I trained this model using a dataset composed of a mix real-world photography and detailed realistic synthetic data. 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 (but it will generate crazy huge size).

• 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.

• Nipples Error: Since Ernie was released recently i don't have the good knowledge to training the model with the best parameters. So there are some times you'll get the nipples poking trought the clothes, generating with another seed will do the job.

• Future Updates: This is an initial version. I might release a fine-tuned v2 to fix the Nipples Error, but honestly, I'm pretty lazy, so enjoy this version for now!

🧡 Consider supporting:

🐧 https://ko-fi.com/flusk 🐧

Flux Klein still rock for realism in my opinion but Ernie is crazy good to train lora (probably for a less censored and filtered base model)