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  "tags": [
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    "poses",
    "reverse cowgirl"
  ],
  "modelDescription": "<p>Introducing <strong><span style=\"color:rgb(250, 82, 82)\">D</span><span style=\"color:rgb(253, 126, 20)\">R</span><span style=\"color:rgb(76, 110, 245)\">3</span>4<span style=\"color:rgb(18, 184, 134)\">M</span><span style=\"color:rgb(230, 73, 128)\">S</span><span style=\"color:rgb(121, 80, 242)\">C</span>4<span style=\"color:rgb(34, 139, 230)\">P</span><span style=\"color:rgb(250, 176, 5)\">E'</span><span style=\"color:rgb(134, 142, 150)\">s</span><span style=\"color:rgb(250, 176, 5)\"> </span></strong>first test training of a Hunyuan LoRA: Reverse Cowgirl.</p><p>Based on the guide found here: <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/articles/9798/training-a-lora-for-hunyuan-video-on-windows\">https://civitai.com/articles/9798/training-a-lora-for-hunyuan-video-on-windows</a></p><p><strong><em><span style=\"color:rgb(230, 73, 128)\">===========================================================================</span></em></strong></p><p>LoRA trained with 48 short clips at 2 seconds each of this specific position. Trained on 2x3090s, took about 24 hours.</p><p></p><p><strong>Recommended Settings</strong></p><p>These resolutions seem to work pretty well:</p><p>640x480</p><p>960x720</p><p>720X544</p><p>544x960</p><p></p><p>Steps: 20-40</p><p>CFG: 4-6</p><p></p><p>euler/normal or simple</p><p>ipndm/beta</p><p>deis/beta</p><p>dpm++2m/normal or beta</p><p></p><p>Experiment with your own settings to see what works.</p><p></p><p>Sample Prompts:</p><p><em>c0wg1rl, full body, wide angle, a cute woman with dark hair riding a penis in reverse cowgirl position, She has large supple breasts and is wearing only a short blue skirt. Her facial expression is one of pleasure with her eyes closed and mouth open as she moans. A man's penis is thrusting in and out of her vagina. The scene takes place in a dark alley on the cracked and icy pavement illuminated by streetlamp</em></p><p></p><p>Workflow.json is in the Dataset download zip.</p><p></p><p><strong><em><span style=\"color:rgb(230, 73, 128)\">===========================================================================</span></em></strong></p><h3 id=\"dr34msc4pe-is-c651hh9cj\"><strong><span style=\"color:rgb(250, 82, 82)\">D</span><span style=\"color:rgb(253, 126, 20)\">R</span><span style=\"color:rgb(76, 110, 245)\">3</span>4<span style=\"color:rgb(18, 184, 134)\">M</span><span style=\"color:rgb(230, 73, 128)\">S</span><span style=\"color:rgb(121, 80, 242)\">C</span>4<span style=\"color:rgb(34, 139, 230)\">P</span><span style=\"color:rgb(250, 176, 5)\">E</span> </strong>is</h3><p><strong>c0ur4ge </strong>(trainer/qa/inference code) /</p><p><strong>ERA5ER </strong>(captions/tooling code/data/qa)</p><p>Check out our Flux model, <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/694493?modelVersionId=1229931\">C4PACITOR</a>!</p><p><strong><u>Like our work? Buy us a coffee</u></strong>: <a target=\"_blank\" rel=\"ugc\" href=\"https://ko-fi.com/dr34msc4pe\">https://ko-fi.com/dr34msc4pe</a></p><p></p><p><strong><em><span style=\"color:rgb(250, 82, 82)\">Please generate responsibly!</span></em></strong></p>"
}