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README.md

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 # ComfyUI-GGUF
 GGUF Quantization support for native ComfyUI models
+
+This is currently very much WIP. These custom nodes provide support for model files stored in the GGUF format popularized by [llama.cpp](https://github.com/ggerganov/llama.cpp).
+
+While quantization wasn't feasible for regular UNET models (conv2d), transformer/DiT models such as flux seem less affected by quantization. This allows running it in much lower bits per weight variable bitrate quants on low-end GPUs.
+
+![Comfy_Flux1_dev_Q4_0_GGUF_1024](https://github.com/user-attachments/assets/23150750-bcb6-49ef-a78f-9c814528a640)
+
+## Installation
+
+To install the custom node, clone it to your custom_nodes ComfyUI folder using the following command:
+
+```
+git clone https://github.com/city96/ComfyUI-GGUF custom_nodes/ComfyUI-GGUF
+```
+
+To install the required `gguf` python package on the standalone ComfyUI, use the following:
+```
+.\python_embeded\python.exe -s -m pip install -r .\ComfyUI\custom_nodes\ComfyUI-GGUF\requirements.txt
+```
+
+## Usage
+
+Simply use the GGUF Unet loader found under the `bootleg` category. You can find [pre-quantized models for flux1-dev here](https://huggingface.co/city96/FLUX.1-dev-gguf) - place these in your `ComfyUI/models/unet` folder.