Merge with main

README.md

@@ -20,7 +20,7 @@
 ### **INTRODUCTIONS!**
 Hi! My name is Joe Penna.
 
-You might have seen a few YouTube of mine under *MysteryGuitarMan*. I'm now a feature filmmaker. You might have seen [ARCTIC](https://www.youtube.com/watch?v=N5aD9ppoQIo&t=6s) or [STOWAWAY](https://www.youtube.com/watch?v=A_apvQkWsVY).
+You might have seen a few YouTube videos of mine under *MysteryGuitarMan*. I'm now a feature film director. You might have seen [ARCTIC](https://www.youtube.com/watch?v=N5aD9ppoQIo&t=6s) or [STOWAWAY](https://www.youtube.com/watch?v=A_apvQkWsVY).
 
 For my movies, I need to be able to train specific actors, props, locations, etc. So, I did a bunch of changes to @XavierXiao's repo in order to train people's faces.
 

dreambooth_runpod_joepenna.ipynb

@@ -9,9 +9,17 @@
    "source": [
     "# Dreambooth\n",
     "### Notebook implementation by Joe Penna (@MysteryGuitarM on Twitter) - Improvements by David Bielejeski\n",
-    "https://github.com/JoePenna/Dreambooth-Stable-Diffusion\n",
     "\n",
-    "### If on runpod / vast.ai / etc, spin up an A6000 or A100 pod using a Stable Diffusion template with Jupyter pre-installed."
+    "### Instructions\n",
+    "- Sign up for RunPod here: https://runpod.io/?ref=n8yfwyum\n",
+    "    - Note: That's my personal referral link. Please don't use it if we are mortal enemies.\n",
+    "\n",
+    "- Click *Deploy* on either `SECURE CLOUD` or `COMMUNITY CLOUD`\n",
+    "\n",
+    "- Follow the rest of the instructions in this video: https://www.youtube.com/watch?v=7m__xadX0z0#t=5m33.1s\n",
+    "\n",
+    "Latest information on:\n",
+    "https://github.com/JoePenna/Dreambooth-Stable-Diffusion"
    ]
   },
   {
@@ -87,6 +95,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [],
    "source": [
     "## Download the 1.4 sd model\n",
@@ -96,23 +107,20 @@
     " filename=\"sd-v1-4.ckpt\",\n",
     " use_auth_token=True\n",
     ")"
-   ],
+   ]
-   "metadata": {
-    "collapsed": false
-   }
   },
   {
    "cell_type": "code",
    "execution_count": null,
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [],
    "source": [
     "## Move the sd-v1-4.ckpt to the root of this directory as \"model.ckpt\"\n",
     "actual_locations_of_model_blob = !readlink -f {downloaded_model_path}\n",
     "!mv {actual_locations_of_model_blob[-1]} model.ckpt"
-   ],
+   ]
-   "metadata": {
-    "collapsed": false
-   }
   },
   {
    "cell_type": "markdown",
@@ -147,12 +155,12 @@
    },
    "outputs": [],
    "source": [
-    "# GENERATE 400 images\n",
+    "# GENERATE 200 images\n",
     "!python scripts/stable_txt2img.py \\\n",
     " --seed 10 \\\n",
     " --ddim_eta 0.0 \\\n",
     " --n_samples 1 \\\n",
-    " --n_iter 400 \\\n",
+    " --n_iter 200 \\\n",
     " --scale 10.0 \\\n",
     " --ddim_steps 50 \\\n",
     " --ckpt model.ckpt \\\n",
@@ -233,31 +241,39 @@
     "\n",
     "*   2-3 full body\n",
     "*   3-5 upper body \n",
-    "*   5-12 close-up on face"
+    "*   5-12 close-up on face\n",
+    "\n",
+    "The images should be:\n",
+    "\n",
+    "- as close as possible to the kind of images you're trying to make (most of the time, that means no selfies).\n",
+    "- "
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [],
    "source": [
-    "#@markdown Add here the URLs to the images of the concept you are adding\n",
+    "#@markdown Add here the URLs to the images of the subject you are adding\n",
     "urls = [\n",
     " \"https://i.imgur.com/test1.png\",\n",
     " \"https://i.imgur.com/test2.png\",\n",
     " \"https://i.imgur.com/test3.png\",\n",
     " \"https://i.imgur.com/test4.png\",\n",
     " \"https://i.imgur.com/test5.png\",\n",
-    " ## You can add additional images here\n",
+    " # You can add additional images here -- about 20-30 images in different \n",
     "]"
-   ],
+   ]
-   "metadata": {
-    "collapsed": false
-   }
   },
   {
    "cell_type": "code",
    "execution_count": null,
