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OpenDAS
diffusers
Commits
49a4b377
Unverified
Commit
49a4b377
authored
Jan 16, 2024
by
Sayak Paul
Committed by
GitHub
Jan 16, 2024
Browse files
remove omegaconf from the residues
👋
(#6600)
remove omegaconf
👋
parent
dff35a86
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docker/diffusers-pytorch-compile-cuda/Dockerfile
docker/diffusers-pytorch-compile-cuda/Dockerfile
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docker/diffusers-pytorch-cuda/Dockerfile
docker/diffusers-pytorch-cuda/Dockerfile
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docker/diffusers-pytorch-xformers-cuda/Dockerfile
docker/diffusers-pytorch-xformers-cuda/Dockerfile
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docs/source/en/using-diffusers/sdxl.md
docs/source/en/using-diffusers/sdxl.md
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-1
docs/source/en/using-diffusers/sdxl_turbo.md
docs/source/en/using-diffusers/sdxl_turbo.md
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docker/diffusers-pytorch-compile-cuda/Dockerfile
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49a4b377
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@@ -40,7 +40,6 @@ RUN python3.9 -m pip install --no-cache-dir --upgrade pip && \
numpy
\
scipy
\
tensorboard
\
transformers
\
omegaconf
transformers
CMD
["/bin/bash"]
docker/diffusers-pytorch-cuda/Dockerfile
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49a4b377
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@@ -40,7 +40,6 @@ RUN python3 -m pip install --no-cache-dir --upgrade pip && \
scipy
\
tensorboard
\
transformers
\
omegaconf
\
pytorch-lightning
CMD
["/bin/bash"]
docker/diffusers-pytorch-xformers-cuda/Dockerfile
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49a4b377
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@@ -40,7 +40,6 @@ RUN python3 -m pip install --no-cache-dir --upgrade pip && \
scipy
\
tensorboard
\
transformers
\
omegaconf
\
xformers
CMD
["/bin/bash"]
docs/source/en/using-diffusers/sdxl.md
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49a4b377
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@@ -26,7 +26,7 @@ Before you begin, make sure you have the following libraries installed:
```
py
# uncomment to install the necessary libraries in Colab
#!pip install -q diffusers transformers accelerate
omegaconf
invisible-watermark>=0.2.0
#!pip install -q diffusers transformers accelerate invisible-watermark>=0.2.0
```
<Tip
warning=
{true}
>
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docs/source/en/using-diffusers/sdxl_turbo.md
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49a4b377
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@@ -23,7 +23,7 @@ Before you begin, make sure you have the following libraries installed:
```
py
# uncomment to install the necessary libraries in Colab
#!pip install -q diffusers transformers accelerate
omegaconf
#!pip install -q diffusers transformers accelerate
```
## Load model checkpoints
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