{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "min(DALL·E)",
"provenance": [],
"authorship_tag": "ABX9TyOA/dulxoA/nPo/1dMvuKPE",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
},
"accelerator": "GPU",
"gpuClass": "standard"
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"![\"Open](\"https://colab.research.google.com/assets/colab-badge.svg\")
"
]
},
{
"cell_type": "markdown",
"source": [
"# min(DALL·E)"
],
"metadata": {
"id": "3WL-G_f2_ld8"
}
},
{
"cell_type": "code",
"source": [
"! pip install torch flax wandb\n",
"! git clone https://github.com/kuprel/min-dalle"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "ix_xt4X1_6F4",
"outputId": "e3b12dcb-89c7-4e55-af3d-cb7431d18c39"
},
"execution_count": 1,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
"Requirement already satisfied: torch in /usr/local/lib/python3.7/dist-packages (1.11.0+cu113)\n",
"Collecting flax\n",
" Downloading flax-0.5.2-py3-none-any.whl (197 kB)\n",
"\u001b[K |████████████████████████████████| 197 kB 7.7 MB/s \n",
"\u001b[?25hCollecting wandb\n",
" Downloading wandb-0.12.19-py2.py3-none-any.whl (1.8 MB)\n",
"\u001b[K |████████████████████████████████| 1.8 MB 57.2 MB/s \n",
"\u001b[?25hRequirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from torch) (4.1.1)\n",
"Collecting rich~=11.1\n",
" Downloading rich-11.2.0-py3-none-any.whl (217 kB)\n",
"\u001b[K |████████████████████████████████| 217 kB 66.0 MB/s \n",
"\u001b[?25hRequirement already satisfied: msgpack in /usr/local/lib/python3.7/dist-packages (from flax) (1.0.4)\n",
"Collecting optax\n",
" Downloading optax-0.1.2-py3-none-any.whl (140 kB)\n",
"\u001b[K |████████████████████████████████| 140 kB 48.1 MB/s \n",
"\u001b[?25hRequirement already satisfied: matplotlib in /usr/local/lib/python3.7/dist-packages (from flax) (3.2.2)\n",
"Requirement already satisfied: jax>=0.3.2 in /usr/local/lib/python3.7/dist-packages (from flax) (0.3.8)\n",
"Collecting PyYAML>=5.4.1\n",
" Downloading PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (596 kB)\n",
"\u001b[K |████████████████████████████████| 596 kB 47.5 MB/s \n",
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"Collecting colorama<0.5.0,>=0.4.0\n",
" Downloading colorama-0.4.5-py2.py3-none-any.whl (16 kB)\n",
"Requirement already satisfied: pygments<3.0.0,>=2.6.0 in /usr/local/lib/python3.7/dist-packages (from rich~=11.1->flax) (2.6.1)\n",
"Collecting commonmark<0.10.0,>=0.9.0\n",
" Downloading commonmark-0.9.1-py2.py3-none-any.whl (51 kB)\n",
"\u001b[K |████████████████████████████████| 51 kB 7.4 MB/s \n",
"\u001b[?25hCollecting pathtools\n",
" Downloading pathtools-0.1.2.tar.gz (11 kB)\n",
"Requirement already satisfied: setuptools in /usr/local/lib/python3.7/dist-packages (from wandb) (57.4.0)\n",
"Collecting sentry-sdk>=1.0.0\n",
" Downloading sentry_sdk-1.6.0-py2.py3-none-any.whl (145 kB)\n",
"\u001b[K |████████████████████████████████| 145 kB 60.3 MB/s \n",
"\u001b[?25hCollecting GitPython>=1.0.0\n",
" Downloading GitPython-3.1.27-py3-none-any.whl (181 kB)\n",
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"Requirement already satisfied: Click!=8.0.0,>=7.0 in /usr/local/lib/python3.7/dist-packages (from wandb) (7.1.2)\n",
