| <!--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. |
| --> |
|
|
| # Super-resolution |
|
|
| The Stable Diffusion upscaler diffusion model was created by the researchers and engineers from [CompVis](https://github.com/CompVis), [Stability AI](https://stability.ai/), and [LAION](https://laion.ai/). It is used to enhance the resolution of input images by a factor of 4. |
|
|
| <Tip> |
|
|
| Make sure to check out the Stable Diffusion [Tips](overview#tips) section to learn how to explore the tradeoff between scheduler speed and quality, and how to reuse pipeline components efficiently! |
|
|
| If you're interested in using one of the official checkpoints for a task, explore the [CompVis](https://huggingface.co/CompVis), [Runway](https://huggingface.co/runwayml), and [Stability AI](https://huggingface.co/stabilityai) Hub organizations! |
|
|
| </Tip> |
|
|
| ## StableDiffusionUpscalePipeline |
|
|
| [[autodoc]] StableDiffusionUpscalePipeline |
| - all |
| - __call__ |
| - enable_attention_slicing |
| - disable_attention_slicing |
| - enable_xformers_memory_efficient_attention |
| - disable_xformers_memory_efficient_attention |
|
|
| ## StableDiffusionPipelineOutput |
|
|
| [[autodoc]] pipelines.stable_diffusion.StableDiffusionPipelineOutput |
