<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/d1a4ac28-3d12-4717-a282-df3010ee8f30/original=true/d1a4ac28-3d12-4717-a282-df3010ee8f30.jpeg" /> <a target="_blank" rel="ugc" href="https://t.me/ccmb1ne">https://t.me/ccmb1ne</a> BRKN-KREA2-PUFFY-NIPPLES This LoRA was trained specifically for this purpose while minimizing any impact on the base model. The goal was to preserve the original model's quality as much as possible while achieving the desired effect.It works exceptionally well with already fine-tuned models such as AIO, <a target="_blank" rel="ugc" href="https://civarchive.com/models/2732185/krea2-turbo-nsfw-aio?modelVersionId=3071970">https://civarchive.com/models/2732185/krea2-turbo-nsfw-aio?modelVersionId=3071970</a> but it also performs great on standard FP8 models, as I'll demonstrate in the examples below.From my testing, 8 steps with Res2S Beta 57 consistently produces clean, reliable results without noticeably altering the original model. Because of the nature of this LoRA, you may still need to make small adjustments depending on your workflow either by refining your prompt or slightly increasing the LoRA weight.In my experience, the sweet spot is between 0.4 and 0.7, depending on prompt length. Prompt complexity also affects how strongly the LoRA behaves. Pushing the weight beyond that range doesn't necessarily create mutations, but you will begin to see a gradual degradation in image quality and fidelity.So far, I've found that it pairs well with just about any model that fits the same overall style or objective. I've tested it on realistic, hyper-realistic, and cinematic workflows, and the results have been consistently solid across all of them.For those interested, the LoRA was trained for 3,000 steps using 45 training images.If you have any questions, feedback, or suggestions, feel free to leave a comment. I'll do my best to answer everyone. Most importantly, have fun experimenting with it—I’d love to see what you create, so don't hesitate to share your results.

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