TOIL(pip): Refactor pip requirements across the board (#531)

* Refactor pip requirements across the board

Signed-off-by: Ben Alkov <ben.alkov@gmail.com>

* fix name, version in setup.py

Signed-off-by: Ben Alkov <ben.alkov@gmail.com>

* Update notebooks for new requirements file changes

Signed-off-by: Ben Alkov <ben.alkov@gmail.com>
This commit is contained in:
tildebyte
2022-09-14 07:01:58 -04:00
committed by GitHub
parent ecb84ecc10
commit d15c75ecae
11 changed files with 191 additions and 314 deletions

View File

@@ -1,27 +1,12 @@
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": [],
"collapsed_sections": [],
"private_outputs": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
},
"accelerator": "GPU",
"gpuClass": "standard"
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "ycYWcsEKc6w7"
},
"source": [
"# Stable Diffusion AI Notebook (Release 1.13)\n",
"# Stable Diffusion AI Notebook (Release 1.14)\n",
"\n",
"<img src=\"https://user-images.githubusercontent.com/60411196/186547976-d9de378a-9de8-4201-9c25-c057a9c59bad.jpeg\" alt=\"stable-diffusion-ai\" width=\"170px\"/> <br>\n",
"#### Instructions:\n",
@@ -35,33 +20,30 @@
"<font color=\"red\">Requirements:</font> For this notebook to work you need to have [Stable-Diffusion-v-1-4](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original) stored in your Google Drive, it will be needed in cell #7\n",
"##### For more details visit Github repository: [lstein/stable-diffusion](https://github.com/lstein/stable-diffusion)\n",
"---\n"
],
"metadata": {
"id": "ycYWcsEKc6w7"
}
]
},
{
"cell_type": "markdown",
"source": [
"## ◢ Installation"
],
"metadata": {
"id": "dr32VLxlnouf"
}
},
"source": [
"## ◢ Installation"
]
},
{
"cell_type": "code",
"source": [
"#@title 1. Check current GPU assigned\n",
"!nvidia-smi -L\n",
"!nvidia-smi"
],
"execution_count": null,
"metadata": {
"cellView": "form",
"id": "a2Z5Qu_o8VtQ"
},
"execution_count": null,
"outputs": []
"outputs": [],
"source": [
"#@title 1. Check current GPU assigned\n",
"!nvidia-smi -L\n",
"!nvidia-smi"
]
},
{
"cell_type": "code",
@@ -75,90 +57,91 @@
"#@title 2. Download stable-diffusion Repository\n",
"from os.path import exists\n",
"\n",
"if exists(\"/content/stable-diffusion/\")==True:\n",
" %cd /content/stable-diffusion/\n",
" print(\"Already downloaded repo\")\n",
"else:\n",
" !git clone --quiet https://github.com/lstein/stable-diffusion.git # Original repo\n",
" %cd /content/stable-diffusion/\n",
" !git checkout --quiet tags/release-1.13"
"!git clone --quiet https://github.com/lstein/stable-diffusion.git # Original repo\n",
"%cd /content/stable-diffusion/\n",
"!git checkout --quiet tags/release-1.14.1"
]
},
{
"cell_type": "code",
"source": [
"#@title 3. Install dependencies\n",
"import gc\n",
"\n",
"if exists(\"/content/stable-diffusion/requirements-colab.txt\")==True:\n",
" %cd /content/stable-diffusion/\n",
" print(\"Already downloaded requirements file\")\n",
"else:\n",
" !wget https://raw.githubusercontent.com/lstein/stable-diffusion/development/requirements-colab.txt\n",
"!pip install colab-xterm\n",
"!pip install -r requirements-colab.txt\n",
"gc.collect()"
],
"execution_count": null,
"metadata": {
"cellView": "form",
"id": "QbXcGXYEFSNB"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"outputs": [],
"source": [
"#@title 4. Load small ML models required\n",
"%cd /content/stable-diffusion/\n",
"!python scripts/preload_models.py\n",
"#@title 3. Install dependencies\n",
"import gc\n",
"\n",
"!wget https://raw.githubusercontent.com/lstein/stable-diffusion/development/requirements.txt\n",
"!wget https://raw.githubusercontent.com/lstein/stable-diffusion/development/requirements-lin-win-colab-CUDA.txt\n",
"!pip install colab-xterm\n",
"!pip install -r requirements-lin-win-colab-CUDA.txt\n",
"!pip install clean-fid torchtext\n",
"gc.collect()"
],
"metadata": {
"cellView": "form",
"id": "ChIDWxLVHGGJ"
},
"execution_count": null,
"outputs": []
]
},
{
"cell_type": "code",
"source": [
"#@title 5. Restart Runtime\n",
"exit()"
],
"execution_count": null,
"metadata": {
"cellView": "form",
"id": "8rSMhgnAttQa"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"outputs": [],
"source": [
"## ◢ Configuration"
],
"metadata": {
"id": "795x1tMoo8b1"
}
"#@title 4. Restart Runtime\n",
"exit()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"cellView": "form",
