This is the Z Image Turbo port of the <a target="_blank" rel="ugc" href="https://civarchive.com/models/2060471/rope-bound-flux">https://civarchive.com/models/2060471/rope-bound-flux</a> and <a target="_blank" rel="ugc" href="https://civarchive.com/models/2145507/rope-bound-qwen">https://civarchive.com/models/2145507/rope-bound-qwen</a>Helps create a person bound with colored ropes, in several positions. The ropes can be around the torso, around the wrists and over the legs of the subject. It can also help create a gag (although a gag LoRA is mostly recommended for that, at least with a low strength).A recommended format for the prompt is :[A person] bound and gagged [position]. [Description of physical appearance].Her arms are bound behind her back with [color] rope. Her wrists are bound. Her torso is bound, [above , below and in between] her breasts. Her legs are bound together at the ankles, the knees and the thighs. She is gagged with [type of gag].[Clothing description]. [Scene elements and settings]Most images in the training set contain:Ropes around the breasts (above and below breasts - a few in between breasts),Ropes binding the ankles and thighs or just above the knees (the word legs also works).View points are supported (side, front, above, and combination).Several gags are within the set, but not enough for the AI to learn gags in detail. But, colored tapes work fine.You can then try cleave gags and cloth gags. For ball gags my samples were less than acceptable. But I would propose, that you need a separate gag LoRA for everything but the tape gag.Now... My own personal review (v1).Z Image Turbo is new for me, so I can't be sure I trained it with correct parameters. I used an online trainer on another site (because I tried several times on civitai and failed) using 100 images (the limit).Sometimes, it works OK, but the Qwen version produces way better images (even with 5 steps and the lightning LoRA). The Flux version is also better. But all these come with a cost, while ZIT is quite "cheap".Try and do send comments.<hr /><hr />Update v2Still needs work. Can produce better results, but still not there...

Rope bound - ZImageTurbo

Second version. 100 images, LR 0.0002, 64/64. Trained 15 epochs, but kept the 13 (15 was overtrained). Captioned with joycaption (and corrected by hand).Still needs work. I believe more input images would make it better, 100 might not be enough.But it can be better than v1.0 at times, so I 'll leave it there. even though I am not happy about it.Start using at 0.7 (and modify accordingly)

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