From 93ea8e1641ccb35bd56e18daf0996dbe4b8d5ba7 Mon Sep 17 00:00:00 2001 From: wy-luke Date: Wed, 11 Oct 2023 18:48:10 +0800 Subject: [PATCH] docs: update docs --- README.md | 8 ++++---- README_CN.md | 8 ++++---- 2 files changed, 8 insertions(+), 8 deletions(-) diff --git a/README.md b/README.md index 9dc7151..7f296b9 100644 --- a/README.md +++ b/README.md @@ -96,13 +96,15 @@ PYTORCH_MPS_HIGH_WATERMARK_RATIO=0.5 /bin/bash $HOME/stable-diffusion-webui/webu Place the models downloaded to `stable-diffusion-webui/models/Stable-diffusion` folder. Then refresh the Stable Diffusion web UI page in the browser and you will see it in the list. -1. Some popular official Stable Diffusion 1.x models: +1. You could download all kinds of models in [Civitai](https://civitai.com/), a great site! + +2. Some popular official Stable Diffusion 1.x models: - [Stable DIffusion 1.4](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original) ([sd-v1-4.ckpt](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original/resolve/main/sd-v1-4.ckpt)) - [Stable Diffusion 1.5](https://huggingface.co/runwayml/stable-diffusion-v1-5) ([v1-5-pruned-emaonly.ckpt](https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.ckpt)) - [Stable Diffusion 1.5 Inpainting](https://huggingface.co/runwayml/stable-diffusion-inpainting) ([sd-v1-5-inpainting.ckpt](https://huggingface.co/runwayml/stable-diffusion-inpainting/resolve/main/sd-v1-5-inpainting.ckpt)) -2. Stable Diffusion 2.0 and 2.1 models: +3. Stable Diffusion 2.0 and 2.1 models: - [Stable Diffusion 2.0](https://huggingface.co/stabilityai/stable-diffusion-2) ([768-v-ema.ckpt](https://huggingface.co/stabilityai/stable-diffusion-2/resolve/main/768-v-ema.ckpt)) - [Stable Diffusion 2.1](https://huggingface.co/stabilityai/stable-diffusion-2-1) ([v2-1_768-ema-pruned.ckpt](https://huggingface.co/stabilityai/stable-diffusion-2-1/resolve/main/v2-1_768-ema-pruned.ckpt)) @@ -117,8 +119,6 @@ Place the models downloaded to `stable-diffusion-webui/models/Stable-diffusion` Download the `v2-midas-inference.yaml` configuration file by holding down option on the keyboard and clicking [here](https://github.com/Stability-AI/stablediffusion/raw/main/configs/stable-diffusion/v2-midas-inference.yaml), then rename it with the `.yaml` extension in the same way as mentioned above and put it in `stable-diffusion-webui/models/Stable-diffusion` along with the model. Note that this model works at image dimensions of 512 width/height or higher instead of 768. -3. You could also download all kinds of models in [civitai](https://civitai.com/), a great site! - ## Features 1. Use [Homebrew](https://brew.sh/) to install required dependencies. If you already have it installed, it will be used automatically. If not, it will be installed for you, but without modifying your system environment – your system will remain unchanged. diff --git a/README_CN.md b/README_CN.md index 9d5af87..da3fd9a 100644 --- a/README_CN.md +++ b/README_CN.md @@ -110,13 +110,15 @@ PYTORCH_MPS_HIGH_WATERMARK_RATIO=0.5 /bin/bash $HOME/stable-diffusion-webui/webu 将下载的模型放置到 `stable-diffusion-webui/models/Stable-diffusion` 文件夹中。然后在浏览器中刷新 Stable Diffusion web UI 页面，就可以在模型列表中看到它。 -1. 一些流行的官方 Stable Diffusion 1.x 模型： +1. 可以在 [Civitai](https://civitai.com/) 下载各种风格的模型，必备网站！ + +2. 一些流行的官方 Stable Diffusion 1.x 模型： - [Stable Diffusion 1.4](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original) ([sd-v1-4.ckpt](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original/resolve/main/sd-v1-4.ckpt)) - [Stable Diffusion 1.5](https://huggingface.co/runwayml/stable-diffusion-v1-5) ([v1-5-pruned-emaonly.ckpt](https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.ckpt)) - [Stable Diffusion 1.5 Inpainting](https://huggingface.co/runwayml/stable-diffusion-inpainting) ([sd-v1-5-inpainting.ckpt](https://huggingface.co/runwayml/stable-diffusion-inpainting/resolve/main/sd-v1-5-inpainting.ckpt)) -2. Stable Diffusion 2.0 和 2.1 模型： +3. Stable Diffusion 2.0 和 2.1 模型： - [Stable Diffusion 2.0](https://huggingface.co/stabilityai/stable-diffusion-2) ([768-v-ema.ckpt](https://huggingface.co/stabilityai/stable-diffusion-2/resolve/main/768-v-ema.ckpt)) - [Stable Diffusion 2.1](https://huggingface.co/stabilityai/stable-diffusion-2-1) ([v2-1_768-ema-pruned.ckpt](https://huggingface.co/stabilityai/stable-diffusion-2-1/resolve/main/v2-1_768-ema-pruned.ckpt)) @@ -131,8 +133,6 @@ PYTORCH_MPS_HIGH_WATERMARK_RATIO=0.5 /bin/bash $HOME/stable-diffusion-webui/webu 通过按住键盘上的 Option 键并单击[这里](https://github.com/Stability-AI/stablediffusion/raw/main/configs/stable-diffusion/v2-midas-inference.yaml)下载 `v2-midas-inference.yaml` 配置文件，然后按照上述方式以 `.yaml` 结尾的方式重命名它，并与模型放在 `stable-diffusion-webui/models/Stable-diffusion` 文件夹中。请注意，此模型适用于图像尺寸的宽度/高度为 512 或更高，而不是 768。 -3. 你还可以在 [civitai](https://civitai.com/) 下载各种类型的模型，这是一个很棒的网站！ - ## 脚本优势 1. 使用 [Homebrew](https://brew.sh/) 来安装所需的依赖。如果已经安装，将会自动使用；如果没有，将会自动安装，但不会修改你的系统环境，你的系统将保持不变。