| <!--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 |
|
|
| ## StableDiffusionUpscalePipeline |
|
|
| The 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/), as part of Stable Diffusion 2.0. [`StableDiffusionUpscalePipeline`] can be used to enhance the resolution of input images by a factor of 4. |
|
|
| The original codebase can be found here: |
| - *Stable Diffusion v2*: [Stability-AI/stablediffusion](https://github.com/Stability-AI/stablediffusion#image-upscaling-with-stable-diffusion) |
|
|
| Available Checkpoints are: |
| - *stabilityai/stable-diffusion-x4-upscaler (x4 resolution resolution)*: [stable-diffusion-x4-upscaler](https://huggingface.co/stabilityai/stable-diffusion-x4-upscaler) |
|
|
|
|
| [[autodoc]] StableDiffusionUpscalePipeline |
| - all |
| - __call__ |
| - enable_attention_slicing |
| - disable_attention_slicing |
| - enable_xformers_memory_efficient_attention |
| - disable_xformers_memory_efficient_attention |
