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{
"cells": [
{
"cell_type": "markdown",
"id": "c423d2a1-475e-482e-b759-f16456fd6707",
"metadata": {},
"source": [
"# Install"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "0440d6a7-78b9-49e9-98a2-9a5ed75e1a2f",
"metadata": {},
"outputs": [],
"source": [
"!git clone https://github.com/kopyl/PixArt-alpha.git"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "0abadf51-a7e3-4091-bb02-0bdd8d28fb73",
"metadata": {},
"outputs": [],
"source": [
"%cd PixArt-alpha"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "4df1af24-f439-485d-a946-966dbf16c49b",
"metadata": {
"scrolled": true
},
"outputs": [],
"source": [
"!pip install torch==2.0.0+cu117 torchvision==0.15.1+cu117 torchaudio==2.0.1 --index-url https://download.pytorch.org/whl/cu117\n",
"!pip install -r requirements.txt\n",
"!pip install wandb"
]
},
{
"cell_type": "markdown",
"id": "d44474fd-0b92-48fc-b4cf-142b59d3917c",
"metadata": {},
"source": [
"## Download model"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "06b1c1c9-f8b1-4719-8564-2383eac9ff28",
"metadata": {},
"outputs": [],
"source": [
"!python tools/download.py --model_names \"PixArt-XL-2-512x512.pth\""
]
},
{
"cell_type": "markdown",
"id": "f298a89c-d2a5-4da7-8304-c1390da0ba58",
"metadata": {},
"source": [
"## Make dataset out of Hugginggface dataset"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e17b8883-0a5c-4fa3-a7d0-e8ee95e42027",
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"from tqdm.notebook import tqdm\n",
"from datasets import load_dataset\n",
"import json"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "92957b2c-6765-48ee-9296-d6739066d74d",
"metadata": {},
"outputs": [],
"source": [
"dataset = load_dataset(\"lambdalabs/pokemon-blip-captions\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "0095cdda-c31a-48ee-a115-076a5fc393c3",
"metadata": {},
"outputs": [],
"source": [
"root_dir = \"/workspace/pixart-pokemon\"\n",
"images_dir = \"images\"\n",
"captions_dir = \"captions\"\n",
"\n",
"images_dir_absolute = os.path.join(root_dir, images_dir)\n",
"captions_dir_absolute = os.path.join(root_dir, captions_dir)\n",
"\n",
"if not os.path.exists(root_dir):\n",
" os.makedirs(os.path.join(root_dir, images_dir))\n",
"\n",
"if not os.path.exists(os.path.join(root_dir, images_dir)):\n",
" os.makedirs(os.path.join(root_dir, images_dir))\n",
"if not os.path.exists(os.path.join(root_dir, captions_dir)):\n",
" os.makedirs(os.path.join(root_dir, captions_dir))\n",
"\n",
"image_format = \"png\"\n",
"json_name = \"partition/data_info.json\"\n",
"if not os.path.exists(os.path.join(root_dir, \"partition\")):\n",
" os.makedirs(os.path.join(root_dir, \"partition\"))\n",
"\n",
"absolute_json_name = os.path.join(root_dir, json_name)\n",
"data_info = []\n",
"\n",
"order = 0\n",
"for item in tqdm(dataset[\"train\"]): \n",
" image = item[\"image\"]\n",
" image.save(f\"{images_dir_absolute}/{order}.{image_format}\")\n",
" with open(f\"{captions_dir_absolute}/{order}.txt\", \"w\") as text_file:\n",
" text_file.write(item[\"text\"])\n",
" \n",
" width, height = 512, 512\n",
" ratio = 1\n",
" data_info.append({\n",
" \"height\": height,\n",
" \"width\": width,\n",
" \"ratio\": ratio,\n",
" \"path\": f\"images/{order}.{image_format}\",\n",
" \"prompt\": item[\"text\"],\n",
" })\n",
" \n",
" order += 1\n",
"\n",
"with open(absolute_json_name, \"w\") as json_file:\n",
" json.dump(data_info, json_file)"
]
},
{
"cell_type": "markdown",
"id": "25be1c03",
"metadata": {},
"source": [
"## Extract features"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9f07a4f5-1873-48bf-86d0-9304942de5d3",
"metadata": {},
"outputs": [],
"source": [
"!python /workspace/PixArt-alpha/tools/extract_features.py \\\n",
" --img_size 512 \\\n",
" --json_path \"/workspace/pixart-pokemon/partition/data_info.json\" \\\n",
" --t5_save_root \"/workspace/pixart-pokemon/caption_feature_wmask\" \\\n",
" --vae_save_root \"/workspace/pixart-pokemon/img_vae_features\" \\\n",
" --pretrained_models_dir \"/workspace/PixArt-alpha/output/pretrained_models\" \\\n",
" --dataset_root \"/workspace/pixart-pokemon\""
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9fc653d0",
"metadata": {},
"outputs": [],
"source": [
"!wandb login REPLACE_THIS_WITH_YOUR_AUTH_TOKEN_OF_WANDB"
]
},
{
"cell_type": "markdown",
"id": "2cf1fd1a",
"metadata": {},
"source": [
"## Train model"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ea0e9dab-17bc-45ed-9c81-b670bbb8de47",
"metadata": {},
"outputs": [],
"source": [
"!python -m torch.distributed.launch \\\n",
" train_scripts/train.py \\\n",
" /workspace/PixArt-alpha/notebooks/PixArt_xl2_img512_internal_for_pokemon_sample_training.py \\\n",
" --work-dir output/trained_model \\\n",
" --report_to=\"wandb\" \\\n",
" --loss_report_name=\"train_loss\""
]
}
],
"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": "3.8.13"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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