<h3 id="trigger-words-wwtyqvkgt">Trigger words</h3><p>These were used during training: (the latter three are undertrained)</p><pre><code>omo wet pants
omo wet panties
omo wet shorts
omo wet pantyhose
omo wet skirt</code></pre><p>I did not train any new tags for poses, though Pony already knows some like "v arms" or "covering crotch" that may be useful and appeared during training.</p><p>The tag "peeing" may be useful if you want there to be a visible pee stream but is more or less implied with "omo wet panties".</p><p></p><h3 id="recommended-settings-pkmloyvbe">Recommended settings</h3><p>Should work with any Pony checkpoint you like. If you want a recommendation:</p><ul><li><p>Realism: Jib Mix Pony Realistic, Satpony Noscore, Real Dream v7</p></li><li><p>Artistic: Autismmix, Zavy Fantasia, Rainpony, or even just base Pony</p></li></ul><p>CFG ideally between 1.5 and 3.5</p><p>Lora strength 1.0 if used on its own at recommended CFG</p><p>If available, I recommend at least trying the "ipndm" sampler at around CFG 1.7, otherwise use whatever you like.</p><p></p><h3 id="training-details-y592g3vzj">Training details</h3><p>Trained for 30 epochs at (nominally) 3e-5 LR with AdamW with 0.02 weight decay over around 1400 steps per epoch at minibatch size 1 and 48 gradient accumulation steps and a cosine annealing LR scheduler with 2000 warmup samples.</p><ul><li><p>Training was done on a 4090 as a full-rank finetune in bf16 with a special "Fine Tune Offset" mode in a modified OneTrainer so that weight decay could go toward the base Pony model. The LoRA was extracted afterward.</p></li><li><p>Each image had its own computed loss weight, fractional repeats value, and timestep bias based on quality, aesthetics, and relevance, rounded into concept buckets. For example, low quality photographs were biased toward high timestep numbers to avoid learning details (custom OneTrainer modification). The average effective LR was around 2e-5 and the total unique images in the dataset was around 1700.</p></li><li><p>The dataset was comprised of both real photographs and synthetic images I generated with earlier versions of this model. The synthetic images were only used at high timesteps for composition learning, and all hands were masked out of synthetic images. The purpose of including synthetic images was for "style regularization", many different styles were included in hopes of avoiding a photographic bias in the LoRA.</p></li></ul><p></p><h3 id="known-issues-6c2vespwe">Known issues</h3><p>The dataset contained only female subjects. Mostly 1girl, some 2girls. </p><p>The sample images are a bit cherry picked to avoid cases where it messes up faces. You'll probably want to do a face detailer pass.</p><p>It is undertrained especially on pantyhose and some skirt poses, for example squatting in a pencil skirt. For shorts, it seems to get confused about pee streams and threads hanging off of cutoff jean shorts.</p><p>If the wet spot on pants is too shiny or paint-like, you can try putting "wet" in the negative, but I would recommend trying to fix this with sampler settings instead.</p><p>Especially at high CFG, puddles may be very yellow, you can try "yellow pee" in the negative.</p><p>Depending on checkpoint, there may be a bias toward older faces than the typical Pony sameface, or at least a bias toward nasolabial folds. This was mostly intentional.</p><p></p><h3 id="future-work-5lzeu0962">Future work</h3><p>I probably won't try to improve this further for Pony v6. I may continue trying to train a version for BigASP or various DiT models.</p>
Public
Pony
https://civitai.com/api/download/models/658867
true
https://civitai.com/api/download/models/658867
FB36B977
283DA33899
279E3A748A4B
17294D36D828FE0332C6FE07E3DF1CF1A734E386F2249FEED10B8B01320329EF
2C44F950
283DA338991E633EEFF874EDB39DF46FC7C85A2E0E54C89EAB0E86812947F138
SafeTensor
wetting-pdxl6-v1.safetensors
No Pickle imports
Success
2024-07-20T18:43:58.904Z
Model
Success
U4DI:-.A00=.vy02F#$d03=|-hWA02%LaHS6
image
https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/a9875279-de80-4742-9249-0c85cf70ca4f/width=450/20623183.jpeg
U6G[pB_20x%2~AIU56s.00so_4NHDNozR*xu
image
https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4795e628-a956-40b5-a7eb-1f13c1f1b4fa/width=450/20609193.jpeg
U7Ig=c00yCV|0J~WE1V{Gk4:T0Rkx9D*~B0e
image
https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/30761bcf-e076-4cc1-947d-176698a142c2/width=450/20615545.jpeg
ULJ7]*M|_M-op{ozENI;M{WB0Ln%v}RjaKoy
image
https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/31345b57-0627-4aca-9d6d-f14d082fb4b2/width=450/20609216.jpeg
UDIhT;^*~BtR?bD%IU?b?a-;IVRPRj-;R-E1
image
https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/0453c092-6ad3-4470-bd0f-50c84fab4cb9/width=450/20616427.jpeg
UEHe2u~VE1IBNLt70fE2kqS5-9j?KPxt$$jF
image
https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/0eae5d09-9e3f-41be-8340-04a6955a6689/width=450/20611235.jpeg
UCIEhN%g?wn*_3Ne9atQ-4RP4TXTbcRjD%t6
image
https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7819863e-15ba-4f6e-a72b-098b93ee857a/width=450/20609217.jpeg
v1.0
2024-07-20T10:11:44.543Z
omo wet pants omo wet panties
Pants Wetting / Panty Peeing / Omorashi Concept
concept wetting wetting self