Update README.md

README.md

@@ -45,13 +45,20 @@ Special thanks to my teammate euge for the coding work, and we're grateful for t
 
 ## Method I: [reForge](https://github.com/Panchovix/stable-diffusion-webui-reForge/tree/dev_upstream)
 
-1. Install reForge by following the instructions in the repository;
-2. Switch to `dev_upstream_experimental` branch by running `git checkout dev_upstream_experimental`;
-3. Launch reForge WebUI;
-4. Find "_Advanced Model Sampling for Forge_" accordion at the bottom of the "_txt2img_" tab;
-5. Enable "_Enable Advanced Model Sampling_";
-6. Select "_v_prediction_" in the "_Discrete Sampling Type_" checkbox group.
-7. Generate images!
+1. (If you haven't installed reForge) Install reForge by following the instructions in the repository;
+2. Switch to `dev_upstream` branch:
+
+```bash
+git checkout dev_upstream
+```
+
+3. Update reforge:
+
+```bash
+git pull
+```
+
+4. Launch WebUI and use the model as usual!
 
 ## Method II: [ComfyUI](https://github.com/comfyanonymous/ComfyUI)
 
@@ -64,12 +71,7 @@ SAMLPLE with NODES
 
 Note that dev branch is not stable and **may contain bugs**.
 
-1. (If you haven't installed WebUI) Clone the repository:
-
-```bash
-git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui
-```
-
+1. (If you haven't installed WebUI) Install WebUI by following the instructions in the repository. For simp
 2. Switch to `dev` branch:
 
 ```bash
@@ -82,7 +84,7 @@ git switch dev
 git pull
 ```
 
-4. Launch WebUI and use the model as usual.
+4. Launch WebUI and use the model as usual!
 
 ## Method IV: [Diffusers](https://huggingface.co/docs/diffusers/en/index)
 
@@ -176,6 +178,7 @@ Our ultimate goal is to ensure that quality tags effectively track user preferen
 
 | Tag             | Description                                                                                                                                                                                                       |
 | :-------------- | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+
 | very awa        | Top 5% of images in terms of aesthetic score by [waifu-scorer](https://huggingface.co/Eugeoter/waifu-scorer-v4-beta)                                                                                              |
 | worst aesthetic | All the bottom 5% of images in terms of aesthetic score by [waifu-scorer](https://huggingface.co/Eugeoter/waifu-scorer-v4-beta) and [aesthetic-shadow-v2](https://huggingface.co/shadowlilac/aesthetic-shadow-v2) |
 | ...             | ...                                                                                                                                                                                                               |