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

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* 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>
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11 changed files with 191 additions and 314 deletions
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68
notebooks/Stable-Diffusion-local-Windows.ipynb
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@ -40,57 +40,9 @@
"outputs": [], "outputs": [],
"source": [ "source": [
"%%cmd\n", "%%cmd\n",
"git clone https://github.com/lstein/stable-diffusion.git" "git clone https://github.com/lstein/stable-diffusion.git\n",
] "cd /content/stable-diffusion/\n",
}, "git checkout --quiet development"
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"%cd stable-diffusion"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"%%writefile requirements.txt\n",
"albumentations==0.4.3\n",
"einops==0.3.0\n",
"huggingface-hub==0.8.1\n",
"imageio-ffmpeg==0.4.2\n",
"imageio==2.9.0\n",
"kornia==0.6.0\n",
"# pip will resolve the version which matches torch\n",
"numpy\n",
"omegaconf==2.1.1\n",
"opencv-python==4.6.0.66\n",
"pillow==9.2.0\n",
"pip>=22\n",
"pudb==2019.2\n",
"pytorch-lightning==1.4.2\n",
"streamlit==1.12.0\n",
"# \"CompVis/taming-transformers\" doesn't work\n",
"# ldm\\models\\autoencoder.py\", line 6, in <module>\n",
"# from taming.modules.vqvae.quantize import VectorQuantizer2 as VectorQuantizer\n",
"# ModuleNotFoundError\n",
"taming-transformers-rom1504==0.0.6\n",
"test-tube>=0.7.5\n",
"torch-fidelity==0.3.0\n",
"torchmetrics==0.6.0\n",
"transformers==4.19.2\n",
"git+https://github.com/openai/CLIP.git@main#egg=clip\n",
"git+https://github.com/lstein/k-diffusion.git@master#egg=k-diffusion\n",
"# No CUDA in PyPi builds\n",
"--extra-index-url https://download.pytorch.org/whl/cu113 --trusted-host https://download.pytorch.org\n",
"torch==1.11.0\n",
"# Same as numpy - let pip do its thing\n",
"torchvision\n",
"-e .\n"
] ]
}, },
{ {
@ -100,14 +52,14 @@
"outputs": [], "outputs": [],
"source": [ "source": [
"%%cmd\n", "%%cmd\n",
"pew new --python 3.10 -r requirements.txt --dont-activate ldm" "pew new --python 3.10 -r requirements-lin-win-colab-CUDA.txt --dont-activate stable-diffusion"
] ]
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
"source": [ "source": [
"# Switch the notebook kernel to the new 'ldm' environment!\n", "# Switch the notebook kernel to the new 'stable-diffusion' environment!\n",
"\n", "\n",
"## VSCode: restart VSCode and come back to this cell\n", "## VSCode: restart VSCode and come back to this cell\n",
"\n", "\n",
@ -115,7 +67,7 @@
"1. Type \"Select Interpreter\" and select \"Jupyter: Select Interpreter to Start Jupyter Server\"\n", "1. Type \"Select Interpreter\" and select \"Jupyter: Select Interpreter to Start Jupyter Server\"\n",
"1. VSCode will say that it needs to install packages. Click the \"Install\" button.\n", "1. VSCode will say that it needs to install packages. Click the \"Install\" button.\n",
"1. Once the install is finished, do 1 & 2 again\n", "1. Once the install is finished, do 1 & 2 again\n",
"1. Pick 'ldm'\n", "1. Pick 'stable-diffusion'\n",
"1. Run the following cell" "1. Run the following cell"
] ]
}, },
@ -136,7 +88,7 @@
"## Jupyter/JupyterLab\n", "## Jupyter/JupyterLab\n",
"\n", "\n",
"1. Run the cell below\n", "1. Run the cell below\n",
"1. Click on the toolbar where it says \"(ipyknel)\" ↗️. You should get a pop-up asking you to \"Select Kernel\". Pick 'ldm' from the drop-down.\n" "1. Click on the toolbar where it says \"(ipyknel)\" ↗️. You should get a pop-up asking you to \"Select Kernel\". Pick 'stable-diffusion' from the drop-down.\n"
] ]
}, },
{ {
@ -154,9 +106,9 @@
"source": [ "source": [
"# DO NOT RUN THIS CELL IF YOU ARE USING VSCODE!!\n", "# DO NOT RUN THIS CELL IF YOU ARE USING VSCODE!!\n",
"%%cmd\n", "%%cmd\n",
"pew workon ldm\n", "pew workon stable-diffusion\n",
"pip3 install ipykernel\n", "pip3 install ipykernel\n",
"python -m ipykernel install --name=ldm" "python -m ipykernel install --name=stable-diffusion"
] ]
}, },
{ {
@ -231,7 +183,7 @@
"Now:\n", "Now:\n",
"\n", "\n",
"1. `cd` to wherever the 'stable-diffusion' directory is\n", "1. `cd` to wherever the 'stable-diffusion' directory is\n",
"1. Run `pew workon ldm`\n", "1. Run `pew workon stable-diffusion`\n",
"1. Run `winpty python scripts\\dream.py`" "1. Run `winpty python scripts\\dream.py`"
] ]
} }

