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  ---
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  license: other
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  tags:
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- - civitai
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
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  Author: [tazmannner379](https://civitai.com/user/tazmannner379)
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- Model: [https://civitai.com/models/1476909?modelVersionId=2466172](https://civitai.com/models/1476909?modelVersionId=2466172)
 
 
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- Mirror: [https://civarchive.com/models/1476909?modelVersionId=2466172](https://civarchive.com/models/1476909?modelVersionId=2466172)
 
 
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  license: other
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  tags:
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+ - style
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+ ---
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+
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+ # Penis Lora (+Blowjob, +Cumshot) [Taz] - WAN 2.2 14b / 5B / 1.3b T2V & I2V (Wan 2.1 & 2.2) + Qwen + Zimage Turbo-ZImage Turbo V2 - 2466172
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+
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+ **Model Type**: LORA
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+
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+ **Base Model**: ZImageTurbo
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+
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+ **Trigger Words**: PENISLORA
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+
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+ **Tags**: style
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+
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+ ## Gallery
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+
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+ <table>
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+ <tr>
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+ <td><img src="https://img.genur.art/sig/width:450/quality:85/aHR0cHM6Ly9jLmdlbnVyLmFydC9lYTk3NzY2YS05NDA3LTRkOGMtOTAyYi02N2JhYWY5ZDk1ZWE=" width="200"></td>
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+ <td><img src="https://img.genur.art/sig/width:450/quality:85/aHR0cHM6Ly9jLmdlbnVyLmFydC9mYzk4YTFmNy01MGUzLTQzOTEtYTY4Ny0wZmFmNTYzMDk2M2E=" width="200"></td>
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+ <td><img src="https://img.genur.art/sig/width:450/quality:85/aHR0cHM6Ly9jLmdlbnVyLmFydC9mMTkxYTc4MS1jMzFmLTRiYmMtOWM4NC02NDg5NmI4MzJhNTU=" width="200"></td>
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+ </tr>
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+ <tr>
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+ <td><img src="https://img.genur.art/sig/width:450/quality:85/aHR0cHM6Ly9jLmdlbnVyLmFydC9lZWNkMTcyYi02NWM1LTQyYzctYTVhNS1kN2UzOGFiMDVjZjE=" width="200"></td>
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+ <td><img src="https://img.genur.art/sig/width:450/quality:85/aHR0cHM6Ly9jLmdlbnVyLmFydC8yZTQzNmNmMi0xMTdjLTRjYjEtOGY0Zi0wMzY3N2Q2ZDE1YTc=" width="200"></td>
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+ <td><img src="https://img.genur.art/sig/width:450/quality:85/aHR0cHM6Ly9jLmdlbnVyLmFydC9kMTJiZGMxYy1iOWI2LTRjNTEtOTY5Ny1mYWE4NmFlNTk1MmU=" width="200"></td>
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+ </tr>
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+ <tr>
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+ <td><img src="https://img.genur.art/sig/width:450/quality:85/aHR0cHM6Ly9jLmdlbnVyLmFydC9mODgxYzY5OC0xZWYyLTQxZTItOWEzMS0xZmYwOTAzYmE0MDc=" width="200"></td>
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+ <td><img src="https://img.genur.art/sig/width:450/quality:85/aHR0cHM6Ly9jLmdlbnVyLmFydC8xODU5MzU4Ny1lZDMwLTRkZGUtOWJkNi1hYjFmM2YxNzZmOGY=" width="200"></td>
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+ <td><img src="https://img.genur.art/sig/width:450/quality:85/aHR0cHM6Ly9jLmdlbnVyLmFydC83OTM0MDhkZC0wMDFlLTRiYzYtYjc2Ny1kODdmMDc2M2MxNzI=" width="200"></td>
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+ </tr>
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+ <tr>
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+ <td><img src="https://img.genur.art/sig/width:450/quality:85/aHR0cHM6Ly9jLmdlbnVyLmFydC80OWMzY2IyYy03OTk0LTRhZWYtYjhlMC1kNGFkNTE1OTRkZWE=" width="200"></td>
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+ <td><img src="https://img.genur.art/sig/width:450/quality:85/aHR0cHM6Ly9jLmdlbnVyLmFydC80M2YxMWM3My0zZDFiLTQwMTItOGYzNy01NjEwZWZmNzUwNWU=" width="200"></td>
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+ <td><img src="https://img.genur.art/sig/width:450/quality:85/aHR0cHM6Ly9jLmdlbnVyLmFydC9jZGEwNzY4OS0yNjM2LTRlZGQtOTA3OC1iNzAwZjk3OGM5MTQ=" width="200"></td>
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+ </tr>
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+ <tr>
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+ <td><img src="https://img.genur.art/sig/width:450/quality:85/aHR0cHM6Ly9jLmdlbnVyLmFydC85MWIyMTY3NS0xNDVmLTQ5MGItOTM0MS04MTk2ZWUzMWIzODk=" width="200"></td>
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+ <td><img src="https://img.genur.art/sig/width:450/quality:85/aHR0cHM6Ly9jLmdlbnVyLmFydC8xZGU3NTY4Ni05NWRlLTRmNDYtYTRkOC04YzRiMTQ0ZjZhZjg=" width="200"></td>
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+ <td><img src="https://img.genur.art/sig/width:450/quality:85/aHR0cHM6Ly9jLmdlbnVyLmFydC9jMDYwN2I5OS04NzJlLTQ0OGUtYmQ3MC0wYWZlNjY0OGE5ZDc=" width="200"></td>
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+ </tr>
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+ <tr>
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+ <td><img src="https://img.genur.art/sig/width:450/quality:85/aHR0cHM6Ly9jLmdlbnVyLmFydC82YWMwMTc2Yi1iODY0LTQ0NjgtYWJkMC1hMTA4M2IyNTBiNzQ=" width="200"></td>
