58 lines
2.5 KiB
Markdown
58 lines
2.5 KiB
Markdown
# 🎨 Object Fusion Pipeline
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## 🌟 Motivation
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Have you ever wanted different objects from different photos to appear in one scene? Manually prompting for Diffusion can be time-consuming as it requires describing the details (shape, color, textual features) of the objects. Alternatively, using GPT to describe the object for us involves multiple steps.
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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.
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## 🚀 Features
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- Combine objects from two different images into a single scene.
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- Easy selection and customization of objects to be fused.
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- Optimized integration with ComfyUI.
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## 🖼️ Some Examples
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<details>
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<summary>Click to expand/collapse</summary>
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</details>
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## 🛠️ Installation
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1. Clone this repo into the `custom_nodes` directory in [ComfyUI](https://github.com/comfyanonymous/ComfyUI):
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```bash
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git clone https://github.com/your-repo/custom_nodes
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```
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2. Install the required packages:
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```bash
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pip install -r myreqs.txt
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```
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3. Clone these amazing repositories and follow their instructions:
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- [ComfyUI-SD3-nodes](https://github.com/liusida/ComfyUI-SD3-nodes)
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_Note: Place the 3 clips model into `models/clip`._
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- [img2txt-comfyui-nodes](https://github.com/christian-byrne/img2txt-comfyui-nodes)
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- [ComfyUI-Custom-Scripts](https://github.com/pythongosssss/ComfyUI-Custom-Scripts)
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## 📌 Note
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_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:_
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- **[Custom_ComfyUI-YoloWorld-EfficientSAM](https://github.com/ZHO-ZHO-ZHO/ComfyUI-YoloWorld-EfficientSAM)**
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- Added 2 output fields: `BBOX`, `categories`.
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- Displayed ID also in the IMAGE output (e.g., `{ID} - {class} - {confidence}`).
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- **[comfyui-llm-assistant](https://github.com/longgui0318/comfyui-llm-assistant)**
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- Removed input field: `prompt`.
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- Added 4 input fields: `object1`, `desc_obj1`, `object2`, `desc_obj2`.
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## 🤝 Contributing
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Contributions are welcome! Please open an issue or submit a pull request.
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## 📄 License
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This project is licensed under the MIT License.
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