"Requirement already satisfied: psutil>=5.0.0 in /usr/local/lib/python3.7/dist-packages (from wandb) (5.4.8)\n",
"Collecting shortuuid>=0.5.0\n",
" Downloading shortuuid-1.0.9-py3-none-any.whl (9.4 kB)\n",
"Requirement already satisfied: six>=1.13.0 in /usr/local/lib/python3.7/dist-packages (from wandb) (1.15.0)\n",
"Collecting docker-pycreds>=0.4.0\n",
" Downloading docker_pycreds-0.4.0-py2.py3-none-any.whl (9.0 kB)\n",
"Collecting setproctitle\n",
" Downloading setproctitle-1.2.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (29 kB)\n",
"Collecting gitdb<5,>=4.0.1\n",
" Downloading gitdb-4.0.9-py3-none-any.whl (63 kB)\n",
"\u001b[K |████████████████████████████████| 63 kB 2.1 MB/s \n",
"\u001b[?25hCollecting smmap<6,>=3.0.1\n",
" Downloading smmap-5.0.0-py3-none-any.whl (24 kB)\n",
"Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests<3,>=2.0.0->wandb) (1.24.3)\n",
"Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests<3,>=2.0.0->wandb) (2.10)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests<3,>=2.0.0->wandb) (2022.6.15)\n",
"Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests<3,>=2.0.0->wandb) (3.0.4)\n",
"Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib->flax) (3.0.9)\n",
"Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib->flax) (1.4.3)\n",
"Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib->flax) (2.8.2)\n",
"Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.7/dist-packages (from matplotlib->flax) (0.11.0)\n",
"Collecting chex>=0.0.4\n",
" Downloading chex-0.1.3-py3-none-any.whl (72 kB)\n",
"\u001b[K |████████████████████████████████| 72 kB 652 kB/s \n",
"\u001b[?25hRequirement already satisfied: jaxlib>=0.1.37 in /usr/local/lib/python3.7/dist-packages (from optax->flax) (0.3.7+cuda11.cudnn805)\n",
"Requirement already satisfied: toolz>=0.9.0 in /usr/local/lib/python3.7/dist-packages (from chex>=0.0.4->optax->flax) (0.11.2)\n",
"Requirement already satisfied: dm-tree>=0.1.5 in /usr/local/lib/python3.7/dist-packages (from chex>=0.0.4->optax->flax) (0.1.7)\n",
"Requirement already satisfied: flatbuffers<3.0,>=1.12 in /usr/local/lib/python3.7/dist-packages (from jaxlib>=0.1.37->optax->flax) (2.0)\n",
"Building wheels for collected packages: pathtools\n",
" Building wheel for pathtools (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for pathtools: filename=pathtools-0.1.2-py3-none-any.whl size=8806 sha256=2febc96495d437d35565155a6e69de17a3d55cbf3f5c420d9e048d873f38dff5\n",
" Stored in directory: /root/.cache/pip/wheels/3e/31/09/fa59cef12cdcfecc627b3d24273699f390e71828921b2cbba2\n",
"Successfully built pathtools\n",
"Installing collected packages: smmap, gitdb, commonmark, colorama, chex, shortuuid, setproctitle, sentry-sdk, rich, PyYAML, pathtools, optax, GitPython, docker-pycreds, wandb, flax\n",
" Attempting uninstall: PyYAML\n",
" Found existing installation: PyYAML 3.13\n",
" Uninstalling PyYAML-3.13:\n",
" Successfully uninstalled PyYAML-3.13\n",
"Successfully installed GitPython-3.1.27 PyYAML-6.0 chex-0.1.3 colorama-0.4.5 commonmark-0.9.1 docker-pycreds-0.4.0 flax-0.5.2 gitdb-4.0.9 optax-0.1.2 pathtools-0.1.2 rich-11.2.0 sentry-sdk-1.6.0 setproctitle-1.2.3 shortuuid-1.0.9 smmap-5.0.0 wandb-0.12.19\n",
