This model depicts a couple engaging in doggystyle sex from a side-view-perspective (profile).<ul><li>it still can produce same-sex material</li><li>Database contains side-view and explicit rear view material</li></ul>Base-Promt example (most of the captions look like this):"Male and female have sex in doggystyle position on a couch The female is bent over on all fours. The male is thrusting his hips back and forth rapidly, while pounding the female's ass. You have a clear view on the penis pussy penetration. The Penis is penetrating the pussy vulva. The female breasts are swinging back and forth by the force of the pushing male. "Usage:1.0 strength (double blocks)Edit: I uploaded the WF that I used to create the examples:<a target="_blank" rel="ugc" href="https://civarchive.com/models/1283759/hvbasicadaptmultilorat2ti2vv2v10?modelVersionId=1448406">https://civarchive.com/models/1283759/hvbasicadaptmultilorat2ti2vv2v10?modelVersionId=1448406</a>Quick Comment on the Sample Videos:Guys, I need to confess: In order to use the sample-Videos I did not usethe base model but the following checkpoint merge:<a target="_blank" rel="ugc" href="https://civarchive.com/models/1237378/huncusvid?modelVersionId=1394503">https://civarchive.com/models/1237378/huncusvid?modelVersionId=1394503</a>Nevertheless I hope this Lora is of use to you.If you have a great workflow example how to successfully use my Lora with the Basic fp8 Hunvid version I'm excited to see it.Beginners questions:I used the Learning Rate 1e-4I read about learning rates, but could not figure out what to usem so I left itto the said default. If you have any insight about it, please let me know in the comments.About This Lora: It is the 1st iteration:3750 Steps 250 Epochs. Trained on a 4070 Ti Super (16gb) in 16h 17m.The dataset consists of 20 Video clips: Each encoded to following properties:640x480 / 24fps / 65 frames per clipTrained with: musubi_Hunyuan_Lora_Tuner / toml file:resolution = [340, 256]batch_size = 1enable_bucket = truebucket_no_upscale = falsetarget_frames = [1, 25, 45]frame_extraction = "head"

Files with SHA256: ac583207287406c317f5bf3c0eb2121f40381e922ee72a6be68d6b9237ae66f4