242
notebooks/Stable_Diffusion_AI_Notebook.ipynb
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@ -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": [ "cells": [
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {
"id": "ycYWcsEKc6w7"
},
"source": [ "source": [
"# Stable Diffusion AI Notebook (Release 1.13)\n", "# Stable Diffusion AI Notebook (Release 1.14)\n",
"\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", "<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", "#### 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", "<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", "##### For more details visit Github repository: [lstein/stable-diffusion](https://github.com/lstein/stable-diffusion)\n",
"---\n" "---\n"
], ]
"metadata": {
"id": "ycYWcsEKc6w7"
}
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"source": [
"## ◢ Installation"
],
"metadata": { "metadata": {
"id": "dr32VLxlnouf" "id": "dr32VLxlnouf"
} },
"source": [
"## ◢ Installation"
]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"source": [ "execution_count": null,
"#@title 1. Check current GPU assigned\n",
"!nvidia-smi -L\n",
"!nvidia-smi"
],
"metadata": { "metadata": {
"cellView": "form", "cellView": "form",
"id": "a2Z5Qu_o8VtQ" "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", "cell_type": "code",
@ -75,90 +57,91 @@
"#@title 2. Download stable-diffusion Repository\n", "#@title 2. Download stable-diffusion Repository\n",
"from os.path import exists\n", "from os.path import exists\n",
"\n", "\n",
"if exists(\"/content/stable-diffusion/\")==True:\n", "!git clone --quiet https://github.com/lstein/stable-diffusion.git # Original repo\n",
" %cd /content/stable-diffusion/\n", "%cd /content/stable-diffusion/\n",
" print(\"Already downloaded repo\")\n", "!git checkout --quiet tags/release-1.14.1"
"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"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"source": [ "execution_count": null,
"#@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()"
],
"metadata": { "metadata": {
"cellView": "form", "cellView": "form",
"id": "QbXcGXYEFSNB" "id": "QbXcGXYEFSNB"
}, },
"execution_count": null, "outputs": [],
"outputs": []
},
{
"cell_type": "code",
"source": [ "source": [
"#@title 4. Load small ML models required\n", "#@title 3. Install dependencies\n",
"%cd /content/stable-diffusion/\n", "import gc\n",
"!python scripts/preload_models.py\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()" "gc.collect()"
], ]
"metadata": {
"cellView": "form",
"id": "ChIDWxLVHGGJ"
},
"execution_count": null,
"outputs": []
}, },
{ {
"cell_type": "code", "cell_type": "code",
"source": [ "execution_count": null,
"#@title 5. Restart Runtime\n",
"exit()"
],
"metadata": { "metadata": {
"cellView": "form", "cellView": "form",
"id": "8rSMhgnAttQa" "id": "8rSMhgnAttQa"
}, },
"execution_count": null, "outputs": [],
"outputs": []
},
{
"cell_type": "markdown",
"source": [ "source": [
"## ◢ Configuration" "#@title 4. Restart Runtime\n",
], "exit()"
"metadata": { ]
"id": "795x1tMoo8b1"
}
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null,
"metadata": {
"cellView": "form",
"id": "ChIDWxLVHGGJ"
},
"outputs": [],
"source": [ "source": [
"#@title 6. Mount google Drive\n", "#@title 5. Load small ML models required\n",
"from google.colab import drive\n", "import gc\n",
"drive.mount('/content/drive')" "%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": { "metadata": {
"cellView": "form", "cellView": "form",
"id": "YEWPV-sF1RDM" "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", "cell_type": "code",
"execution_count": null,
"metadata": {
"cellView": "form",
"id": "zRTJeZ461WGu"
},
"outputs": [],
"source": [ "source": [
"#@title 7. Drive Path to model\n", "#@title 7. Drive Path to model\n",
"#@markdown Path should start with /content/drive/path-to-your-file <br>\n", "#@markdown Path should start with /content/drive/path-to-your-file <br>\n",
@ -167,20 +150,20 @@
"from os.path import exists\n", "from os.path import exists\n",
"\n", "\n",
"model_path = \"\" #@param {type:\"string\"}\n", "model_path = \"\" #@param {type:\"string\"}\n",
