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README.md

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@@ -40,28 +40,30 @@ cd generative-models
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#### 2. Setting up the virtualenv
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- This is assuming you have navigated to the `generative-models` root after cloning it.
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- Our codebase is tested under `python3.8` and `python3.10`. For other python versions, you might encounter version conflicts.
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- We support `PyTorch 1.13` and `PyTorch 2.0`. Specify your version:
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This is assuming you have navigated to the `generative-models` root after cloning it.
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**NOTE:** This is tested under `python3.8` and `python3.10`. For other python versions, you might encounter version conflicts.
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**PyTorch 1.13**
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```shell
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export PT_VERSION="pt13"
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```
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**PyTorch 2.0**
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**PyTorch 1.13**
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```shell
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export PT_VERSION="pt2"
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# install required packages from pypi
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python3 -m venv .pt1
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source .pt1/bin/activate
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pip3 install wheel
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pip3 install -r requirements_pt13.txt
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```
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- Create a virtualenv:
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**PyTorch 2.0**
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```shell
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python3 -m venv .$PT_VERSION
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source .$PT_VERSION/bin/activate
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# install required packages from pypi
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python3 -m venv .pt2
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source .pt2/bin/activate
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pip3 install wheel
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pip3 install -r requirements_pt2.txt
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```
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#### 3. Installation of the required packages from pypi

requirements_pt13.txt

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wheel==0.40.0
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omegaconf==2.3.0
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einops==0.6.1
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fire==0.5.0
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tqdm==4.65.0
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pillow==9.5.0
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numpy==1.25.0
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omegaconf
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einops
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fire
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tqdm
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pillow
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numpy
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webdataset>=0.2.33
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torch==1.13.1
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--extra-index-url https://download.pytorch.org/whl/cu117
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torch==1.13.1+cu117
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xformers==0.0.16
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torchaudio==0.13.1
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torchvision==0.14.1
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torchmetrics==0.11.4
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torchvision==0.14.1+cu117
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torchmetrics
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opencv-python==4.6.0.66
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fairscale==0.4.13
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fairscale
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pytorch-lightning==1.8.5
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fsspec==2023.6.0
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fsspec
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kornia==0.6.9
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matplotlib==3.7.1
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natsort==8.4.0
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matplotlib
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natsort
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tensorboardx==2.5.1
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open-clip-torch==2.20.0
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chardet==5.1.0
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scipy==1.10.1
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pandas==2.0.2
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pudb==2022.1.3
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pyyaml==6.0
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open-clip-torch
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chardet
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scipy
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pandas
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pudb
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pyyaml
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urllib3<1.27,>=1.25.4
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streamlit>=0.73.1
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timm>=0.9.2
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timm
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tokenizers==0.12.1
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torchdata==0.5.1
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transformers==4.19.1
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triton==2.0.0
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wandb>=0.15.4
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invisible-watermark==0.1.5
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taming-transformers @ git+https://github.com/CompVis/taming-transformers.git@master#egg=taming-transformers
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clip @ git+https://github.com/openai/CLIP.git@main#egg=clip
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sdata @ git+https://github.com/Stability-AI/datapipelines.git@main#egg=sdata
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triton
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wandb
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invisible-watermark
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-e git+https://github.com/CompVis/taming-transformers.git@master#egg=taming-transformers
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-e git+https://github.com/openai/CLIP.git@main#egg=clip
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-e git+https://github.com/Stability-AI/datapipelines.git@main#egg=sdata
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-e .

requirements_pt2.txt

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wheel==0.40.0
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omegaconf==2.3.0
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einops==0.6.1
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fire==0.5.0
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tqdm==4.65.0
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pillow==9.5.0
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numpy==1.25.0
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omegaconf
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einops
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fire
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tqdm
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pillow
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numpy
87
webdataset>=0.2.33
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ninja==1.11.1
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torch==2.0.1
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matplotlib==3.7.1
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ninja
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torch
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matplotlib
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torchaudio>=2.0.2
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torchmetrics==0.11.4
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torchmetrics
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torchvision>=0.15.2
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opencv-python==4.6.0.66
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fairscale==0.4.13
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fairscale
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pytorch-lightning==2.0.1
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fire==0.5.0
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fsspec==2023.6.0
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fire
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fsspec
2019
kornia==0.6.9
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natsort==8.4.0
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open-clip-torch==2.20.0
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natsort
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open-clip-torch
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chardet==5.1.0
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tensorboardx==2.6
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pandas==2.0.2
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pudb==2022.1.3
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pyyaml==6.0
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pandas
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pudb
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pyyaml
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urllib3<1.27,>=1.25.4
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scipy==1.10.1
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scipy
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streamlit>=0.73.1
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timm>=0.9.2
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timm
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tokenizers==0.12.1
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transformers==4.19.1
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triton==2.0.0
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torchdata==0.6.1
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wandb>=0.15.4
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invisible-watermark>=0.1.5
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xformers==0.0.20
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taming_transformers @ git+https://github.com/CompVis/taming-transformers.git@master#egg=taming-transformers
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clip @ git+https://github.com/openai/CLIP.git@main#egg=clip
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sdata @ git+https://github.com/Stability-AI/datapipelines.git@main#egg=sdata
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wandb
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invisible-watermark
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xformers
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-e git+https://github.com/CompVis/taming-transformers.git@master#egg=taming-transformers
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-e git+https://github.com/openai/CLIP.git@main#egg=clip
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-e git+https://github.com/Stability-AI/datapipelines.git@main#egg=sdata
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-e .

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