From 9917c329165e39fd05c404ada6beea97c8fa0e18 Mon Sep 17 00:00:00 2001 From: Brandon Date: Sat, 27 May 2023 03:10:32 +0800 Subject: [PATCH] [docs] update the broken links (#3568) update the broken links update the broken links for training folder doc --- docs/source/en/tutorials/basic_training.mdx | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/docs/source/en/tutorials/basic_training.mdx b/docs/source/en/tutorials/basic_training.mdx index 52ce7c71fa..99221274f7 100644 --- a/docs/source/en/tutorials/basic_training.mdx +++ b/docs/source/en/tutorials/basic_training.mdx @@ -407,9 +407,9 @@ Once training is complete, take a look at the final 🦋 images 🦋 generated b ## Next steps -Unconditional image generation is one example of a task that can be trained. You can explore other tasks and training techniques by visiting the [🧨 Diffusers Training Examples](./training/overview) page. Here are some examples of what you can learn: +Unconditional image generation is one example of a task that can be trained. You can explore other tasks and training techniques by visiting the [🧨 Diffusers Training Examples](../training/overview) page. Here are some examples of what you can learn: -* [Textual Inversion](./training/text_inversion), an algorithm that teaches a model a specific visual concept and integrates it into the generated image. -* [DreamBooth](./training/dreambooth), a technique for generating personalized images of a subject given several input images of the subject. -* [Guide](./training/text2image) to finetuning a Stable Diffusion model on your own dataset. -* [Guide](./training/lora) to using LoRA, a memory-efficient technique for finetuning really large models faster. +* [Textual Inversion](../training/text_inversion), an algorithm that teaches a model a specific visual concept and integrates it into the generated image. +* [DreamBooth](../training/dreambooth), a technique for generating personalized images of a subject given several input images of the subject. +* [Guide](../training/text2image) to finetuning a Stable Diffusion model on your own dataset. +* [Guide](../training/lora) to using LoRA, a memory-efficient technique for finetuning really large models faster.