"if exists(model_path)==True:\n", "if exists(model_path):\n",
" print(\"✅ Valid directory\")\n", " print(\"✅ Valid directory\")\n",
"else: \n", "else: \n",
" print(\"❌ File doesn't exist\")" " print(\"❌ File doesn't exist\")"
], ]
"metadata": {
"cellView": "form",
"id": "zRTJeZ461WGu"
},
"execution_count": null,
"outputs": []
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null,
"metadata": {
"cellView": "form",
"id": "UY-NNz4I8_aG"
},
"outputs": [],
"source": [ "source": [
"#@title 8. Symlink to model\n", "#@title 8. Symlink to model\n",
"\n", "\n",
@ -188,39 +171,39 @@
"import os \n", "import os \n",
"\n", "\n",
"# Folder creation if it doesn't exist\n", "# Folder creation if it doesn't exist\n",
"if exists(\"/content/stable-diffusion/models/ldm/stable-diffusion-v1\")==True:\n", "if exists(\"/content/stable-diffusion/models/ldm/stable-diffusion-v1\"):\n",
" print(\"❗ Dir stable-diffusion-v1 already exists\")\n", " print(\"❗ Dir stable-diffusion-v1 already exists\")\n",
"else:\n", "else:\n",
" %mkdir /content/stable-diffusion/models/ldm/stable-diffusion-v1\n", " %mkdir /content/stable-diffusion/models/ldm/stable-diffusion-v1\n",
" print(\"✅ Dir stable-diffusion-v1 created\")\n", " print(\"✅ Dir stable-diffusion-v1 created\")\n",
"\n", "\n",
"# Symbolic link if it doesn't exist\n", "# Symbolic link if it doesn't exist\n",
"if exists(\"/content/stable-diffusion/models/ldm/stable-diffusion-v1/model.ckpt\")==True:\n", "if exists(\"/content/stable-diffusion/models/ldm/stable-diffusion-v1/model.ckpt\"):\n",
" print(\"❗ Symlink already created\")\n", " print(\"❗ Symlink already created\")\n",
"else: \n", "else: \n",
" src = model_path\n", " src = model_path\n",
" dst = '/content/stable-diffusion/models/ldm/stable-diffusion-v1/model.ckpt'\n", " dst = '/content/stable-diffusion/models/ldm/stable-diffusion-v1/model.ckpt'\n",
" os.symlink(src, dst) \n", " os.symlink(src, dst) \n",
" print(\"✅ Symbolic link created successfully\")" " print(\"✅ Symbolic link created successfully\")"
], ]
"metadata": {
"id": "UY-NNz4I8_aG",
"cellView": "form"
},
"execution_count": null,
"outputs": []
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"source": [
"## ◢ Execution"
],
"metadata": { "metadata": {
"id": "Mc28N0_NrCQH" "id": "Mc28N0_NrCQH"
} },
"source": [
"## ◢ Execution"
]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null,
"metadata": {
"cellView": "form",
"id": "ir4hCrMIuUpl"
},
"outputs": [],
"source": [ "source": [
"#@title 9. Run Terminal and Execute Dream bot\n", "#@title 9. Run Terminal and Execute Dream bot\n",
"#@markdown <font color=\"blue\">Steps:</font> <br>\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 3. Example text: `Astronaut floating in a distant galaxy` <br>\n",
"#@markdown 4. To quit Dream bot use: `q` command.<br>\n", "#@markdown 4. To quit Dream bot use: `q` command.<br>\n",
"\n", "\n",
"import gc\n",
"%cd /content/stable-diffusion/\n",
"%load_ext colabxterm\n", "%load_ext colabxterm\n",
"%xterm\n", "%xterm\n",
"gc.collect()" "gc.collect()"
], ]
"metadata": {
"id": "ir4hCrMIuUpl",
"cellView": "form"
},
"execution_count": null,
"outputs": []
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null,
"metadata": {
"cellView": "form",
"id": "qnLohSHmKoGk"
},
"outputs": [],
"source": [ "source": [
"#@title 10. Show the last 15 generated images\n", "#@title 10. Show the last 15 generated images\n",
"import gc\n",
"import glob\n", "import glob\n",
"import matplotlib.pyplot as plt\n", "import matplotlib.pyplot as plt\n",
"import matplotlib.image as mpimg\n", "import matplotlib.image as mpimg\n",
@ -269,13 +249,25 @@
" plt.imshow(image)\n", " plt.imshow(image)\n",
" gc.collect()\n", " gc.collect()\n",
"\n" "\n"
]
}
], ],
"metadata": { "metadata": {
"cellView": "form", "accelerator": "GPU",
"id": "qnLohSHmKoGk" "colab": {
"collapsed_sections": [],
"private_outputs": true,
"provenance": []
}, },
"execution_count": null, "gpuClass": "standard",
"outputs": [] "kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"name": "python"
} }
] },
"nbformat": 4,
"nbformat_minor": 0
} }

