ComfyUI-joycaption-beta-one-GGUF

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ComfyUI-joycaption-beta-one-GGUF

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ComfyUI-joycaption-beta-one-GGUF Node for ComfyUI

ComfyUI-joycaption-beta-one-GGUF 최신버젼 다운로드

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# ComfyUI JoyCaption-Beta-GGUF Node

This project provides a node for ComfyUI to use the JoyCaption-Beta model in GGUF format for image captioning.

[中文版说明](README-ZH.md)

**Acknowledgments:**

This node is based on [fpgaminer/joycaption_comfyui](https://github.com/fpgaminer/joycaption_comfyui), with modifications to support the GGUF model format.

Thanks to the [LayerStyleAdvance](https://github.com/chflame163/ComfyUI_LayerStyle_Advance), I copied the relevant code for extra options from it.

**20250802-Update:**

Due to the difficulty of installing the GPU version of llama-cpp-python, I have uploaded the model to Ollama. You can now use it by installing [Ollama](https://ollama.com/) and [comfyui-ollama](https://github.com/stavsap/comfyui-ollama). Model link: https://ollama.com/aha2025/llama-joycaption-beta-one-hf-llava  Meanwhile, I've separated the prompt template into a standalone node. For details, please check the [ComfyUI JoyCaption-Beta-GGUF](https://github.com/judian17/ComfyUI-JoyCaption-beta-one-hf-llava-Prompt_node).

## Usage

### Installation

This node requires `llama-cpp-python` to be installed.

**Important:**

* Installing with `pip install llama-cpp-python` will only enable CPU inference.
* To utilize NVIDIA GPU acceleration, install with the following command:
    ```bash
    pip install llama-cpp-python --extra-index-url https://abetlen.github.io/llama-cpp-python/whl/cu124
    ```
    *(Adjust `cu124` according to your CUDA version)*
* For non-NVIDIA GPUs or other installation methods, please refer to the official `llama-cpp-python` documentation:
    [https://llama-cpp-python.readthedocs.io/en/latest/](https://llama-cpp-python.readthedocs.io/en/latest/)

`llama-cpp-python` is not listed in `requirements.txt` to allow users to manually install the correct version with GPU support.

### Workflow Example

You can view an example workflow image at `assets/example.png`.

![Workflow Example](https://raw.githubusercontent.com/judian17/ComfyUI-joycaption-beta-one-GGUF/main/assets/example.png)

### Model Download and Placement

You need to download the JoyCaption-Beta GGUF model and the corresponding mmproj model.

1.  Download the models from the following Hugging Face repositories:
    * **Main Model (Recommended):** [concedo/llama-joycaption-beta-one-hf-llava-mmproj-gguf](https://huggingface.co/concedo/llama-joycaption-beta-one-hf-llava-mmproj-gguf/tree/main)
        * Download the relevant `joycaption-beta` model files and the `llama-joycaption-beta-one-llava-mmproj-model-f16.gguf` file.
    * **Other Quantized Versions:** [mradermacher/llama-joycaption-beta-one-hf-llava-GGUF](https://huggingface.co/mradermacher/llama-joycaption-beta-one-hf-llava-GGUF/tree/main)
    * **IQ Quantized Version (Theoretically higher quality, potentially slower on CPU):** [mradermacher/llama-joycaption-beta-one-hf-llava-i1-GGUF](https://huggingface.co/mradermacher/llama-joycaption-beta-one-hf-llava-i1-GGUF/tree/main)

2.  Place the downloaded model files into the `models\llava_gguf\` folder within your ComfyUI installation directory.

### Video Tutorial

You can refer to the following Bilibili video tutorial for setup and usage:

[Video](https://www.bilibili.com/video/BV1JKJgzZEgR/)

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