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diffusers/docs/source/en/api/pipelines/stable_diffusion/inpaint.md
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Inpainting

LoRA

The Stable Diffusion model can also be applied to inpainting which lets you edit specific parts of an image by providing a mask and a text prompt using Stable Diffusion.

Tips

It is recommended to use this pipeline with checkpoints that have been specifically fine-tuned for inpainting, such as runwayml/stable-diffusion-inpainting. Default text-to-image Stable Diffusion checkpoints, such as stable-diffusion-v1-5/stable-diffusion-v1-5 are also compatible but they might be less performant.

Tip

Make sure to check out the Stable Diffusion 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, Runway, and Stability AI Hub organizations!

StableDiffusionInpaintPipeline

autodoc StableDiffusionInpaintPipeline - all - call - enable_attention_slicing - disable_attention_slicing - enable_xformers_memory_efficient_attention - disable_xformers_memory_efficient_attention - load_textual_inversion - load_lora_weights - save_lora_weights

StableDiffusionPipelineOutput

autodoc pipelines.stable_diffusion.StableDiffusionPipelineOutput