26
requirements-colab.txt
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@ -1,26 +0,0 @@
albumentations==0.4.3
clean-fid==0.1.29
einops==0.3.0
huggingface-hub==0.8.1
imageio-ffmpeg==0.4.2
imageio==2.9.0
kornia==0.6.0
numpy==1.21.6
omegaconf==2.1.1
opencv-python==4.6.0.66
pillow==9.2.0
pip>=22
pudb==2019.2
pytorch-lightning==1.4.2
streamlit==1.12.0
taming-transformers-rom1504==0.0.6
test-tube>=0.7.5
torch-fidelity==0.3.0
torchmetrics==0.6.0
torchtext==0.6.0
transformers==4.19.2
torch==1.12.1+cu113
torchvision==0.13.1+cu113
git+https://github.com/openai/CLIP.git@main#egg=clip
git+https://github.com/lstein/k-diffusion.git@master#egg=k-diffusion
-e .

7
requirements-lin-AMD.txt Normal file
View File

@ -0,0 +1,7 @@
-r requirements.txt
# Get hardware-appropriate torch/torchvision
--extra-index-url https://download.pytorch.org/whl/rocm5.1.1 --trusted-host https://download.pytorch.org
torch
torchvision
-e .

7
requirements-lin-win-colab-CUDA.txt Normal file
View File

@ -0,0 +1,7 @@
-r requirements.txt
# Get hardware-appropriate torch/torchvision
--extra-index-url https://download.pytorch.org/whl/cu116 --trusted-host https://download.pytorch.org
torch
torchvision
-e .

33
requirements-lin.txt
View File

@ -1,33 +0,0 @@
albumentations==0.4.3
einops==0.3.0
huggingface-hub==0.8.1
imageio-ffmpeg==0.4.2
imageio==2.9.0
kornia==0.6.0
# pip will resolve the version which matches torch
numpy
omegaconf==2.1.1
opencv-python==4.6.0.66
pillow==9.2.0
pip>=22
pudb==2019.2
pytorch-lightning==1.4.2
streamlit==1.12.0
# "CompVis/taming-transformers" doesn't work
# ldm\models\autoencoder.py", line 6, in <module>
# from taming.modules.vqvae.quantize import VectorQuantizer2 as VectorQuantizer
# ModuleNotFoundError
taming-transformers-rom1504==0.0.6
test-tube>=0.7.5
torch-fidelity==0.3.0
torchmetrics==0.6.0
transformers==4.19.2
git+https://github.com/openai/CLIP.git@main#egg=clip
git+https://github.com/lstein/k-diffusion.git@master#egg=k-diffusion
git+https://github.com/lstein/GFPGAN@fix-dark-cast-images#egg=gfpgan
# No CUDA in PyPi builds
--extra-index-url https://download.pytorch.org/whl/cu113 --trusted-host https://download.pytorch.org
torch==1.11.0
# Same as numpy - let pip do its thing
torchvision
-e .

