From c5e54c200ac3502d38a29abcf719867e0b76e5e0 Mon Sep 17 00:00:00 2001 From: milyiyo Date: Wed, 15 Jun 2022 20:23:27 -0400 Subject: [PATCH] Fix some little typos --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index cbbd973b..a8a2ca80 100644 --- a/README.md +++ b/README.md @@ -47,7 +47,7 @@ The class provides functionality to compute previous image according to alpha, b ## Philosophy -- Readability and clarity is prefered over highly optimized code. A strong importance is put on providing readable, intuitive and elementary code desgin. *E.g.*, the provided [schedulers](https://github.com/huggingface/diffusers/tree/main/src/diffusers/schedulers) are separated from the provided [models](https://github.com/huggingface/diffusers/tree/main/src/diffusers/models) and provide well-commented code that can be read alongside the original paper. +- Readability and clarity is prefered over highly optimized code. A strong importance is put on providing readable, intuitive and elementary code design. *E.g.*, the provided [schedulers](https://github.com/huggingface/diffusers/tree/main/src/diffusers/schedulers) are separated from the provided [models](https://github.com/huggingface/diffusers/tree/main/src/diffusers/models) and provide well-commented code that can be read alongside the original paper. - Diffusers is **modality independent** and focusses on providing pretrained models and tools to build systems that generate **continous outputs**, *e.g.* vision and audio. - Diffusion models and schedulers are provided as consise, elementary building blocks whereas diffusion pipelines are a collection of end-to-end diffusion systems that can be used out-of-the-box, should stay as close as possible to their original implementation and can include components of other library, such as text-encoders. Examples for diffusion pipelines are [Glide](https://github.com/openai/glide-text2im) and [Latent Diffusion](https://github.com/CompVis/latent-diffusion). @@ -174,7 +174,7 @@ image_pil = PIL.Image.fromarray(image_processed[0]) image_pil.save("test.png") ``` -### 2. `diffusers` as a collection of popula Diffusion systems (GLIDE, Dalle, ...) +### 2. `diffusers` as a collection of popular Diffusion systems (GLIDE, Dalle, ...) For more examples see [pipelines](https://github.com/huggingface/diffusers/tree/main/src/diffusers/pipelines).