This model is trained with a dataset consisting of 94 images of mixed resolutions. Some of the images are AI, and others photos. It creates female characters with a exagerrated lower body, and long legs. The poses in the dataset are mainly: standing, sitting, squatting, bent over, from behind, front, side, etc.etc. without full nudity, explicit nsfw / R18-rated content. But many images do contain high waist lingerie, tight dresses, yoga pants, skirt and shorts, croptops and other cute and sexy stuff. So a wide variety of clothing items.Trained triggers: 🔥🔥🔥<ol><li>pear booty pawg: Main trigger to create the hourglass shape with enlarged buttocks.</li><li>thick thighs: creates wide thighs below the butt cheeks.</li><li>wide hips: makes the butt cheeks and the hip bones wider, compared to the waist.</li></ol>Testing and Usage: <span style="background-color:rgb(26, 27, 30);color:rgb(193, 194, 197);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">🤖🤖🤖<ol><li>I have tested the lora to a peak strength of +2, and haven't had any distortion or deformations yet using turbo models. So it can be used as a slider. Feel free to experiment.</li><li>the lora works best when the triggers are used in a array, seperated by comma's: e.g: "pear booty pawg, thick thighs, wide hips".</li><li>To get a long dress that covers the legs ommit/remove the words ass and thighs. Instead prompt: "lowerbody". The model will still keep the pear-shape body with the clothes on.</li><li>The images used in the dataset are in a modern style, but captioned manually to include a wide variety of objects, locations, and other elements, so it understands a wide context of scenes.</li><li>Works very well with my cellulite lora, and allows alot of control on the bodyshape when adjusting strength on both loras individually.</li></ol>For the examples I used Krea2 Basemodel: fineporn_INT8_v4, CLIP: qwen-3-vl-4b-heretic_int8, VAE: wan_2.1_vae, inference steps: 8, sampler: euler_ancestral, scheduler: sgm_uniform, resolution: 1080x1920.Sidenote:I'm aware there is another model on the platform that makes a pearshape, but didn't find this quite to my liking. So I decided to share this model I trained a while ago, hoping I gather some buzz to continue training on other models. 😋I manually added captions for lighting, atmosphere, setting, location, etnicity, and alot more, so try things, it can do alot! Limitations: <span style="background-color:rgb(26, 27, 30);color:rgb(193, 194, 197);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">❌❌❌This lora model has a hard time with upside-down poses, or concepts like contortion, suspension and other concepts where the person is in a unnatural position. For this using a secondary lora trained on such images is needed.<span style="background-color:rgb(26, 27, 30);color:rgb(193, 194, 197);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">⚡👍⚡Hit the like button on the model page, and on my images if you enjoy what you see! I'm always out of buzz, and every bit helps so I can train more models! And if you download the lora, posting a image to the page grants me 50buzz per user! So I would appreciate it alot if you upload! All donations are welcome and very much appreciated! Much love and enjoy! ❤️

C666D Pear Booty Pawg Krea2 v1

v1 uses a combination of both photos and AI images. Mostly used on a wide variety of token style captions, added manually. Dataset re-iterated over 3 times, during a period of 6 months.

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