From 8df21bc293fcd974ed6dcc66dcc6996443ff00b9 Mon Sep 17 00:00:00 2001 From: Jithin James Date: Tue, 13 Sep 2022 23:18:13 +0530 Subject: [PATCH] fix: bocken doc links for relative links --- docs/source/quicktour.mdx | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/docs/source/quicktour.mdx b/docs/source/quicktour.mdx index fe71fac1797c..286d9392aaeb 100644 --- a/docs/source/quicktour.mdx +++ b/docs/source/quicktour.mdx @@ -114,7 +114,7 @@ Running the pipeline is then identical to the code above as it's the same model >>> image.save("image_of_squirrel_painting.png") ``` -Diffusion systems can be used with multiple different [schedulers]("api/schedulers") each with their +Diffusion systems can be used with multiple different [schedulers](./api/schedulers) each with their pros and cons. By default, Stable Diffusion runs with [`PNDMScheduler`], but it's very simple to use a different scheduler. *E.g.* if you would instead like to use the [`LMSDiscreteScheduler`] scheduler, you could use it as follows: @@ -131,15 +131,15 @@ you could use it as follows: [Stability AI's](https://stability.ai/) Stable Diffusion model is an impressive image generation model and can do much more than just generating images from text. We have dedicated a whole documentation page, -just for Stable Diffusion [here]("./conceptual/stable_diffusion"). +just for Stable Diffusion [here](./conceptual/stable_diffusion). If you want to know how to optimize Stable Diffusion to run on less memory, higher inference speeds, on specific hardware, such as Mac, or with [ONNX Runtime](https://onnxruntime.ai/), please have a look at our optimization pages: -- [Optimized PyTorch on GPU]("./optimization/fp16") -- [Mac OS with PyTorch]("./optimization/mps") -- [ONNX]("./optimization/onnx) -- [OpenVINO]("./optimization/open_vino) +- [Optimized PyTorch on GPU](./optimization/fp16) +- [Mac OS with PyTorch](./optimization/mps) +- [ONNX](./optimization/onnx) +- [OpenVINO](./optimization/open_vino) If you want to fine-tune or train your diffusion model, please have a look at the [**training section**](./training/overview)