z-image support npu

[luren55]

What does this PR do?

Issue: The Diffusers Z-Image pipeline fails on Ascend NPU because aclnnIndex lacks support for complex64. When freqs_cis is stored as a complex tensor on the NPU and then indexed, the call crashes.

Fix: Rework the RoPE frequency handling so that the NPU never needs to index complex64 tensors.

Running Environment:
I run this model base on cache-dit(https://github.com/vipshop/cache-dit/) which depends on diffusers to inference.

Command:
python3 generate.py zimage --model-path /home/weights/Z-Image-Turbo --attn _native_npu

Error before fixed:

Result after fixed:

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[luren55]

@yiyuxuxu Hello, could you please review this pr, thank you.

[luren55]

@yiyixuxu @sayakpaul Hello, could you please review this pr, thank you.

[sayakpaul]

Is it not possible to modify the existing RopeEmbedder class to account for the NPU hardware?

[luren55]

maybe we could modify the current RopeEmbedder class same as RopeEmbedderNPU？It could work for both device

[sayakpaul]

No I mean we keep the class name as RopeEmbedder and modify the definition such that it also works on NPU alongside current devices.

[luren55]

@sayakpaul I merged RopeEmbedderNPU into RopeEmbedder class, please review the modification

[sayakpaul]

Thanks!

[sayakpaul]

@bot /style

[github-actions]

Style bot fixed some files and pushed the changes.

[HuggingFaceDocBuilderDev]

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[luren55]

@sayakpaul can you merge this pr? I have verified both gpu and npu case, they can both work. thanks

[yiyixuxu]

@luren55
sorry I did not merge this earlier
I'm ok with changes in the transformer file, but what's going on with other changes? can you revert them?