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renzhc
diffusers_dcu
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03373de0
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03373de0
authored
Jan 31, 2024
by
Steven Liu
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GitHub
Jan 31, 2024
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[docs] Add missing parameter (#6775)
add missing param
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src/diffusers/schedulers/scheduling_ddpm.py
src/diffusers/schedulers/scheduling_ddpm.py
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src/diffusers/schedulers/scheduling_ddpm.py
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03373de0
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@@ -143,6 +143,8 @@ class DDPMScheduler(SchedulerMixin, ConfigMixin):
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@@ -143,6 +143,8 @@ class DDPMScheduler(SchedulerMixin, ConfigMixin):
beta_schedule (`str`, defaults to `"linear"`):
beta_schedule (`str`, defaults to `"linear"`):
The beta schedule, a mapping from a beta range to a sequence of betas for stepping the model. Choose from
The beta schedule, a mapping from a beta range to a sequence of betas for stepping the model. Choose from
`linear`, `scaled_linear`, or `squaredcos_cap_v2`.
`linear`, `scaled_linear`, or `squaredcos_cap_v2`.
trained_betas (`np.ndarray`, *optional*):
An array of betas to pass directly to the constructor without using `beta_start` and `beta_end`.
variance_type (`str`, defaults to `"fixed_small"`):
variance_type (`str`, defaults to `"fixed_small"`):
Clip the variance when adding noise to the denoised sample. Choose from `fixed_small`, `fixed_small_log`,
Clip the variance when adding noise to the denoised sample. Choose from `fixed_small`, `fixed_small_log`,
`fixed_large`, `fixed_large_log`, `learned` or `learned_range`.
`fixed_large`, `fixed_large_log`, `learned` or `learned_range`.
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