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Comfyui Object Migration
Overview :
Comfyui_Object_Migration is an experimental project focused on the Stable Diffusion (SD) model. This project achieves high consistency of the same object or character in a single generated image through the self-attention abilities of the DIT model. It has developed an efficient migration method by simplifying preprocessing logic, enabling the model to focus on the desired content and providing remarkable consistency. A migration model for clothing has been developed, allowing transitions from cartoon-style clothing to real-world styles or vice versa, stimulating design creativity through weight control.
Target Users :
The target audience consists of professionals and enthusiasts in fields such as image processing, AI art creation, and fashion design. This project is suitable for them as it offers an innovative approach to processing and migrating specific objects within images, especially in the fashion domain, inspiring new design ideas and creative insights.
Use Cases
Use this model to transition a cartoon character's clothing style to a real-world style
Transition the clothing style of a real person to a cartoon style for animation production
In the field of fashion design, control the similarity of garments through the model to inspire new design ideas
Features
Achieve stunning consistency in clothing migration effects
Support migration from cartoon clothing to real styles or vice versa
Stimulate design creativity through weight control
Provide highly consistent single generated images
Use reference images to generate multiple perspectives of a single character while maintaining high consistency
Simplify preprocessing logic to enhance migration efficiency
How to Use
1. Install ComfyUI and any required custom nodes
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2. Download the Cloth LoRA model from Hugging Face
3. Load the model into ComfyUI
4. Use the provided workflow examples to achieve the desired results
5. Select the appropriate flux version and load the Alimama inpainting model simultaneously
6. Adjust the workflow according to individual needs
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