<h1 id="twisted-reality-krea2">Twisted-Reality-Krea2</h1><p>This is a LoRA model with rank 64, trained on a custom dataset that consists of celebrity photo portraits, playboy photos and other NSFW photos.</p><h2 id="concepts">Concepts</h2><p>Since this is a rank 64 LoRA model, it is quite huge, containing many concepts such as:</p><ul><li><p>Breasts (gigantic, large, prominent, fake, surgery, augmented)</p></li><li><p>Vagina (hairy, wet)</p></li><li><p>Dildos</p></li><li><p>Penis</p></li><li><p>Vaginal sex</p></li></ul><h2 id="usage">Usage</h2><p>Use natural language with this model, and the standard Krea2 turbo model. This is quite a strong LoRA, it deteriorates a bit the image quality, but it brings many hard concepts to the base model. The maximum LoRA strength I would suggest is 1.0, otherwise the image grain gets too destroyed, this is a problem with training such a big model.</p><h2 id="training">Training</h2><p>I trained this LoRA model using 4 bits quantization of the base model and text encoder, using A40s from RunPod. I started setting the learning rate to 2.5e-5 and batch size = 1, 700 steps total, so in total it ran over 700*8=5600 images. I might post an another version with a lower learning rate since the image generation exploded at around 2000 steps.</p><p></p>

Twisted-Reality-Krea2

<p>Initial version, 700 steps and lr=2.5e-5.</p>

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