8
requirements-mac-MPS-CPU.txt Normal file
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@ -0,0 +1,8 @@
-r requirements.txt
--pre
--extra-index-url https://download.pytorch.org/whl/nightly/cpu --trusted-host https://download.pytorch.org
torch
torchvision
-e .

24
requirements-mac.txt
View File

@ -1,24 +0,0 @@
albumentations==0.4.3
einops==0.3.0
huggingface-hub==0.8.1
imageio==2.9.0
imageio-ffmpeg==0.4.2
kornia==0.6.0
numpy==1.23.1
--pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/cpu
omegaconf==2.1.1
opencv-python==4.6.0.66
pillow==9.2.0
pudb==2019.2
torch==1.12.1
torchvision==0.13.0
pytorch-lightning==1.4.2
streamlit==1.12.0
test-tube>=0.7.5
torch-fidelity==0.3.0
torchmetrics==0.6.0
transformers==4.19.2
-e git+https://github.com/openai/CLIP.git@main#egg=clip
-e git+https://github.com/CompVis/taming-transformers.git@master#egg=taming-transformers
-e git+https://github.com/Birch-san/k-diffusion.git@mps#egg=k-diffusion
-e git+https://github.com/lstein/GFPGAN@fix-dark-cast-images#egg=gfpgan

33
requirements-win.txt
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@ -1,33 +0,0 @@
albumentations==0.4.3
einops==0.3.0
huggingface-hub==0.8.1
imageio-ffmpeg==0.4.2
imageio==2.9.0
kornia==0.6.0
# pip will resolve the version which matches torch
numpy
omegaconf==2.1.1
opencv-python==4.6.0.66
pillow==9.2.0
pip>=22
pudb==2019.2
pytorch-lightning==1.4.2
streamlit==1.12.0
# "CompVis/taming-transformers" doesn't work
# ldm\models\autoencoder.py", line 6, in <module>
# from taming.modules.vqvae.quantize import VectorQuantizer2 as VectorQuantizer
# ModuleNotFoundError
taming-transformers-rom1504==0.0.6
test-tube>=0.7.5
torch-fidelity==0.3.0
torchmetrics==0.6.0
transformers==4.19.2
git+https://github.com/openai/CLIP.git@main#egg=clip
git+https://github.com/lstein/k-diffusion.git@master#egg=k-diffusion
git+https://github.com/lstein/GFPGAN@fix-dark-cast-images#egg=gfpgan
# No CUDA in PyPi builds
--extra-index-url https://download.pytorch.org/whl/cu113 --trusted-host https://download.pytorch.org
torch==1.11.0
# Same as numpy - let pip do its thing
torchvision
-e .

27
requirements.txt Normal file
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@ -0,0 +1,27 @@
--prefer-binary
albumentations
einops
huggingface-hub
imageio-ffmpeg
imageio
kornia
# pip will resolve the version which matches torch
numpy
omegaconf
opencv-python
pillow
pip>=22
pudb
pytorch-lightning
streamlit
# "CompVis/taming-transformers" IS NOT INSTALLABLE
# This is a drop-in replacement
taming-transformers-rom1504
test-tube
torch-fidelity
torchmetrics
transformers
git+https://github.com/openai/CLIP.git@main#egg=clip
git+https://github.com/Birch-san/k-diffusion.git@mps#egg=k-diffusion
git+https://github.com/lstein/GFPGAN@fix-dark-cast-images#egg=gfpgan

4
setup.py
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@ -1,8 +1,8 @@
from setuptools import setup, find_packages from setuptools import setup, find_packages
setup( setup(
name='latent-diffusion', name='stable-diffusion',
version='0.0.1', version='1.15.0-dev',
description='', description='',
packages=find_packages(), packages=find_packages(),
install_requires=[ install_requires=[