Deepthroat Blowjob LoRa
Trained on a dataset of 78 clips with 224x224 resolution, 1sec to 3sec
“pov” and “sideview” camera angles (pov seems to be working better now)
22 different source videos.
also i just finished preparing a new dataset with different camera angle, stay tuned for when its ready 😎
* Added v1.2 with "normalized" dataset, i mean all clips split into 3s - 1s clips, and "re-captioned" all, learning rate of 2, also "video_clip_mode=multiple_overlapping" in hunyuan_video.toml this time)
The workflow im using is:
Hunyuan💥AllInOne ▪ Fast ▪ T2V | V2V | I2V* | Upscale ✔️AIO | Advanced Tea☕1.4 from @LatentDream
Examples:
a sideview of a woman giving a deep throat blowjobsideview of a woman kneeling in front of a man deepthroating his penis, she sucks deepthroat style, woman sucks a big cock, she swallows the whole penis, deepthroat all the way, she looks up at viewer, balls deep blowjob, deepthroat, lips on hipsa sideview of a woman swallowing a penis in deepthroat, the woman is kneeling over the penis, she swallows the whole dick touching the testicles with her chin, she sucks it from tip to base, the man grabs her by the hair, side_d3pthr0AtPOV view of a woman kneeling in front of a man deepthroating his penis, she sucks deepthroat style, woman sucks a big cock, she swallows the whole penis, deepthroat all the way, she looks up at viewer, balls deep blowjob, deepthroat, lips on hips, pov_d3pthr0AtHave fun! 😜
***** This LoRA is shared without warranties and with the condition that it is used in a lawful and responsible way. I do not support or take responsibility for illegal, harmful, or harassing uses. By downloading or using it, you accept that you are solely responsible for how it is used. *****
Description
New training with the same dataset but "normalized" clips are 3sec max and diffusion-pipe setting set to "video_clip_mode=multiple_overlapping"
POV is working better now
FAQ
Comments (30)
the penis get longer still wtf are you using, horses? Gross lol
I like seeing LoRA creators pour the love into a creation and refine it with version updates. Refining the recipe. Keep cookin'!
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i was asking deepseek about it, and seems that you're right, for having the best captioning you need to do a forensic analysis of the pictures, even more on videos, ill try to do it better on the next ones..😥 atm im training one with just keywords, not even single words, keywords, like deepthroat_fast_ontop, but i guess it will have the same issue..if only we could captioning somehow automatically with hight level of detailed descriptions.. xD
Btw im open to do a collaborative lora, if you prepare the datasets and the captioning i will use my hardware to train It..
@K3NK yeah from my limited experience with training t2i loras the captioning and quality of the dataset is very important. In a small dataset even one bad sample can very much affect the resulting lora.
For small datasets I personally prefer to caption manually but if you want an automated way for video, this guy has made a workflow for that using JoyCaptioner alpha2 and wd14 taggers, also one for setting 24 FPS consistently:
FPS: https://civitai.com/models/1129181?modelVersionId=1269310
Captioning: https://civitai.com/models/1129181?modelVersionId=1269317
I haven't gotten around to training HunYuan loras myself so I cant comment on how effective these are but they seem to be reviewed positively.
@Degenerator123 yea i saw those and i tested but i was getting errors and wasnt able to run it, so im using Shutter Encoder for processing videos, and an excel with macro for exporting the captions in one batch y just need to caption every aspect of video per column and every clip per row in the excel and then run the macro, works quite well but you still need to writte and manually describe, i will try some python script DeepSeek gave me
69 epochs eh? Nice...
You said learning rate of 2, i guess you mean 2e-5?
yep, is literally the double or even more the amount of time but i guess is worth it for the results looks better, im still learning tho
learning rate doesnt take less or more time, its about the speed it learns from the data over the time it already runs thru it.
@Baka_Oppai i meant, the closes to 1 learning rate, the loss to steps relation is slower, so for the lora to get a 0.08 - 0.05 loss (thats when its ready, right?) will take more time with 2e-5 learning rate, i mean i realized that when i went from 5e-5 to 2e-5 and observed the TensorBoard graphs.
