Update processing.py
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@ -713,7 +713,7 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
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for i in range(samples.shape[0]):
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for i in range(samples.shape[0]):
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save_intermediate(samples, i)
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save_intermediate(samples, i)
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samples = torch.nn.functional.interpolate(samples, size=(target_height // opt_f, target_width // opt_f), mode=latent_scale_mode)
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samples = torch.nn.functional.interpolate(samples, size=(target_height // opt_f, target_width // opt_f), mode=latent_scale_mode["mode"], antialias=latent_scale_mode["antialias"])
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# Avoid making the inpainting conditioning unless necessary as
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# Avoid making the inpainting conditioning unless necessary as
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# this does need some extra compute to decode / encode the image again.
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# this does need some extra compute to decode / encode the image again.
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