"Cloning into 'min-dalle'...\n",
"remote: Enumerating objects: 73, done.\u001b[K\n",
"remote: Counting objects: 100% (73/73), done.\u001b[K\n",
"remote: Compressing objects: 100% (45/45), done.\u001b[K\n",
"remote: Total 73 (delta 34), reused 63 (delta 24), pack-reused 0\u001b[K\n",
"Unpacking objects: 100% (73/73), done.\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"### Login to Weights & Biases to download DALL·E mini model"
],
"metadata": {
"id": "XXlcJR5FAXgQ"
}
},
{
"cell_type": "code",
"source": [
"import wandb\n",
"import os\n",
"\n",
"os.chdir('min-dalle')\n",
"wandb.login()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 119
},
"id": "iSis7y_MAMSb",
"outputId": "a0eb5279-5135-47e8-b954-1fa11a4c9d97"
},
"execution_count": 2,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"application/javascript": [
"\n",
" window._wandbApiKey = new Promise((resolve, reject) => {\n",
" function loadScript(url) {\n",
" return new Promise(function(resolve, reject) {\n",
" let newScript = document.createElement(\"script\");\n",
" newScript.onerror = reject;\n",
" newScript.onload = resolve;\n",
" document.body.appendChild(newScript);\n",
" newScript.src = url;\n",
" });\n",
" }\n",
" loadScript(\"https://cdn.jsdelivr.net/npm/postmate/build/postmate.min.js\").then(() => {\n",
" const iframe = document.createElement('iframe')\n",
" iframe.style.cssText = \"width:0;height:0;border:none\"\n",
" document.body.appendChild(iframe)\n",
" const handshake = new Postmate({\n",
" container: iframe,\n",
" url: 'https://wandb.ai/authorize'\n",
" });\n",
" const timeout = setTimeout(() => reject(\"Couldn't auto authenticate\"), 5000)\n",
" handshake.then(function(child) {\n",
" child.on('authorize', data => {\n",
" clearTimeout(timeout)\n",
" resolve(data)\n",
" });\n",
" });\n",
" })\n",
" });\n",
" "
]
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"\u001b[34m\u001b[1mwandb\u001b[0m: Logging into wandb.ai. (Learn how to deploy a W&B server locally: https://wandb.me/wandb-server)\n",
"\u001b[34m\u001b[1mwandb\u001b[0m: You can find your API key in your browser here: https://wandb.ai/authorize\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"wandb: Paste an API key from your profile and hit enter, or press ctrl+c to quit: ··········\n"
]
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"\u001b[34m\u001b[1mwandb\u001b[0m: Appending key for api.wandb.ai to your netrc file: /root/.netrc\n"
]
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"True"
]
},
"metadata": {},
"execution_count": 2
}
]
},
{
"cell_type": "markdown",
"source": [
"### Download VQGan and DALL·E mini"
],
"metadata": {
"id": "Zl_ZFisFApeh"
}
},
{
"cell_type": "code",
"source": [
"! git lfs install\n",
"! git clone https://huggingface.co/dalle-mini/vqgan_imagenet_f16_16384 ./pretrained/vqgan\n",
"! wandb artifact get --root=./pretrained/dalle_bart_mini dalle-mini/dalle-mini/mini-1:v0"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "H3FlI-r1_t1F",
"outputId": "47685e11-29ed-4810-a8ed-e8a0fc7d9b8d"
},
"execution_count": 3,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Updated git hooks.\n",
"Git LFS initialized.\n",
"Cloning into './pretrained/vqgan'...\n",
