🎨 Object Fusion Pipeline

🌟 Motivation

Have you ever fantasized about crafting a single masterpiece from elements of different photos? 😲 What if I told you that manually prompting each object's shape, color, and features for diffusion could be a thing of the past? And let’s be real, using GPT to describe each object step by step can feel like chasing an AI in slow motion. 🐢💤

Here, I introduce a complete pipeline that takes two images as input, allowing you to choose which objects from the images you want to fuse seamlessly.

🚀 Features

• Combine objects from two different images into a single scene.
• Easy selection and customization of objects to be fused.
• Optimized integration with ComfyUI.

🖼️ Some Examples

Click to expand/collapse

🛠️ Installation

1. Clone this repo into the custom_nodes directory in ComfyUI:

   git clone https://github.com/ducido/ObjectFusion_ComfyUI_nodes
   

2. Install the required packages:

   pip install -r myreqs.txt
   

3. Clone these amazing repositories and follow their instructions:

   • ComfyUI-SD3-nodes
     Note: Place the 3 clips model into models/clip.
   • img2txt-comfyui-nodes
   • ComfyUI-Custom-Scripts

📌 Note

All the folders, except CROP_OBJECT, are from other repositories. However, I have made some minor modifications to fit this project. Here are the details:

• Custom_ComfyUI-YoloWorld-EfficientSAM

  • Added 2 output fields: BBOX, categories.
  • Displayed ID also in the IMAGE output (e.g., {ID} - {class} - {confidence}).

• comfyui-llm-assistant

  • Removed input field: prompt.
  • Added 4 input fields: object1, desc_obj1, object2, desc_obj2.

🤝 Contributing

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

📄 License

This project is licensed under the MIT License.