What does this PR do?

Fixes #14470.

InpaintProcessor.preprocess returns a 3-tuple (image, mask, postprocessing_kwargs) across all masked execution paths, but when mask is None, the early return returned only the processed image tensor directly. Callers unpacking the standard 3-value contract (image, mask, postprocessing_kwargs = processor.preprocess(...)) would raise ValueError: not enough values to unpack (expected 3, got 1).

Root Cause

When the 3-value contract and postprocessing_kwargs were introduced in commit f50b18eec (#12220), the early return for mask is None was not updated to return the consistent 3-tuple structure. Additionally, the return type annotation indicated tuple[torch.Tensor, torch.Tensor], which did not reflect the 3-element return value or optional mask.

Changes

• Updated InpaintProcessor.preprocess in src/diffusers/image_processor.py when mask is None to return (processed_image, None, postprocessing_kwargs) where postprocessing_kwargs is populated with {"crops_coords": None, "original_image": None, "original_mask": None}.
• Updated return type annotation to tuple[torch.Tensor, torch.Tensor | None, dict[str, Any]].
• Added unit tests in tests/others/test_image_processor.py covering preprocess with mask, without mask (mask=None), and with padding_mask_crop.

Before submitting

• Did you read the contributor guideline?
• Did you read our philosophy doc?
• Was this discussed/approved via a GitHub issue or the forum? Fixes InpaintProcessor.preprocess returns a bare tensor when no mask is passed, breaking its own 3-value contract #14470.
• Did you write any new necessary tests?

Who can review?

@DN6 @yiyixuxu