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use configured alpha/beta values in Beta scheduling
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@ -118,8 +118,8 @@ def ddim_scheduler(n, sigma_min, sigma_max, inner_model, device):
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def beta_scheduler(n, sigma_min, sigma_max, inner_model, device):
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def beta_scheduler(n, sigma_min, sigma_max, inner_model, device):
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# From "Beta Sampling is All You Need" [arXiv:2407.12173] (Lee et. al, 2024) """
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# From "Beta Sampling is All You Need" [arXiv:2407.12173] (Lee et. al, 2024) """
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alpha = 0.6
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alpha = shared.opts.beta_dist_alpha
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beta = 0.6
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beta = shared.opts.beta_dist_beta
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timesteps = 1 - np.linspace(0, 1, n)
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timesteps = 1 - np.linspace(0, 1, n)
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timesteps = [stats.beta.ppf(x, alpha, beta) for x in timesteps]
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timesteps = [stats.beta.ppf(x, alpha, beta) for x in timesteps]
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sigmas = [sigma_min + (x * (sigma_max-sigma_min)) for x in timesteps]
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sigmas = [sigma_min + (x * (sigma_max-sigma_min)) for x in timesteps]
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