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[Fix] syntax in QwenImageEditPlusPipeline #12371

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[Fix] syntax in QwenImageEditPlusPipeline #12371

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be5f00a
Fixes syntax for consistency among pipelines
SahilCarterr Sep 22, 2025
8642119
Update test_qwenimage_edit_plus.py
SahilCarterr Sep 23, 2025
71b89a3
Merge branch 'main' into fix_syntax_qwenimageEditPlus
SahilCarterr Sep 23, 2025
8801ea1
Merge branch 'main' into fix_syntax_qwenimageEditPlus
SahilCarterr Sep 24, 2025
4702f20
Merge branch 'main' into fix_syntax_qwenimageEditPlus
SahilCarterr Sep 25, 2025
50b67ec
Merge branch 'main' into fix_syntax_qwenimageEditPlus
SahilCarterr Sep 28, 2025
73feb65
Merge branch 'main' into fix_syntax_qwenimageEditPlus
SahilCarterr Sep 29, 2025
2a6ac80
Merge branch 'main' into fix_syntax_qwenimageEditPlus
SahilCarterr Sep 29, 2025
911dc79
Merge branch 'main' into fix_syntax_qwenimageEditPlus
SahilCarterr Sep 30, 2025
ca363b0
Merge branch 'main' into fix_syntax_qwenimageEditPlus
SahilCarterr Oct 5, 2025
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2 changes: 1 addition & 1 deletion docs/source/en/api/pipelines/qwenimage.md
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Expand Up @@ -101,7 +101,7 @@ The `guidance_scale` parameter in the pipeline is there to support future guidan

With [`QwenImageEditPlusPipeline`], one can provide multiple images as input reference.

```
```py
import torch
from PIL import Image
from diffusers import QwenImageEditPlusPipeline
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2 changes: 1 addition & 1 deletion tests/pipelines/qwenimage/test_qwenimage_edit_plus.py
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Expand Up @@ -164,7 +164,7 @@ def test_inference(self):
self.assertEqual(generated_image.shape, (3, 32, 32))

# fmt: off
expected_slice = torch.tensor([[0.5637, 0.6341, 0.6001, 0.5620, 0.5794, 0.5498, 0.5757, 0.6389, 0.4174, 0.3597, 0.5649, 0.4894, 0.4969, 0.5255, 0.4083, 0.4986]])
expected_slice = torch.tensor([0.5637, 0.6341, 0.6001, 0.5620, 0.5794, 0.5498, 0.5757, 0.6389, 0.4174, 0.3597, 0.5649, 0.4894, 0.4969, 0.5255, 0.4083, 0.4986])
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Why is that needed?

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The generated_slice is a 1D tensor of length 16. So we have to make expected_slice 1D so it directly matches with the shape of generated_slice. And Also other pipelines has the same expected_slice in 1D.

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Let's discard this change in this PR for now.

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okay Discarded this change now.

# fmt: on

generated_slice = generated_image.flatten()
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