Creates pose dummy mannequins from reference images.
The intended use case is to use the resulting images as pose references for image generation with e.g. Nano Banana Pro or for LoRA training.
Sample prompt:
Generate a picture of abstract CGI mannequins in the exact same pose as the people in the image. The mannequins should have fingers, toes, and an abstract representation of facial expression. The mannequins do not have any hair. They have perfectly clean gray skin with a black wireframe overlaid on top without any discolorations. The background of the image is a plain featureless middle gray void. Do not include any objects the people in the image may or may not be interacting with.You can get somewhat similar results out of base Qwen-Image-Edit with appropriate prompting, but it is a lot less consistent in my experience.
It seems to work okay with cfg = 1.0 and steps = 20. Higher cfg values can produce better results, but may affect how faithful the result is.
The 8-step Lightning LoRA can also be very viable and often produces cleaner results.
Description
Trained on the exact same dataset as V1 for Qwen-Image-Edit 2509.
I wouldn't necessarily recommend this version if you can run Qwen-Image-Edit because it seems Flux.2 Klein doesn't understand anatomy quite as well as Qwen-Image-Edit does. But it's probably close enough for many purposes.
Sample prompt:
Generate a picture of CGI mannequins in the exact same pose as the people in the image. The mannequins should have fingers, toes, eyes, and a detailed facial expression. The mannequins do not have any hair. They have perfectly clean white skin without any discolorations. The background of the image is a plain featureless shiny black void. Do not include any objects the people in the image may or may not be interacting with. Do not change the people's pose in any way.