<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></p><h3 id="version-1">Version 1</h3><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><h3 id="version-2">Version 2</h3><p></p><p>I figured out that doing unguided training on krea 2 destroys the distillation from the turbo model. This version fixes this and there are no more artifacts. This version has been trained on over 56000 images, so it is quite good at generalization, but this won't make the images magically realistic. You will need some other style LoRAs for the realistic skin, etc.</p><p></p><p></p>

Twisted-Reality-Krea2

<p>Fixed the training code to not do unguided training. This fixes the degradation of the image quality I was observing in the first version.</p><ul><li><p>lr=2.5e-5</p></li><li><p>7000 steps</p></li><li><p>batch size = 8</p></li><li><p>total images = 56000</p></li></ul>

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