Fix wrong dtype argument name as torch_dtype

[nPeppon]

What does this PR do?

In PR Improve load_ip_adapter RAM Usage, while indeed improving ram usage, I believe a small mistake was done in the usage of dtype argument instead of torch_dtype.
For instance when using code from Flux documentation on IP Adapters we can observe the

CLIPVisionModelWithProjection got an unexpected keyword argument 'dtype

In the example provided in original PR it is not using the method from load IP adapter directly but rather from

model = CLIPVisionModelWithProjection.from_pretrained("eramth/ip-adapter",subfolder="sdxl_models/image_encoder",torch_dtype=torch.float16)

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Who can review?

Anyone in the community is free to review the PR once the tests have passed.
@asomoza @hlky as reviewers of original PR

[asomoza]

thanks!

[HuggingFaceDocBuilderDev]

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[asomoza]

failing test are not related to this PR