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AI Clothes Remover - Clothing Editor
This ComfyUI workflow removes clothing from a person in an image, using a segmentation model to identify clothing and body areas, flux and redraw nodes for removal, and optional prompts for refinement.
ComfyUI Workflow: AI Clothes Remover – Clothing Editor
This ComfyUI workflow is designed to edit images by removing clothing from a person. It can process both uploaded real photos and AI-generated images, providing a structured approach to achieve a clothes-removed effect.
What it does
- Clothing removal: Systematically removes apparel from a person in an image.
- Flexible input: Works with user-uploaded images or AI-generated subjects.
- Pose and effect enhancement: Uses prompt words to refine the final pose and the visual outcome of the clothing removal.
How it works
- Initial segmentation: A segmentation model isolates the person from the background and delineates clothing and body areas, creating precise masks.
- Targeted removal: Flux and redraw nodes are applied to these generated masks to perform the clothing removal.
- Prompt conditioning: Optional prompt inputs help guide and enhance the pose and the overall visual effect of the removal process.
Quick start in ComfyUI
- Step 1 – Load Image: Begin by uploading the image of the person you wish to edit.
- Step 2 – Declare Modified Part: Use the BBOX and GDino nodes to specify the exact clothing areas intended for removal. You can declare multiple parts if needed.
- Step 3 – Input Prompt (Optional): Provide a prompt only if the results deviate from expectations or require specific artistic control.
- Step 4 – Get Image: Run the workflow to generate the final image with the clothing removed.
Recommended usage
- Precise selection: Carefully define the parts to be removed in the BBOX and GDino nodes for accurate results.
- Minimal prompting: Prompts are generally not required unless fine-tuning or correcting unexpected outcomes is necessary.
Why use this workflow
- Automated process: Streamlines the complex task of clothing removal using a sequence of AI models.
- Controlled editing: Allows specific declaration of areas to be modified, offering precise control over the removal.
- Refinement capability: Offers an optional prompt input for further control over the generated image's pose and aesthetic.
Use cases
- Artistic expression: Create conceptual or artistic images exploring human form.
- Character design: Modify character appearances for various creative projects.
- Privacy-safe rendering: Generate altered versions of images for specific visual studies without original attire.