Fix gradient checkpointing bugs in freezing part of models (requires_grad=False)

[IrisRainbowNeko]

What does this PR do?

Same as the PR I opened in diffusers.

Using torch.utils.checkpoint.checkpoint directly will cause the parameters in the checkpoint section to not be learned when part of the model parameters are freezed. As these discussions state:

https://discuss.pytorch.org/t/use-of-torch-utils-checkpoint-checkpoint-causes-simple-model-to-diverge/116271

https://discuss.pytorch.org/t/checkpoint-with-no-grad-requiring-inputs-problem/19117/19

In pytroch versions larger than 1.11.0, the use_reentrant=False can be added to fix this bug.

Fixes # (issue)

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