Recommended Prompts
pov, medium breasts, a beautiful woman is getting fucked by a huge penis, professional photo,A woman getting fucked by a huge penis,A fitness model is sucking a big cock,My wife riding a man
penis
Recommended Negative Prompts
low-res,deformed,((make-up)),extra fingers,low quality,moire,overexposure,poor quality,jpeg artifacts,cgi,3d,cartoon,render,censored,low res,(cartoon),low resolution
| samplers | DPM++ 3M SDE Karras, Euler a | |
| steps | 110000 | |
| cfg | 5 – 7 | |
| resolution | 832×1216 | |
Tips
- Prefer using a lower CFG value for clearer results.
- For negative prompts, use tags like ‘non-nude’.
Version Highlights
(almost) no watermarks
new concepts – see description
Creator Sponsors
⚠️⚠️⚠️ 02/2024 – NEW UPDATE V0.5 ⚠️⚠️⚠️
⚠️⚠️⚠️ NO WATERMARKS – NEW CONCEPTS ⚠️⚠️⚠️
Updates v0.5:
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(Almost) no watermarks
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more concepts
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facial
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prone bone
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vaginal
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fisting
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feet / footjob (it’s a bit iffy)
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deepthroat
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it’s a little bit overtrained. so use a sensible/lower CFG value.
Updates v0.4:
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Easier prompting
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Better style adherance
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more concepts
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titty fuck
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kissing
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some lesbian stuff
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cum
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more details – sometimes even good hands! wow!
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more variety in faces and stuff
Prompting guide
I can recommend to build the prompts this way:
{tags}, {motif}, {style}
For example:
pov, medium breasts, a beautiful woman is getting fucked by a huge penis, professional photo
Use tags for negative prompt to get for example non-nude pictures and so on.
Motifs are “normal language” descriptions of what you want to see like for example:
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A woman getting fucked by a huge penis
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A fitness model is sucking a big cock
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My wife riding a man
Supported tags:
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pov – “point of view”
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Small breasts, medium breasts, large breasts
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Looking at viewer
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Penis
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Pussy
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Ass grab
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Kiss, French kiss
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lesbian
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Nipples
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Titty fuck
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Cum
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Solo, solo focus
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Nude
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facial
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prone bone
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vaginal
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fisting
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feet / footjob (it’s a bit iffy)
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deepthroat
Prefered resolution is 832×1216 – cfg 5-7
What’s next?
Going to try SDXL turbo.
If you want to see a specific concept let me know!
Some technical stuff:
Training framework: Kohya’s on RunPod A100
Dataset: 20.000 images
Batch size: 16
Steps: 110.000
Learning Rate: 5e-6