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+ <td><img src="https://img.genur.art/sig/width:450/quality:85/aHR0cHM6Ly9jLmdlbnVyLmFydC85MzM4OGEzZi01MTU3LTRmMWQtOGQwZS1lNjQ1YWM1Zjk5NzI=" width="200"></td>
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+ <td><img src="https://img.genur.art/sig/width:450/quality:85/aHR0cHM6Ly9jLmdlbnVyLmFydC83OGViNjY4ZS1jMWQ3LTRhYWMtODdhMC1kNzJlYWI1ZDk3MWY=" width="200"></td>
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+ </tr>
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+ <tr>
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+ <td><img src="https://img.genur.art/sig/width:450/quality:85/aHR0cHM6Ly9jLmdlbnVyLmFydC8yOGVkMWNkYy1iMjAxLTQ1Y2YtYTI2NC00N2RiZDUxYTNkYjQ=" width="200"></td>
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+ <td><img src="https://img.genur.art/sig/width:450/quality:85/aHR0cHM6Ly9jLmdlbnVyLmFydC82Nzk2OGU4Zi01MDE4LTQwZWUtYmFkOC03MTk0NzkyMDQ3NDM=" width="200"></td>
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+ </tr>
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+ </table>
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+
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+ ## Description
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+
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+ About this version (qwen v2)
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+ A brushup of the dataset, with better result than V1 for qwen. I will use the same dataset again for zturbo when the base model is released.
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+ **Trigger word:** PENISLORA
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+ **What can this lora do?**
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+ This lora can add erect penises to both men or women viewed from the front/side. Other angles such as POV may have a backwards penis head.
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+ Other things it can now do:
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+ Side view of the penis
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+ Cumming / Cumshots
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+ Blowjobs (its captioned for the words "blowjob" and "deepthroat" )
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+ What can't it do?
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+ No penetration in the training data. Also nothing from POV angle, though there is a few images from above and 1 POV video in the training data.
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+ Sometimes blowjobs with cumming have the penis slip out the closed mouth.
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+ **Recommended Settings**
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+ It works pretty good with the new lightning dyno high model. I'll link to it in my example workflow. I like to use dyno high model (no lightning lora), then for low I use the lightning v2 lora on the regular 2.2 low base model.
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+
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+ **Dataset**
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+ 84 images at 512x resolution
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+ 43 videos at 256x resolution
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+ (I let DP pick the aspect ratio automatically)
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+ This is the same exact dataset as the 2.2 5B model. I made no changes.
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+ **Training**
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+ I used the default diffusion pipe settings.
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+ [optimizer]
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+ type = 'adamw\_optimi'
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+ lr = 2e-5
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+ betas = [0.9, 0.99]
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+ weight\_decay = 0.01
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+ eps = 1e-8
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+ I was baffled why it was taking so long to train the high until I realized after over 60 hours of training that I had put my videos in the images directory which resulted in the high being trained ONLY only on videos and twice (once with a very high resolution). Once I fixed this, I went back and trained from 11K steps up to around 13K with the images in the training data. The high model was fine without to be honest.
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+ For the low, I trained it properly with videos and images the whole way, around 6K steps in I upped the image resolution from 512 to 1024 actually and didn't get an OOM (it fit around 24GB exactly). I trained it to around 10.5K steps. Also I trained the low on the full timestep range (0 to 1 instead of 0 to 0.85) from some advice, it may switch better over from high to low on the speed up lora with low steps.
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+ I think I might do another version with more angles such as POV and from the behind to make this work for any situation. In that case I don't think it needs 10K steps per training session, epochs around 5K steps looked fine.
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+ **The results**
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+ I think it was a combination of improved captioning and 2.2 base model being better. But this lora turned out really well.
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  ---
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+
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  Author: [tazmannner379](https://civitai.com/user/tazmannner379)
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+ Model: [CivitAI Model Page](https://civitai.com/models/1476909?modelVersionId=2466172)
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+ Archive: [CivArchive Page](https://civarchive.com/models/1476909?modelVersionId=2466172)
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+ <!-- Version: 20260422_v4_update -->