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    Male Ass – Flux - v2.0
    NSFW
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    v5 Use weight at 0.92

    works on its own.

    Read the "about this version" description

    Everything below here is outdated.


    v4 NEEDS v3.5
    Use v3.5 weight at 0.9 and v4 at 0.93

    v4 is like an enhancer and v3.5 is the base. They work well together. But you can use v4 together with other male anatomy LoRas as well.
    Read the "about this version" description

    I gave up on merging, so I'm releasing both versions to be used together.

    I recommend using a penis LoRa to get more details. Xpenis Uncut by @wolffur666456 works great here at 0.4-0.7. I still have to test his ass LoRa interactions with mine.

    No trigger word, just reference a man from behind or showing ass

    Some supporting trigger words used on the dataset:

    glans, large penis, small penis, medium-size penis, wide open anus gap, closed tight anus gap, penis upside-down, scrotum, testicles, low-hanging testicles, hairy, shaved 

    V4 learned a great deal of details and anatomy, but it is not good on its own. IMO this is way better at prompt adherence, but one is not good without the other.

    I did a block weight analysis on both versions and tested its interactions. I rescaled the rank of both LoRas and I think there were no expressive quality hits. I sometimes preferred this Rank24 LoRas so I decided to go with them to spare everyone HD space.

    V4 is an insane version made with too many continuations. I trained v4 a,b,c,d,e,f,g and finally this OC which was supposed to mean Over Cooked because I upped the LR so high, and it still didn't burn. To be honest, I think kohya bugged with this continuations LR adjustments, it probably was all using the firs LR that was super, super low.

    This also had regularization images, with probably dragged this down. I currently don't think this is good with kohya. Only with AiToolkit with reg_weight at 0.25.

    I have plans to train a v5 to be good on it's own.

    Everything below here is outdated. The table is outdated, I might fix this later. Or not.


    v3 use weight 0.68

    Dataset update for v4 05/09/24:

    I've been focused on regularization and recently on my bounding box program, it's now finished. I'll keep up with some more manual captions and soon try a v4. I pruned the dataset a little bit.


    v3 use weight 0.68

    Read the "about this version" description


    v2 USE WEIGHT 0.53

    Works better with Distilled CFG Scale of 5 or above and 50-60 steps (yes it needs a lot of steps)

    No trigger word, just reference a man from behind or showing ass

    it responds quite well to negatives (use the dynamic thresholding CFG-fix),

    This is not great yet.

    This is my first step going away from Bussy. This will no longer use that trigger word. I want this to be not just a strict pose from behind but more like full male asshole Lora from any position. I want to include more action like insertion, rimming and maybe anal sex.

    But for that I need to increase the dataset and improve captions. This is a first try using the same dataset of Bussy (without any trigger word). It needs a whole redo with better captions and less danbooru tags.

    The dataset has 10% of color associated regions and it was enough for flux to understand most of the position of the concepts (ass, anus gap, penis, glans and scrotum). But the quality is really bad for now for v1. v2 is a little better.

    I hope with better dataset and maybe better trainers and training parameters it will be better in the following versions.

    Problems:

    • bad at close-ups

    • can't do hairy well

    • penis is really weird shaped most of the time, v2 is better but still bad

    • without negatives, it's hard to control penis size and visibility

    • overall looks low-res, v2 is a little better

    • v3 text habilty suffers, will be better in future v4 with regularzation images

    Trained with Ostris ai toolkit.

    for a better description, read SDXL Bussy Lora page.

    Description

    v 2.0 Updated version 1 after Ostris AiToolkit bug update fix. I also used the dataset that is in the middle of a clean-up and recaptioning process. It had a 24% of the revised dataset in it.

    Steps 6500 out of 7000. Use lower weight, around 0.53. Also, high steps 50-60.

    No trigger word, just describe a person from behind.

    Still problems with penis anatomy, it's not controllable yet.

    FAQ

    Comments (15)

    diogod
    Author
    Aug 15, 2024
    CivitAI

    v2 is out. 🍑

    It's not a huge jump in quality yet. The dataset was cleaned a little bit of bad images and 24% was recaptioned with really long and precise descriptions (used to be around 200 now is 176). Still makes long giant dicks, deformed ones, and bad glans and scrotum. But it's better than v1.