"id": "ChIDWxLVHGGJ"
},
"outputs": [],
"source": [
"#@title 6. Mount google Drive\n",
"from google.colab import drive\n",
"drive.mount('/content/drive')"
],
"#@title 5. Load small ML models required\n",
"import gc\n",
"%cd /content/stable-diffusion/\n",
"!python scripts/preload_models.py\n",
"gc.collect()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "795x1tMoo8b1"
},
"source": [
"## ◢ Configuration"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"cellView": "form",
"id": "YEWPV-sF1RDM"
},
"execution_count": null,
"outputs": []
"outputs": [],
"source": [
"#@title 6. Mount google Drive\n",
"from google.colab import drive\n",
"drive.mount('/content/drive')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"cellView": "form",
"id": "zRTJeZ461WGu"
},
"outputs": [],
"source": [
"#@title 7. Drive Path to model\n",
"#@markdown Path should start with /content/drive/path-to-your-file <br>\n",
@@ -167,20 +150,20 @@
"from os.path import exists\n",
"\n",
"model_path = \"\" #@param {type:\"string\"}\n",
"if exists(model_path)==True:\n",
" print(\"✅ Valid directory\")\n",
"if exists(model_path):\n",
" print(\"✅ Valid directory\")\n",
"else: \n",
" print(\"❌ File doesn't exist\")"
],
"metadata": {
"cellView": "form",
"id": "zRTJeZ461WGu"
},
"execution_count": null,
"outputs": []
" print(\"❌ File doesn't exist\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"cellView": "form",
"id": "UY-NNz4I8_aG"
},
"outputs": [],
"source": [
"#@title 8. Symlink to model\n",
"\n",
@@ -188,39 +171,39 @@
"import os \n",
"\n",
"# Folder creation if it doesn't exist\n",
"if exists(\"/content/stable-diffusion/models/ldm/stable-diffusion-v1\")==True:\n",
" print(\"❗ Dir stable-diffusion-v1 already exists\")\n",
"if exists(\"/content/stable-diffusion/models/ldm/stable-diffusion-v1\"):\n",
" print(\"❗ Dir stable-diffusion-v1 already exists\")\n",
"else:\n",
" %mkdir /content/stable-diffusion/models/ldm/stable-diffusion-v1\n",
" print(\"✅ Dir stable-diffusion-v1 created\")\n",
" %mkdir /content/stable-diffusion/models/ldm/stable-diffusion-v1\n",
" print(\"✅ Dir stable-diffusion-v1 created\")\n",
"\n",
"# Symbolic link if it doesn't exist\n",
"if exists(\"/content/stable-diffusion/models/ldm/stable-diffusion-v1/model.ckpt\")==True:\n",
" print(\"❗ Symlink already created\")\n",
"if exists(\"/content/stable-diffusion/models/ldm/stable-diffusion-v1/model.ckpt\"):\n",
" print(\"❗ Symlink already created\")\n",
"else: \n",
" src = model_path\n",
" dst = '/content/stable-diffusion/models/ldm/stable-diffusion-v1/model.ckpt'\n",
" os.symlink(src, dst) \n",
" print(\"✅ Symbolic link created successfully\")"
],
"metadata": {
"id": "UY-NNz4I8_aG",
"cellView": "form"
},
"execution_count": null,
"outputs": []
" src = model_path\n",
" dst = '/content/stable-diffusion/models/ldm/stable-diffusion-v1/model.ckpt'\n",
" os.symlink(src, dst) \n",
" print(\"✅ Symbolic link created successfully\")"
]
},
{
"cell_type": "markdown",
"source": [
"## ◢ Execution"
],
"metadata": {
"id": "Mc28N0_NrCQH"
}
},
"source": [
"## ◢ Execution"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"cellView": "form",
"id": "ir4hCrMIuUpl"
},
"outputs": [],
"source": [
"#@title 9. Run Terminal and Execute Dream bot\n",
"#@markdown <font color=\"blue\">Steps:</font> <br>\n",
@@ -229,24 +212,21 @@
"#@markdown 3. Example text: `Astronaut floating in a distant galaxy` <br>\n",
"#@markdown 4. To quit Dream bot use: `q` command.<br>\n",
"\n",
"import gc\n",
"%cd /content/stable-diffusion/\n",
"%load_ext colabxterm\n",
"%xterm\n",
"gc.collect()"
],
"metadata": {
"id": "ir4hCrMIuUpl",
"cellView": "form"
},
"execution_count": null,
"outputs": []
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"cellView": "form",
"id": "qnLohSHmKoGk"
},
"outputs": [],
"source": [
"#@title 10. Show the last 15 generated images\n",
"import gc\n",
"import glob\n",
"import matplotlib.pyplot as plt\n",
"import matplotlib.image as mpimg\n",
@@ -269,13 +249,25 @@
" plt.imshow(image)\n",
" gc.collect()\n",
"\n"
],
"metadata": {
"cellView": "form",
"id": "qnLohSHmKoGk"
},
"execution_count": null,
"outputs": []
]
}
]
],
"metadata": {
"accelerator": "GPU",
"colab": {
"collapsed_sections": [],
"private_outputs": true,
"provenance": []
},
"gpuClass": "standard",
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 0
}