[tests] refactor b* pipeline tests - #14625
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sayakpaul
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Aug 27, 2026
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| # fmt: off | ||
| expected_slice = torch.tensor([0.5615, 0.4469, 0.4043, 0.4312, 0.3783, 0.4426, 0.4081, 0.4446, 0.6549, 0.6302, 0.6324, 0.5871, 0.6117, 0.6647, 0.5871, 0.6246]) | ||
| expected_slice = torch.tensor([0.5594, 0.4469, 0.4011, 0.4329, 0.3747, 0.4408, 0.4074, 0.4452, 0.6472, 0.6353, 0.6258, 0.5867, 0.6104, 0.6624, 0.5824, 0.6277]) |
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Using a small text encoder, that is why.
sayakpaul
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Aug 27, 2026
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| # fmt: off | ||
| expected_slice = torch.tensor([0.4025, 0.4722, 0.4377, 0.6178, 0.3643, 0.4914, 0.3694, 0.5096, 0.5980, 0.5516, 0.5228, 0.4731, 0.6202, 0.2424, 0.6280, 0.3556]) | ||
| expected_slice = torch.tensor([0.3804, 0.4799, 0.5112, 0.5784, 0.3970, 0.4709, 0.4027, 0.4882, 0.5627, 0.4635, 0.4718, 0.3876, 0.5741, 0.2936, 0.5912, 0.4014]) |
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Using a small text encoder that is why
DN6
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Aug 28, 2026
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| torch.manual_seed(0) | ||
| text_encoder = SmolLM3ForCausalLM(SmolLM3Config(hidden_size=32)) | ||
| text_encoder = SmolLM3ForCausalLM( |
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Do we need to set eval() on this?
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get_pipeline() already does it. Made sure we are using that method always.
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/diffusers-bot pytest tests/pipelines/bria/ |
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