Yeah I'm finding loss starts >0.1 and gets to maybe 0.06-0.07 by the end. Very noisy though.
@K3NK 5e5 first 80-90% then 2e5 to dial in is a decent general rule but its all voodoo and depends on dataset etc. You should get below .05 by the end but if it starts to rise then its over and you either like it or go back to the drawing board as they say
@Baka_Oppai as far as i know, the diffusion-pipe that i downloaded (the WSL ubuntu image resource in civitai), doesnt allow you to modify the learning rate parameters once the train is launched, gpt and deepseek told me that much.. i read something about a dynamic learning rato but i needed to modify the base script "train.py" so i pass.. im seeing ppl doing great loras with 2 learning rate... so i guess i'll stick to 2e-5, the new lora i released i just uploaded it at 40 epocs 9700 steps, im still training it, the graph looks still recuding the loss, so i guess i will again post the same lora but with more steps/epochs like on my first lora,, i will share the graphs when i upload the v1.2
@K3NK oh ya i've never used diffusion but you could resume at different learn rates? I use Musubi tuner.
I'm finding at 2e-5 my loras are overcooked by epoch 100 (with loss ~0.05), epoch ~60 (loss ~0.06-7) seems good.
@logenninefingers888 awesome info, im at 70 epochs right now for v1.2 of my new lora, i Will share the graphs of It doesnt overcooks😅, this is actually the longest train run i did
Bro, as a fellow NSFW AI enthusiast, lemme just say that I know what it takes to make something this good, and you really out did yourself on this one. It's practically flawless. I rarely comment on here, but this one deserves a pat on the back, for reals. You seriously are talented, don't let anyone tell you just bc it's nsfw content that it doesn't require a high level of skill. And even though the number of people who can do what you do is very, very short, please take some pride in knowing that you are basically sitting at the top looking down on the rest of us. respect, my guy. respect.
thanks for your kind words :D
I mean all feedback is welcome, but some here tend to act like they are renting me their computer and the electricity bill is on them...I mean...I wanted to get the deepthroat part, not the nitpicky little detail, theres a lot of blowjob loras here but i allways wanted them to go deep, ... so i created a deepthroat one, not a character creator.
@K3NK right? its a lora to make her swallow a dick, not have the earrings you want or don't want. sheeeesh! Does she swallow the dick? then shut up! hahah you're preaching to the choir, my friend. keep it up!
I hope you train a standalone pov and sideview because i ONLY get sideview videos,even tho i do everything in my brain intelligence to make a pov
can't get "pov" to work at all. its always sideview
Dude I don't know why but I find this the funniest thing I've seen in a while, Jesus those chicks are dying engulfing those footlongs haha 😂
works with framegen i2v
what are those "side_d3pthr0At" and "pov_d3pthr0At" in your example prompts ?? Those are not triggers according to what you entered in this webpage O.o?
triggers :
- a sideview of a woman giving a deep throat blowjob
- a pov of a woman giving a deep throat blowjob
So... are those another LoRA ? Or should I use side_d3pthr0At and pov_d3pthr0At to use your LoRA ?
you can use those as well, i duplicated, swaped from left to right the image, and recaptioned, then used both datasets.. so you can use those as well
I'm so confused right now.
I had my filters to only show WAN loras, but for some reason this showed up in the feed.
This is hunyuan lora, right???
I'm using in Framepack and it's working well. I did have to turn down the strength to around 0.5 to avoid face morphing
what your prompt? I can't seen to make it work on FP
sitrig7 you can see the positive and negative prompts here:
https://civitai.com/images/92565206
I used weight 0.6 for this one. It’s not bad but haven’t played around with prompts too much yet
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Sideview DeepThroat Blowjob v1.2 - Hunyuan Video.safetensors
Sideview DeepThroat Blowjob v1.2 - Hunyuan Video.safetensors