|
<!--Copyright 2023 The HuggingFace Team. All rights reserved. |
|
|
|
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with |
|
the License. You may obtain a copy of the License at |
|
|
|
http://www.apache.org/licenses/LICENSE-2.0 |
|
|
|
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on |
|
an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the |
|
specific language governing permissions and limitations under the License. |
|
--> |
|
|
|
|
|
|
|
|
|
|
|
Euler scheduler (Algorithm 2) from the paper [Elucidating the Design Space of Diffusion-Based Generative Models](https://arxiv.org/abs/2206.00364) by Karras et al. (2022). Based on the original [k-diffusion](https://github.com/crowsonkb/k-diffusion/blob/481677d114f6ea445aa009cf5bd7a9cdee909e47/k_diffusion/sampling.py |
|
Fast scheduler which often times generates good outputs with 20-30 steps. |
|
|
|
|
|
[[autodoc]] EulerDiscreteScheduler |