From c2d76da33768b60fa0dcc6859c34067d66f00558 Mon Sep 17 00:00:00 2001 From: Patrick von Platen Date: Wed, 15 Jun 2022 11:54:38 +0200 Subject: [PATCH] up --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index c36c298d..a49f2405 100644 --- a/README.md +++ b/README.md @@ -24,7 +24,7 @@ More precisely, 🤗 Diffusers offers: - State-of-the-art diffusion pipelines that can be run in inference with just a couple of lines of code (see [src/diffusers/pipelines](https://github.com/huggingface/diffusers/tree/main/src/diffusers/pipelines)). - Various noise schedulers that can be used interchangeably for the prefered speed vs. quality trade-off in inference (see [src/diffusers/schedulers](https://github.com/huggingface/diffusers/tree/main/src/diffusers/schedulers)). - Multiple types of diffusion models, such as UNet, that can be used as building blocks in an end-to-end diffusion system (see [src/diffusers/models](https://github.com/huggingface/diffusers/tree/main/src/diffusers/models)). -- Training examples to show how to train the most popular diffusion models (see [examples](https://github.com/huggingface/diffusers/tree/main/examples)) +- Training examples to show how to train the most popular diffusion models (see [examples](https://github.com/huggingface/diffusers/tree/main/examples)). ## Definitions