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# Super-Resolution |
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## StableDiffusionUpscalePipeline |
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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. |
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The original codebase can be found here: |
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- *Stable Diffusion v2*: [Stability-AI/stablediffusion](https://github.com/Stability-AI/stablediffusion#image-upscaling-with-stable-diffusion) |
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Available Checkpoints are: |
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- *stabilityai/stable-diffusion-x4-upscaler (x4 resolution resolution)*: [stable-diffusion-x4-upscaler](https://huggingface.co/stabilityai/stable-diffusion-x4-upscaler) |
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[[autodoc]] StableDiffusionUpscalePipeline |
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- all |
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- __call__ |
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- enable_attention_slicing |
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- disable_attention_slicing |
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- enable_xformers_memory_efficient_attention |
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- disable_xformers_memory_efficient_attention |