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* Fix typos, update, add Copyright info, and trim trailing whitespaces * Update docs/source/en/api/loaders.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/api/models/autoencoder_tiny.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/api/models/autoencoder_tiny.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> --------- Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
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EulerDiscreteScheduler
The Euler scheduler (Algorithm 2) is from the Elucidating the Design Space of Diffusion-Based Generative Models paper by Karras et al. This is a fast scheduler which can often generate good outputs in 20-30 steps. The scheduler is based on the original k-diffusion implementation by Katherine Crowson.
EulerDiscreteScheduler
autodoc EulerDiscreteScheduler
EulerDiscreteSchedulerOutput
autodoc schedulers.scheduling_euler_discrete.EulerDiscreteSchedulerOutput