3-4529-b3b9-2bdac9a45c54",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "%cd /notebooks/Stable-textual-inversion_win/\n",
+    "!conda env update -n base --file environment.yaml\n",
+    "!conda activate ldm\n",
+    "!pip install setuptools==59.5.0\n",
+    "!pip install pillow==9.0.1\n",
+    "!pip install torchmetrics==0.6.0\n",
+    "!pip install -e ."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fa5eda42-c1c6-47b9-80ce-39b777c77bb5",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# Config\n",
+    "\n",
+    "config_path = '/notebooks/textual inversion/v1-finetune.yaml'\n",
+    "\n",
+    "# Directory holding the images you want to feed into the AI\n",
+    "source_image_directory = '/notebooks/textual inversion/source/'\n",
+    "\n",
+    "# Word to activate the embedding in the SD WebUI\n",
+    "init_word = 'simonstalenhag'\n",
+    "\n",
+    "project_name = 'simonstalenhag'\n",
+    "\n",
+    "actual_resume = '/storage/models/trinart2_step115000.ckpt' # trinart2_step115000.ckpt sd-v1-4.ckpt\n",
+    "\n",
+    "# ============================================================================================================\n",
+    "\n",
+    "!rm -rf \"{source_image_directory}/.ipynb_checkpoints\"\n",
+    "%cd /notebooks/Stable-textual-inversion_win/\n",
+    "!python main.py \\\n",
+    " --base \"{config_path}\" \\\n",
+    " -t --no-test \\\n",
+    " --actual_resume \"{actual_resume}\" \\\n",
+    " --gpus=1  \\\n",
+    " --data_root \"{source_image_directory}\" \\\n",
+    " --init_word {init_word} \\\n",
+    " -n {project_name} \\"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "be231cb1-a562-48ac-abb7-2cbee730c9a9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Resuming\n",
+    "\n",
+    "# Config\n",
+    "\n",
+    "config_path = '/notebooks/textual inversion/v1-finetune.yaml'\n",
+    "\n",
+    "# Directory holding the images you want to feed into the AI\n",
+    "source_image_directory = '/notebooks/textual inversion/source/'\n",
+    "\n",
+    "# Word to activate the embedding in the SD WebUI\n",
+    "init_word = 'simonstalenhag'\n",
+    "\n",
+    "project_path = '/notebooks/textual inversion/logs/source2022-10-01T03-52-45_simonstalenhag'\n",
+    "\n",
+    "actual_resume = '/storage/models/trinart2_step115000.ckpt' # trinart2_step115000.ckpt sd-v1-4.ckpt\n",
+    "\n",
+    "# ============================================================================================================\n",
+    "\n",
+    "from datetime import datetime\n",
+    "datetime_str = datetime.now().strftime('%m-%d-%Y_%H:%M:%S')\n",
+    "\n",
+    "!python \"main.py\" \\\n",
+    " --base \"{config_path}\" \\\n",
+    " -t --no-test \\\n",
+    " --actual_resume \"{actual_resume}\" \\\n",
+    " --gpus=1 \\\n",
+    " --data_root \"{source_image_directory}\" \\\n",
+    " --init_word \"{init_word}\" \\\n",
+    " --project \"{project_path}\" \\\n",
+    " --embedding_manager_ckpt \"{project_path}/checkpoints/embeddings.pt\" \\\n",
+    " --resume_from_checkpoint \"{project_path}/checkpoints/last.ckpt\" \\\n",
+    " -n \"{init_word}_continue_{datetime_str}\""
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.9.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

lfs/latent-diffusion/.gitattributes

@@ -0,0 +1 @@
+model.ckpt filter=lfs diff=lfs merge=lfs -text

lfs/latent-diffusion/project.yaml

@@ -0,0 +1,80 @@
+model:
+  base_learning_rate: 1.0e-06
+  target: ldm.models.diffusion.ddpm.LatentDiffusion
+  params:
+    linear_start: 0.0015
+    linear_end: 0.0155
+    log_every_t: 100
+    timesteps: 1000
+    loss_type: l2
+    first_stage_key: image
+    cond_stage_key: LR_image
+    image_size: 64
+    channels: 3
+    concat_mode: true
+    cond_stage_trainable: false
+    unet_config:
+      target: ldm.modules.diffusionmodules.openaimodel.UNetModel
+      params:
+        image_size: 64
+        in_channels: 6
+        out_channels: 3
+        model_channels: 160
+        attention_resolutions:
+        - 16
+        - 8
+        num_res_blocks: 2
+        channel_mult:
+        - 1
+        - 2
+        - 2
+        - 4
+        num_head_channels: 32
+    first_stage_config:
+      target: ldm.models.autoencoder.VQModelInterface
+      params:
+        embed_dim: 3
+        n_embed: 8192
+        monitor: val/rec_loss
+        ddconfig:
+          double_z: false
+          z_channels: 3
+          resolution: 256
+          in_channels: 3
+          out_ch: 3
+          ch: 128
+          ch_mult:
+          - 1
+          - 2
+          - 4
+          num_res_blocks: 2
+          attn_resolutions: []
+          dropout: 0.0
+        lossconfig:
+          target: torch.nn.Module # todo 
+    cond_stage_config:
+      target: torch.nn.Identity
+data:
+  target: cutlit.DataModuleFromConfig
+  params:
+    batch_size: 64
+    wrap: false
+    num_workers: 12
+    train:
+      target: ldm.data.openimages.SuperresOpenImagesAdvancedTrain
+      params:
+        size: 256
+        degradation: bsrgan_light
+        downscale_f: 4
+        min_crop_f: 0.5
+        max_crop_f: 1.0
+        random_crop: true
+    validation:
+      target: ldm.data.openimages.SuperresOpenImagesAdvancedValidation
+      params:
+        size: 256
+        degradation: bsrgan_light
+        downscale_f: 4
+        min_crop_f: 0.5
+        max_crop_f: 1.0
+        random_crop: true