# Pipelines

- [Passing in custom arguments](https://flush-ai.gitbook.io/automatic-1111-sdk/pipelines/passing-in-custom-arguments.md)
- [Stable Diffusion XL](https://flush-ai.gitbook.io/automatic-1111-sdk/pipelines/stable-diffusion-xl.md)
- [Text-to-Image](https://flush-ai.gitbook.io/automatic-1111-sdk/pipelines/text-to-image.md)
- [Image-to-Image](https://flush-ai.gitbook.io/automatic-1111-sdk/pipelines/image-to-image.md)
- [Inpainting](https://flush-ai.gitbook.io/automatic-1111-sdk/pipelines/inpainting.md)
- [Outpainting](https://flush-ai.gitbook.io/automatic-1111-sdk/pipelines/outpainting.md)
- [Upscaler Pipelines](https://flush-ai.gitbook.io/automatic-1111-sdk/pipelines/upscaler-pipelines.md)
- [Stable Diffusion Upscale](https://flush-ai.gitbook.io/automatic-1111-sdk/pipelines/stable-diffusion-upscale.md)
- [Setting a custom VAE](https://flush-ai.gitbook.io/automatic-1111-sdk/pipelines/setting-a-custom-vae.md)
- [ControlNet](https://flush-ai.gitbook.io/automatic-1111-sdk/pipelines/controlnet.md): We now have ControlNet support on Auto1111SDK from the extension. ControlNet can be added to the original Stable Diffusion model to generate images to greatly customize the generation process.


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