Fix multi-prompt inference

[nikitabalabin]

Fix generation of multiple images with multiple prompts, e.g len(prompts)>1, num_images_per_prompt>1

What does this PR do?

Fixes # (issue)

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[sayakpaul]

Can you show an example of where the current code (without the changes in this PR) fails?

[nikitabalabin]

from diffusers import PixArtAlphaPipeline, Transformer2DModel
import torch
pipe = PixArtAlphaPipeline.from_pretrained("PixArt-alpha/PixArt-XL-2-1024-MS", torch_dtype=torch.float16).to('cuda')
prompts = ["a man", "cat riding a bike in the forest, watercolor style"] images = pipe(prompt=prompts, num_images_per_prompt=2).images

images[1] and images[2] will be generated with wrong prompt_attention_mask.

[sayakpaul]

Thanks! Could we add a fast test for this as well?

[HuggingFaceDocBuilderDev]

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[yiyixuxu]

hi @nikitabalabin
thanks for the PR! let us know if you're still interested in finishing it:)

[yiyixuxu]

can we run make style too?

[sayakpaul]

@hlky was the close expected?

[hlky]

Rebase to fix conflict went wrong 😅