ComfyUI-AutoLabel is a custom node for ComfyUI that uses BLIP (Bootstrapping Language-Image Pre-training) to generate detailed descriptions of the main object in an image. This node leverages the power of BLIP to provide accurate and context-aware captions for images.

• Image to Text Description: Generate detailed descriptions of the main object in an image.
• Customizable Prompts: Provide your own prompt to guide the description generation.
• Flexible Inference Modes: Supports GPU, GPU with float16, and CPU inference modes.
• Offline Mode: Option to download and use models offline.

1. Clone the Repository: Clone this repository into your custom_nodes folder in ComfyUI.

   git clone https://github.com/fexploit/ComfyUI-AutoLabel custom_nodes/ComfyUI-AutoLabel

2. Install Dependencies: Navigate to the cloned folder and install the required dependencies.

   cd custom_nodes/ComfyUI-AutoLabel
   pip install -r requirements.txt

1. Start ComfyUI.
2. Add the AutoLabel node from the custom nodes list.
3. Connect an image input and configure the parameters as needed.

• image (required): The input image tensor.
• prompt (optional): A string to guide the description generation (default: "a photography of").
• repo_id (optional): The Hugging Face model repository ID (default: "Salesforce/blip-image-captioning-base").
• inference_mode (optional): The inference mode, can be "gpu_float16", "gpu", or "cpu" (default: "gpu").
• get_model_online (optional): Boolean flag to download the model online if not already present (default: True).

Contributions are welcome! Please open an issue or submit a pull request with your changes.

This project is licensed under the MIT License.

• ComfyUI
• BLIP

For any inquiries, please open an issue on the GitHub repository.