forked from mrq/tortoise-tts
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@ -170,7 +170,7 @@ def do_spectrogram_diffusion(diffusion_model, diffuser, latents, conditioning_la
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noise = torch.randn(output_shape, device=latents.device) * temperature
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noise = torch.randn(output_shape, device=latents.device) * temperature
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diffuser.sampler = sampler.lower()
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diffuser.sampler = sampler.lower()
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mel = diffuser.ddim_sample_loop(diffusion_model, output_shape, noise=noise,
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mel = diffuser.sample_loop(diffusion_model, output_shape, noise=noise,
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model_kwargs={'precomputed_aligned_embeddings': precomputed_embeddings},
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model_kwargs={'precomputed_aligned_embeddings': precomputed_embeddings},
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verbose=verbose, progress=progress, desc=desc)
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verbose=verbose, progress=progress, desc=desc)
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