Doubutsu Image Describer for ComfyUI

This custom node for ComfyUI allows you to use the Doubutsu small VLM model to describe images. Credit and further information on Doubutsu: https://huggingface.co/qresearch/doubutsu-2b-pt-756

Installation

1. Clone this repository into your ComfyUI's custom_nodes directory: git clone https://github.com/EnragedAntelope/comfyui-doubutsu-describer.git
2. Install the required dependencies: pip install -r requirements.txt
3. Download the model files:
   • Create a models directory in the root of this repository (ComfyUI\custom_nodes\ComfyUI-Doubutsu-Describer).
   • Download the model files for "qresearch/doubutsu-2b-pt-756" from Hugging Face and place them in models/qresearch/doubutsu-2b-pt-756/.
   • Download the adapter files for "qresearch/doubutsu-2b-lora-756-docci" and place them in models/qresearch/doubutsu-2b-lora-756-docci/.

You can download these files manually from the Hugging Face website or use the Hugging Face CLI:

Open a command prompt, navigate to your ComfyUI\custom_nodes\ComfyUI-Doubutsu-Describer directory, then execute:

huggingface-cli download qresearch/doubutsu-2b-pt-756 --local-dir models/qresearch/doubutsu-2b-pt-756

huggingface-cli download qresearch/doubutsu-2b-lora-756-docci --local-dir models/qresearch/doubutsu-2b-lora-756-docci

4. Restart ComfyUI

Usage

After installation, you'll find a new node called "Doubutsu Image Describer" in the "image/text" category. Connect an image to its input, and it will generate a description based on the provided question.

Parameters

• image: The input image to describe
• question: The question to ask about the image (default: "Describe the image")
• max_new_tokens: Maximum number of tokens to generate (default: 128)
• temperature: Controls randomness in generation (default: 0.1)
• precision: Choose between float16 or bfloat16 for inference. If your GPU supports it, bfloat16 should be quicker.

License

[Apache 2.0]