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [],
    "source": [
     "#@title Download and check the images you have just added\n",
@@ -291,10 +307,7 @@
     " os.mkdir(save_path)\n",
     "[image.save(f\"{save_path}/{i}.png\", format=\"png\") for i, image in enumerate(images)]\n",
     "image_grid(images, 1, len(images))"
-   ],
+   ]
-   "metadata": {
-    "collapsed": false
-   }
   },
   {
    "cell_type": "markdown",
@@ -312,6 +325,9 @@
   },
   {
    "cell_type": "markdown",
+   "metadata": {
+    "collapsed": false
+   },
    "source": [
     "## Edit the personalized.py file\n",
     "Execute this cell `%load ldm/data/personalized.py`\n",
@@ -324,28 +340,28 @@
     "]\n",
     "```\n",
     "\n",
-    "Then paste this at the very top of the cell\n",
+    "I recommend using the name of a celebrity that:\n",
+    "1) kinda looks like you.\n",
+    "2) Stable Diffusion generates well (you can check by typing their name on DreamStudio)\n",
     "\n",
+    "Then paste this at the very top of the cell:\n",
     "```\n",
     "%%writefile ldm/data/personalized.py\n",
     "```\n",
     "\n",
     "Then run the cell again.  This will save your changes.\n"
-   ],
+   ]
-   "metadata": {
-    "collapsed": false
-   }
   },
   {
    "cell_type": "code",
    "execution_count": null,
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [],
    "source": [
     "%load ldm/data/personalized.py"
-   ],
+   ]
-   "metadata": {
-    "collapsed": false
-   }
   },
   {
    "cell_type": "code",
@@ -359,8 +375,13 @@
    "source": [
     "# START THE TRAINING\n",
     "project_name = \"project_name\"\n",
+    "\n",
+    "# oops, this next variable should be called \"max_steps\".\n",
+    "# It's how long you want your training to go.\n",
+    "# If you're seeing this message, I'm literally at my computer right now fixing this up:\n",
     "batch_size = 1000\n",
-    "class_word = \"woman\"  # << match this word to the class word from regularization images above\n",
+    "\n",
+    "class_word = \"person\"  # << match this word to the class word from regularization images above\n",
     "reg_data_root = \"/workspace/Dreambooth-Stable-Diffusion/outputs/txt2img-samples/samples/\" + dataset\n",
     "\n",
     "!rm -rf training_samples/.ipynb_checkpoints\n",
@@ -388,30 +409,33 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [],
    "source": [
     "directory_paths = !ls -d logs/*"
-   ],
+   ]
-   "metadata": {
-    "collapsed": false
-   }
   },
   {
    "cell_type": "code",
    "execution_count": null,
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [],
    "source": [
     "# This version should automatically prune around 10GB from the ckpt file\n",
     "last_checkpoint_file = directory_paths[-1] + \"/checkpoints/last.ckpt\"\n",
     "!python \"prune_ckpt.py\" --ckpt {last_checkpoint_file}"
-   ],
+   ]
-   "metadata": {
-    "collapsed": false
-   }
   },
   {
    "cell_type": "code",
    "execution_count": null,
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [],
    "source": [
     "last_checkpoint_file_pruned = directory_paths[-1] + \"/checkpoints/last-pruned.ckpt\"\n",
@@ -420,10 +444,7 @@
     "file_name = date_string[-1] + \"_\" + project_name + \"_\" + str(len(training_samples)) + \"_training_images_\" +  str(batch_size) + \"_batch_size_\" + class_word + \"_class_word.ckpt\"\n",
     "!mkdir -p trained_models\n",
     "!mv {last_checkpoint_file_pruned} trained_models/{file_name}"
-   ],
+   ]
-   "metadata": {
-    "collapsed": false
-   }
   },
   {
    "cell_type": "code",
@@ -434,6 +455,16 @@
     "# Download your trained model file from `trained_models` and use in your favorite Stable Diffusion repo!"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "9a90ac5c",
+   "metadata": {},
+   "source": [
+    "# Big Important Note!\n",
+    "\n",
+    "The way to call your token"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "d28d0139",