Merge remote-tracking branch 'origin/master'
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@ -124,7 +124,7 @@ def create_random_tensors(shape, seeds, subseeds=None, subseed_strength=0.0, see
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# if we have multiple seeds, this means we are working with batch size>1; this then
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# enables the generation of additional tensors with noise that the sampler will use during its processing.
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# Using those pre-genrated tensors instead of siimple torch.randn allows a batch with seeds [100, 101] to
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# Using those pre-generated tensors instead of simple torch.randn allows a batch with seeds [100, 101] to
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# produce the same images as with two batches [100], [101].
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if p is not None and p.sampler is not None and len(seeds) > 1 and opts.enable_batch_seeds:
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sampler_noises = [[] for _ in range(p.sampler.number_of_needed_noises(p))]
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