diff --git a/README.md b/README.md
index e7e5f35..85c36f9 100644
--- a/README.md
+++ b/README.md
@@ -1,17 +1,17 @@
-# ExLlama nodes for ComfyUI
+# ComfyUI ExLlama Nodes
A simple prompt generator for [ComfyUI](https://github.com/comfyanonymous/ComfyUI) utilizing [ExLlama](https://github.com/turboderp/exllama).
## Installation
-Clone the repository to `custom_nodes` in your ComfyUI directory and install dependencies:
+Clone the repository to `custom_nodes` in your ComfyUI directory and install the dependencies:
```
git clone https://github.com/Zuellni/ComfyUI-ExLlama-Nodes
python -m pip install -r requirements.txt
```
-Next, install the latest pre-built ExLlama wheel from [here](https://github.com/jllllll/exllama/releases/latest).
+Next, install the latest pre-built ExLlama wheel from https://github.com/jllllll/exllama/releases/latest.
Choose the version matching your platform, Python, and PyTorch CUDA/ROCm.
-Example for Windows with Python 3.10 and CUDA 11.8 which should match the portable ComfyUI build:
+Example for Windows with Python 3.10 and CUDA 11.8, which should match the portable ComfyUI build:
```
python -m pip install https://github.com/jllllll/exllama/releases/download/0.0.17/exllama-0.0.17+cu118-cp310-cp310-win_amd64.whl
```
@@ -19,11 +19,11 @@ python -m pip install https://github.com/jllllll/exllama/releases/download/0.0.1
## Nodes
Name | Description
:--- | :---
-Loader | Loads 4-bit GPTQ Llama/2 models. You can find a lot of them on [Hugging Face](https://huggingface.co/TheBloke).
Clone the model repository or download all the files in it to an empty directory, then point to it in `model_dir`. The `model.safetensors` file won't work on its own.
ExLlama allocates memory based on `max_seq_len`. Lowering it is a good way to save on VRAM. It's currently not possible to [offload](https://github.com/turboderp/exllama/issues/177) the model to RAM.
-Generator | Returns a `string` based on the given `prompt` for use with other nodes. Default values correspond to the `simple-1` preset from [text-generation-webui](https://github.com/oobabooga/text-generation-webui). ExLlama isn't [deterministic](https://github.com/turboderp/exllama/issues/201), so the outputs may differ even with the same seed.
To load a LoRA specify its directory in `lora_dir`. It should contain `adapter_model.bin` and `adapter_config.json`.
+Loader | Loads 4-bit GPTQ Llama/2 models. You can find a lot of them on [Hugging Face](https://huggingface.co/TheBloke).
Clone the model repository or download all the files in it and place them in an empty directory, then specify the path in `model_dir`. The `model.safetensors` file won't work on its own.
ExLlama allocates memory based on `max_seq_len`. Lowering it is a good way to save on VRAM. It's currently not possible to [offload](https://github.com/turboderp/exllama/issues/177) the model to RAM.
+Generator | Returns a `string` based on the given `prompt` for use with other nodes. Default values correspond to the `simple-1` preset from [text-generation-webui](https://github.com/oobabooga/text-generation-webui). ExLlama isn't [deterministic](https://github.com/turboderp/exllama/issues/201), so the outputs may differ slightly even with the same seed.
To load a LoRA specify the path to its directory in `lora_dir`. It should contain `adapter_model.bin` and `adapter_config.json`.
Previewer | Displays generated outputs in the UI.
## Workflow
-Can be loaded directly in ComfyUI. Model used: [MythoLogic-Mini-7B](https://huggingface.co/TheBloke/MythoLogic-Mini-7B-GPTQ).
+The workflow below can be loaded directly in ComfyUI. Model used: [MythoLogic-Mini-7B](https://huggingface.co/TheBloke/MythoLogic-Mini-7B-GPTQ).
