This Checkpoint may create some wild stuff, very cool stuff and horrible stuff, - but it is so different to all you know. It will be exZITing!
Go wild, go nuts, or just use three words. This model will surprise you with every generation.
I’m a Civitai user since 2022 but never released anything here. But when I was experimenting with Z-Image Turbo and DSA something wonderful happened.
A mistake, a quirk, a human error made this model. It was like a slap in the face, it was like waking up inside a dream, it was completely strange and wonderful.
This model can create unlimited completely different images from your one prompt.
This is why I am posting it here. So you can have fun with it, as I have. It reminds me of the very beginning of stable diffusion, when sometime things went wrong, but sometime something very unexpected came out of a generation.
Have fun again when pressing CRL+Enter. Oh, and it is very uncensored and mostly works with skanky stuff. Also works pretty well with loras.
Post your crazy results here, if you want to share your pleasure.
Infos you may need:
CFG: 1
Res: All (I use mostly 1216 x 1536 or 1024 x 1536)
Sampler: What you wish. Best sharpenss with dpmpp_2s_a
Scheduler: Most of them but I use Beta
10 Steps
Clip Skip -2 (also optional)
All examples are direct creations, without 2nd pass or upsampling.
More Information about the model and some tips:
The base model has been trained on about 8000 hand selected images, ~1500 are full text trained and captioned by quen3-vl-8b. All others are trained on WD14 Tags. This makes the base turbo model accepting simple prompts, and it works far better then I thought it is possible. In the beginning everything nude was horribly wrong, but got better and better as the training went on. the training data is a wild mix of images, but most contain people. The model was trained to 1000's of poses, body shapes and body positions. you will see an unreal amounts of variety with a simple prompt like: "A woman is doing a pose for a photo.", - try it (it might go also horribly wrong some times). The injection of DSA at .6 strength helps the model to make sense from the pose, but sometimes it fails. But often it works very well to do even the most complicated body "dislocations". "A woman is posing for a photo."; might do less extreme or silly poses.
Since the data contains nudes and the model does not understand NSFW or SFW, you may need to use: "A woman is posing for a photo, wearing clothes." If you want less Asian looking women you can try "A blonde woman is posing for a photo, wearing clothes.", the hair color steers the model extremely unfortunately. What also works is: "A caucasian woman is posing for a photo, wearing clothes.", but you probably know the jazz already.