If you’re looking to create a local text generator using the powerful ComfyUI with ExLlamaV2, you have landed on the right spot. This guide will walk you through the installation process and provide tips on how to effectively use it.
Installation Steps
To get started, you’ll need to clone the repository and install the necessary requirements. Here’s how to do it:
- Navigate to your
custom_nodes
directory:
cd custom_nodes
git clone https://github.com/Zuellni/ComfyUI-ExLlama-Nodes
pip install -r ComfyUI-ExLlama-Nodes/requirements.txt
For Windows users, you’ll need to install wheels for ExLlamaV2 and FlashAttention. Use the following commands:
- Install ExLlamaV2:
pip install exllama-v2-X.X.X+cuXXX.torch2.X.X-cp3XX-cp3XX-win_amd64.whl
pip install flash_attn-X.X.X+cuXXX.torch2.X.X-cp3XX-cp3XX-win_amd64.whl
Usage Guidelines
Once you have set up everything, it’s time to put it to good use. The system supports EXL2, 4-bit GPTQ, and FP16 models, which can be downloaded from Hugging Face. Here’s how you can integrate a model:
- Clone the model repository into your models directory:
cd models
mkdir llm
git clone https://huggingface.co/turboderp/Llama-3.1-8B-Instruct-exl2 -b 4.0bpw
extra_model_paths.yaml
file.Understanding the Nodes
The ExLlama Nodes can be visualized as the individual gears in a beautifully crafted clock. Each gear has a specific role to play in the movement of the clock hands. Similarly, each node contributes to the overall function of generating text:
- Loader: This node loads models from the
llm
directory. - Formatter: Prepares messages using the model’s chat template for a conversational experience.
- Tokenizer: Focuses on processing input text, breaking it down into manageable parts.
- Generator: The star of the show, this node generates text from the input provided.
Workflow Example
An example workflow can help you visualize how these nodes interact within ComfyUI. You can view the example image included in the repository:
Troubleshooting Tips
While setting up or using ComfyUI with ExLlama Nodes, you may run into some common issues:
- Ensure all installations were completed without errors. Re-run the installation commands if necessary.
- Check if the model paths in
extra_model_paths.yaml
are correctly defined. - If loading the model takes too long or fails, reduce the
cache_bits
node’s value, which can help in managing VRAM usage.
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