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---
author: Adaptalab0r
baseModel: Hunyuan Video
hashes:
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SHA256: AC583207287406C317F5BF3C0EB2121F40381E922EE72A6BE68D6B9237AE66F4
metadata:
format: SafeTensor
modelPage: https://civitai.com/models/1280127?modelVersionId=1444200
preview:
- https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/df474ccf-2fd8-4c8b-8eaa-6e1350dde3b6/width=450/59256225.jpeg
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- https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/1a4d6174-fe83-4eb8-b6fd-22e765800107/width=450/59258853.jpeg
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- https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/452c8c49-8dc0-419b-9bef-fb7ee13f4b2f/width=450/59258463.jpeg
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- https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7561e0fc-aff7-404e-9157-00e02f40544c/width=450/59262156.jpeg
- https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/76b3851a-b9af-482b-ad24-316d6899a439/width=450/59262462.jpeg
- https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/d59cb9ba-c610-494f-91bf-6211ece983c9/width=450/59262583.jpeg
website: Civitai
---
# Trigger Words
doggystyle sex
# About this version
No description about this version
# HV_Pose_Doggystyle_Sex_v1.0
This model depicts a couple engaging in doggystyle sex from a side-view-perspective (profile).
* it still can produce same-sex material
* Database contains side-view and explicit rear view material
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:
<https://civitai.com/models/1283759/hvbasicadaptmultilorat2ti2vv2v10?modelVersionId=1448406>
Quick Comment on the Sample Videos:
Guys, I need to confess: In order to use the sample-Videos I did not use
the base model but the following checkpoint merge:
<https://civitai.com/models/1237378/huncusvid?modelVersionId=1394503>
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-4
I read about learning rates, but could not figure out what to usem so I left it
to 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 clip
Trained with: musubi\_Hunyuan\_Lora\_Tuner / toml file:
resolution = [340, 256]
batch\_size = 1
enable\_bucket = true
bucket\_no\_upscale = false
target\_frames = [1, 25, 45]
frame\_extraction = "head"