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@@ -143,6 +143,8 @@ class DDPMScheduler(SchedulerMixin, ConfigMixin):
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beta_schedule (`str`, defaults to `"linear"`):
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The beta schedule, a mapping from a beta range to a sequence of betas for stepping the model. Choose from
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`linear`, `scaled_linear`, or `squaredcos_cap_v2`.
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trained_betas (`np.ndarray`, *optional*):
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An array of betas to pass directly to the constructor without using `beta_start` and `beta_end`.
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variance_type (`str`, defaults to `"fixed_small"`):
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Clip the variance when adding noise to the denoised sample. Choose from `fixed_small`, `fixed_small_log`,
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`fixed_large`, `fixed_large_log`, `learned` or `learned_range`.
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