    TorqueAug 15, 2024

    I found my wolf model had problems above 1000 steps. have you tested lower numbers?

    diogod
    Author
    Aug 15, 2024

    @Torque I've tested them all. The lower ones don't work. I think for male nudity, it needs a lot of steps. Penises is still a challenge up to this day for SDXL (excluding Pony of course, that thing is a penis machine).

    But for a person likeness, I'm just testing one now, low steps seams to work fine.

    But of course it needs a lower weight. The 3000 and 4500 were pretty good. I almost uploaded them, but ended up choosing the 6500 with lower weight.

    diogod
    Author
    Aug 15, 2024

    @Torque I wish I could do block analysis. It fixes so many things. But I don't think we have any tools yet.

    TorqueAug 15, 2024

    I get it, the nudity is a big hurdle to get around, where my model was mostly a refinement. I wish you the best of luck in you journey!

    wiizAug 16, 2024· 1 reaction
    diogod
    Author
    Aug 16, 2024

    @wiiz Omg no. I thought it was just for danbooru! It looks perfect

    broomstickAug 15, 2024· 2 reactions
    CivitAI

    This is nice. Good to see holes. I wish someone was working on a female ass. :(

    diogod
    Author
    Aug 15, 2024

    Not my thing, but I'm sure someone will take on the task lol

    diogod
    Author
    Aug 16, 2024
    CivitAI

    Tip 1: Ok it responds quite well to negatives (use the dynamic thresholding CFG-fix), and it fixes a lot of the ginormous penises and "shallow anuses" lol. I also recommend "Flux+ Detailer" it makes everything more responsive and helps a lot with text. You also might get away with just 38 steps instead of like 60 for a good image.

    diogod
    Author
    Aug 18, 2024· 3 reactions
    CivitAI

    Update3 18/08/24: I curated more than good 1k new pictures for the dataset. I'm thinking of manually fixing (captioning dick size and details) on 20% and the rest be automatic captioned by JoyCaption as @wiiz suggested. This is the plan for v3.

    Hopefully it will learn all male anatomy positions that involve the ass and some interactions with objects and people.

    diogod
    Author
    Aug 21, 2024· 1 reaction
    CivitAI

    Update4 21/08/24: I did the automatic caption of the whole 1k images dataset, and I was eager to see the results without filtering or doing any more manual caption. So I did a training session.


    It wasn't that great. Maybe better than the current version, but I still need to find the best epoch.

    I might publish it soon (v3), but I think it really needs to have better captions and more training adjustments.

    I'll probably not do other concepts at the same time (in the same LoRA), like insertions and sex. I think those things get in the way of the model learning proper male anatomy.

    I'll need to do a lot more colored regions because what I had was diluted in the 1k image dataset and the model did not learn the genital positions with the colored regions like v2 did. So that is probably next, for v4.

    wiizAug 27, 2024

    It looks good. Ik this sounds stupid, but have you tried training on fewer images? I'm currently training on 20k images and the outputs are just worse than my 2k test LoRA which is worse than the 500 test image LoRA 😭.

    None of the tuners change the CLIP model, so captions have less impact than you think.

    I switched from LoRA to fine-tune for the 20k images, it's way slower (so expensive to train) but the outputs are much better. But it still struggles to learn penis, vagina, asshole, etc. From what I can tell, the less images you have the faster it overtrains, which is why people with 40 images can produce vagina LoRAs in an hour (the quality is bad tho or bleeds into the model too much).

    diogod
    Author
    Aug 27, 2024

    @wiiz v1 and v2 had around 200 images, and they were not great. I think this sloppy v3 with 1k images is better is some aspects.

    I'm still not sold on this idea that less caption is better... I would have to test it myself. Not training the Clip doesn't mean that captions are less impactful. Normally for SDXL training the text encoders were bad most of the time (I actually did it because post block analysis and remerging the LoRa with a lower TE or even 0 TE fixed the LoRA, but we don't have this yet for Flux, not that I know about)

    I still have a lot to test and not too much time in my hands =(

    diogod
    Author
    Aug 27, 2024

    @wiiz I also want to test regularization images for next version. I think they might actually play an important part on Flux. I didn't bother with them with SD15 or SDXL.

    People have been reporting finetune results looking way better... but fine tuning is a whole different thing, soo much resource intensive... I don't think I'll go that way right now.

    LORA
    Flux.1 D

    Details

    Downloads
    256
    Platform
    CivitAI
    Platform Status
    Available
    Created
    8/15/2024
    Updated
    6/11/2026
    Deleted
    -

    Files

    Flux_male_ass_v2_000006500.safetensors

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