I trained this model using a dataset composed almost entirely of real-world photography. My goal was to achieve realistic textures and lighting, moving away from the "plastic" look of purely synthetic datasets. While this implies the model isn't technically "perfect" yet, it does a crazy good job at what it was designed for.
✨ Key Features & Usage:
No Hard Trigger Word: You generally don't need a specific trigger word to get results. However, if you want to emphasize the size, simply adding keywords like huge or big will push the model to the limit.
No Body Type Bias: Almost anytime traning a model like this using real data, most of the models should have a natural tendency to generate "chunky" or curvy women, this model besides shouldn't do it. If it does and you prefer a slimmer physique, simply add skinny to your prompt, and it should correct the body type without issues.
Wardrobe Malfunctions: Be aware: if your prompt includes "cleavage," the model has a high probability of generating an areola slip. If this isn't what you're looking for, try rolling a different seed (though personally, I consider it a feature, not a bug 👀).
⚠️ Current Limitations:
Mixed Sizes: I haven't managed to get the model to generate multiple subjects with different sizes in the same image (e.g., one small, one huge) just yet. It tends to average them out.
Future Updates: This is an initial version. I might release a fine-tuned v2 to fix the mixed-size issue, but honestly, I'm pretty lazy, so enjoy this version for now!
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Description
increased the stability and quality of the images, the skin is more detailed and less pale then before and we have some big improvement on the nippl3s quality. this could be the last of the Klein version of this model since i'm quite (not fully) satisfied with the result this models gives
i got another version of this model a little more stable and that generates fuller ""bazongas"" but i didn't like how the general body shape was generated (with bigger heads) "α", and another version much bigger in file size and with a better understanding and generalization of the ""bazongas"" (caused from a training with a bigger linear rank) but with a slightly worst stability "β". if asked or requested i'll upload them with a beta and alpha name
this version was a pain in the ass to create since i'm a unsatisfiable mtfkrs