"remote: Enumerating objects: 20, done.\u001b[K\n",
"remote: Counting objects: 100% (20/20), done.\u001b[K\n",
"remote: Compressing objects: 100% (19/19), done.\u001b[K\n",
"remote: Total 20 (delta 6), reused 0 (delta 0), pack-reused 0\u001b[K\n",
"Unpacking objects: 100% (20/20), done.\n",
"\u001b[34m\u001b[1mwandb\u001b[0m: Downloading dataset artifact dalle-mini/dalle-mini/mini-1:v0\n",
"\u001b[34m\u001b[1mwandb\u001b[0m: Downloading large artifact mini-1:v0, 1673.43MB. 7 files... Done. 0:0:14.2\n",
"\u001b[34m\u001b[1mwandb\u001b[0m: Artifact downloaded to ./pretrained/dalle_bart_mini\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"### Generate an Image"
],
"metadata": {
"id": "c52TV1GbBNgS"
}
},
{
"cell_type": "code",
"source": [
"from min_dalle.generate_image import generate_image_from_text\n",
"\n",
"image = generate_image_from_text(\"alien life\", seed=7)\n",
"display(image)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 480
},
"id": "nQ0UG05dA4p2",
"outputId": "589b43cd-2204-4adb-e2fc-0f539ef8bdf5"
},
"execution_count": 4,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"parsing metadata from ./pretrained/dalle_bart_mini\n",
"tokenizing text\n",
"['Ġalien']\n",
"['Ġlife']\n",
"text tokens [0, 8925, 742, 2]\n",
"loading flax encoder\n",
"encoding text tokens\n",
"loading flax decoder\n",
"sampling image tokens\n",
"image tokens [6965, 6172, 1052, 14447, 6172, 12062, 15771, 2193, 10710, 4147, 1052, 6172, 2528, 14447, 5772, 8447, 6965, 14447, 14447, 14447, 11665, 6879, 15798, 9479, 910, 15303, 5605, 7542, 1052, 14447, 14447, 2528, 6965, 1052, 14447, 6078, 3386, 2519, 12838, 16017, 867, 8447, 11993, 12426, 11196, 14447, 14447, 2528, 6965, 14447, 14447, 7491, 16147, 13512, 8269, 271, 10397, 15945, 15945, 4903, 12892, 14447, 14447, 2528, 6965, 14447, 14447, 351, 358, 10362, 6001, 8612, 14037, 7864, 14246, 5201, 2810, 14447, 14447, 2528, 6965, 14447, 14447, 10549, 15618, 11792, 13401, 16223, 1464, 12861, 6992, 572, 601, 14447, 14447, 2528, 6965, 14447, 14447, 14447, 13183, 194, 14633, 1994, 10912, 2778, 5495, 12187, 2528, 14447, 14447, 2528, 6965, 14447, 14447, 14447, 2528, 14068, 4054, 5071, 1948, 5286, 7771, 12062, 12016, 14447, 14447, 2528, 6965, 14447, 14447, 14447, 7504, 15433, 7781, 4816, 12062, 663, 3812, 8447, 8173, 14447, 14447, 2528, 6965, 14447, 14447, 6078, 13401, 6790, 2813, 10121, 4301, 4811, 5984, 3851, 8493, 14447, 14447, 2528, 6965, 14447, 14447, 4465, 12509, 4238, 12290, 10543, 8222, 11348, 13909, 5919, 6965, 14447, 14447, 2528, 11591, 14447, 6172, 11665, 9501, 2810, 9570, 7781, 910, 10549, 4395, 10639, 16147, 8173, 14164, 2528, 11591, 14164, 11993, 11610, 15891, 6242, 1936, 14602, 4903, 3583, 11574, 7516, 12892, 8173, 14447, 2528, 11591, 7467, 5243, 13157, 2810, 6790, 16017, 7236, 4301, 11725, 10689, 11941, 12659, 8173, 1052, 2528, 6965, 6598, 4465, 4816, 2895, 11820, 3132, 15917, 1811, 4904, 6933, 6690, 4811, 7504, 2528, 11605, 7467, 4815, 351, 6948, 10228, 7771, 9479, 9213, 11196, 6628, 9897, 12480, 5885, 14247, 5772, 5772]\n",
"detokenizing image\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"image/png": 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\n"
},
"metadata": {}
}
]
}
]
}