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11c1d6cc28
get_batch() called torch.nn.functional.interpolate on a mismatched noise mask but discarded the result, so the mask kept its original size. The height check was also missing the *8 pixel scale. When a rebatched latent carried a noise mask that did not match samples * 8 (e.g. from SetLatentNoiseMask, which stores masks unscaled), the unresized mask later failed to concatenate with another latent's default mask and raised a size-mismatch RuntimeError. Assign the interpolate result back to mask and compare the height against shape[-2] * 8. |
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| .. | ||
| __init__.py | ||
| image_stitch_test.py | ||
| nodes_math_test.py | ||
| nodes_number_convert_test.py | ||
| nodes_rebatch_test.py | ||
| test_seedvr2_conditioning.py | ||
| test_seedvr2_nodes.py | ||
| test_seedvr2_post_processing.py | ||
| test_seedvr2_temporal_chunk.py | ||