ComfyUI ExLlama Nodes
A simple prompt generator for ComfyUI utilizing ExLlama.
Installation
Clone the repository to custom_nodes in your ComfyUI directory and install dependencies:
git clone https://github.com/Zuellni/ComfyUI-ExLlama-Nodes
pip install -r requirements.txt
If you see any ExLlama errors while loading, install it manually from here.
For example, on Windows with Python 3.10 and CUDA 11.7:
pip install https://github.com/turboderp/exllamav2/releases/download/v0.0.4/exllamav2-0.0.4+cu117-cp310-cp310-win_amd64.whl
Nodes
| Name | Description |
|---|---|
| Loader | Loads GPTQ/EXL2 Llama models. You can find a lot of them on Hugging Face. Clone the model repository or download all the files 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 the model to RAM. |
| Generator | Generates a string based on the given prompt for use with other nodes.Default values correspond to the simple-1 preset from text-generation-webui.ExLlama isn't deterministic, so the outputs may differ even with the same seed. |
| Previewer | Displays generated outputs in the UI and appends them to workflow metadata. |
Workflow
The workflow below can be opened in ComfyUI. Peak VRAM usage with SDXL around 10GB.
Model: MythoLogic-Mini-7B-GPTQ.