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renzhc
diffusers_dcu
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a402431d
Unverified
Commit
a402431d
authored
Apr 10, 2024
by
Sayak Paul
Committed by
GitHub
Apr 10, 2024
Browse files
[docs] remove duplicate tip block. (#7625)
remove duplicate tip block.
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b99b1617
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docs/source/en/training/distributed_inference.md
docs/source/en/training/distributed_inference.md
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docs/source/en/training/distributed_inference.md
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a402431d
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@@ -66,7 +66,7 @@ For example, if you have two 8GB GPUs, then using [`~DiffusionPipeline.enable_mo
To make use of both GPUs, you can use the "balanced" device placement strategy which splits the models across all available GPUs.
> [!
TIP
]
> [!
WARNING
]
> Only the "balanced" strategy is supported at the moment, and we plan to support additional mapping strategies in the future.
```
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@@ -81,9 +81,6 @@ image = pipeline("a dog").images[0]
image
```
> [!WARNING]
> Currently, we support only "balanced" `device_map`. We plan to support more device mapping strategies in future.
You can also pass a dictionary to enforce the maximum GPU memory that can be used on each device:
```
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