Qwen-Image-Edit-based Garment Replacement Operation Guide
The following key steps need to be taken to achieve accurate garment replacement results:
- Image Preprocessing::
- Ensure that full body shots of people are evenly lit
- There should be a significant color difference between the original clothing and the background
- We recommend using photos with a resolution higher than 1024px. - Command Construction Techniques::
A three-level command structure works best:
1. Subject positioning: "The woman in the red dress in the picture"
2. Request for revision: "Replace dress with professional suit"
3. Detail added: "Keep the pleated texture and the neckline in a V-shape" - parameter optimization::
- true_cfg_scale is set to 5-7 to enhance detail retention.
- num_inference_steps suggests 60-80 steps
- Add negative prompts such as "fuzzy borders, unnatural seams". - effect modification::
If the first results are unsatisfactory, incremental modifications may be used:
Round 1: "Swap T-shirts for shirts"
Round 2: "Adding a Blue Stripe to a Shirt"
This answer comes from the articleQwen-Image-Edit: an AI model for editing images based on textual commandsThe
May not be reproduced without permission:AI productivity tools " How to achieve accurate clothing replacement for people in social media photos?
