Qwen-Edit Try-On Lora (Alpha version)

This is an alpha version Lora that is trained to perform multi-reference try-on editing with Qwen Image Edit.

  • Model type: LoRA for Qwen Image Edit
  • Use case: Multi-reference clothing try-on
  • Input format: One top image (subject) + multiple bottom images (garments). For best results, use garment images that are high quality, and full body-shots for the subject.
  • Output format: Stylized subject wearing all garments from bottom row

find us on Discord: https://discord.gg/UXN7zFuxbk

Examples:

Model Preview 1 Model Preview 2 Model Preview 3

Usage

For usage within ComfyUI using the provided workflow. Recommended settings are 30 steps, with 2.5 CFG using Euler sampler and Simple scheduler.

:warning: Warning: Both the 4-steps and 8-steps lightning lora’s did not perform well with the Try-On lora. I would recommend using it without low step lora's for now.

832x1248 is the recommended resolution used. If you would like to use a different one please use one of the reccomended resolutions below provided by Qwen:

(672, 1568),
(688, 1504),
(720, 1456),
(752, 1392),
(800, 1328),
(832, 1248),
(880, 1184),
(944, 1104),
(1024, 1024),
(1104, 944),
(1184, 880),
(1248, 832),
(1328, 800),
(1392, 752),
(1456, 720),
(1504, 688),
(1568, 672),

Limitations

  • Only trained/tested on multi-garment try-on tasks.
  • May not generalize to unrelated image editing tasks.
  • Requires careful prompt alignment (see below).
  • Struggles with 5 or more garments (more training required)

Example Prompts

  • For Woman:
    "Style the woman in the top of the image, with every article of clothing on the bottom"

  • For Man:
    "Style the man in the top of the image, with every article of clothing on the bottom"


Training Details


Donations

We’re working toward a scaled-up V2 of this project, with expanded capabilities and larger dataset/compute requirements. Your support helps make this possible:

  • Ko-fi
  • BTC Address: bc1qnqa7ufcw4f7cp8pzahd8jlut0ve2trq4c7t75h
  • ETH Address: 0x596A4Bd554337d9D1FfbA6AA346f847CE942f945
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