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use float32 reference for textual inversion (fixes tests on CPU)
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@ -45,7 +45,7 @@ def our_encoder_with_new_concepts(
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def ref_sd15_with_new_concepts(
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def ref_sd15_with_new_concepts(
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runwayml_weights_path: Path, test_textual_inversion_path: Path, test_device: torch.device
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runwayml_weights_path: Path, test_textual_inversion_path: Path, test_device: torch.device
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):
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):
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pipe = StableDiffusionPipeline.from_pretrained(runwayml_weights_path, torch_dtype=torch.float16).to(test_device) # type: ignore
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pipe = StableDiffusionPipeline.from_pretrained(runwayml_weights_path).to(test_device) # type: ignore
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pipe.load_textual_inversion(test_textual_inversion_path / "cat-toy") # type: ignore
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pipe.load_textual_inversion(test_textual_inversion_path / "cat-toy") # type: ignore
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pipe.load_textual_inversion(test_textual_inversion_path / "gta5-artwork") # type: ignore
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pipe.load_textual_inversion(test_textual_inversion_path / "gta5-artwork") # type: ignore
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return pipe
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return pipe
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