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CosineDPMSolverMultistepScheduler
The CosineDPMSolverMultistepScheduler is a variant of DPMSolverMultistepScheduler with cosine schedule, proposed by Nichol and Dhariwal (2021). It is being used in the Stable Audio Open paper and the Stability-AI/stable-audio-tool codebase.
This scheduler was contributed by Yoach Lacombe.
CosineDPMSolverMultistepScheduler[[diffusers.CosineDPMSolverMultistepScheduler]]
SchedulerOutput[[diffusers.schedulers.scheduling_utils.SchedulerOutput]]
- prev_sample (
torch.Tensorof shape(batch_size, num_channels, height, width)for images) -- Computed sample(x_{t-1})of previous timestep.prev_sampleshould be used as next model input in the denoising loop.
Base class for the output of a scheduler's step function.
Xet Storage Details
- Size:
- 1.12 kB
- Xet hash:
- 62efd59d452674621d88d7ca681bea4aa1946e67eac0a58296dfb1c81f1bb9d2
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