About this version (qwen v2)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. Trigger word: PENISLORAWhat can this lora do?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. Other things it can now do: Side view of the penisCumming / CumshotsBlowjobs (its captioned for the words "blowjob" and "deepthroat" )What can't it do?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.Sometimes blowjobs with cumming have the penis slip out the closed mouth.Recommended SettingsIt 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.Dataset84 images at 512x resolution43 videos at 256x resolution(I let DP pick the aspect ratio automatically)This is the same exact dataset as the 2.2 5B model. I made no changes.TrainingI used the default diffusion pipe settings.[optimizer]type = 'adamw_optimi'lr = 2e-5betas = [0.9, 0.99]weight_decay = 0.01eps = 1e-8I 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.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.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.The resultsI think it was a combination of improved captioning and 2.2 base model being better. But this lora turned out really well.

Penis Lora (+Blowjob, +Cumshot) [Taz]  - WAN 2.2 14b / 5B / 1.3b T2V & I2V (Wan 2.1 & 2.2) + Qwen + Zimage Turbo

WARNING for using civitai online generation. This is a lora trained on Wan 2.1 14B t2v model and is designed to give frontal shots of average to large size erect penises for men and women alike. This model is 14b t2v. It wont work with either i2v 14b or t2v1.3b model. I will do those models at some point in the future when this 14b t2v has enough training data that I am happy with the result.v0.7 Update memo:I’m very conflicted with this update, please test and post your good gens so I can feel some good came out of this work. I added in around 30 new images and 30 new videos. I tried get different angles of the penis, as well as more content regarding jerking, cumming, and blowjobs. It cannot do cumming well still. Jerking is improved, the person can now grab the penis and move up and down the shaft though things can go wrong. “Tip” versus “base” of penis is captioned, but its still a bit hit or miss. I find now its a lot easier for the ai to go bonkers than before unfortunately. On the positive side, I think it can do a lot more front angles on penis. It can technically do POV, but the Penis head position is kind of random, I would say you should use a different lora for this, same with cumming, and to an extent masturbating. For some reason its picked up on blowjob well, non POV blowjob or even deep throat seems to do better than jerking.The results look a bit dark too, I’m not sure if this is due to the added videos having some with low lighting or not. Or it may be overtrained at this point. I can’t for the life of me get my checkpoints to resume when training and have to load weights EVERY time. I have included epochs 10-30 in the training data. So please experiment and try earlier epochs if you think its over trained and let me know.This took around 24 hours of training on a 3090 and I’ve loaded weights from v0.6 in. An additional 6700 steps to reach 30 epochs at 5 repeats each. I have slightly downgraded the resolution to increase training speed (in the end I think I should have gone lower on resolution). It cost me around 100 USD. I will start training things locally or use lower resolution moving forward I think so I can fit it on a 48gb card on runpod.Check the update notes below for details of whats new.Important info:Trigger word: PENISLORA (you can just chuck it at the front of the prompt)Best Strengths: 0.7-0.85 (anything higher you get less variety, lower less penis). I prefer 0.85.Version update v0.7 notes:<ul><li>The data I've now added contains videos/photos of blowjobs, cumming, penis stroking, and a few more angles from the front and top.</li><li>This is an additional 6.7K steps / 30 epochs on top of the 6k steps / 30 epochs from v0.5 plus whatever was in v0.5.</li><li>Oral sex is a lot better than before, hands can hold the penis, but jerking is iffy.</li><li>It can do POV content sort of but random penis head position occurs a lot.</li><li>Larger penisses still tend to come out, but it can do smaller penis.</li><li>Remember to anchor penis if getting detached dick.</li><li>Unfortunately I did not caption freckles so you maybe want to put it in negative prompt. Tattoos and tanlines too.</li></ul>Technical notes about v0.7training:<ul><li>Loaded LoRA weights from Epoch 60 via init_from_existing </li><li>Reset global step count to 0, starting a new training run with inherited knowledge</li><li>Added 30 new captioned videos + 30 images into the dataset (same resolution)</li><li>Maintained prior dataset entries for continuity and reinforcement</li><li>Continuing training from loaded LoRA does not poison data but I am worried maybe its over trained? Or something is giving me darker generations.</li></ul>Workflow:I also will include a workflow .json file so you can see what nodes and settings I have. For the most part its just Kijai's standard wan 14B t2v fp8 model optimized for use with 3090 (tea-cache, slg, torch, sageattn, CFG star zero, etc...). For the sake of genning as much as possible I set my frames to 65 and use the wan default 832x480 resolution with interpol frames / upscale I get maybe around 10 mins or so per 4 sec clip.Sample prompts (updated for v0.7 I will update these later tonight right now is old content) :A high quality video of a nude woman sitting comfortably on a wooden chair in a softly lit bedroom, PENISLORA fully erect and resting against her belly as she gently strokes it with one hand, the camera fixed directly in front of her at chest level, subtle body movement as she shifts slightly in the seat, warm and intimate atmosphere, realistic styleA high quality video of a beautiful Japanese woman with large natural breasts lying on her back on a bed with soft white sheets. She has fair skin and short deep blue hair in an ear-length bob with a hime-style cut, featuring straight bangs and cheek-length sidelocks. She wears a black-and-white maid outfit with the top unbuttoned and pulled open, exposing her bare chest. Her erect PENISLORA penis is fully visible, attached naturally at the base of her pelvis between her thighs. She smiles warmly and looks directly into the camera, her expression relaxed and confident. With one hand, she wraps her fingers firmly around the shaft and moves it slowly up and down in a stroking motion. Her balls rest softly against the bed. The camera is positioned directly above her, capturing her full body from head to pelvis, with her entire face clearly visible in the frame.A high quality video from the point of view of a passenger sitting on a public city bus, directly facing a beautiful Singaporean woman seated across the aisle. She wears a tight white knit turtleneck sweater with the subtle outline of her nipples clearly visible through the fabric. A short pleated skirt rests on her thighs, and her legs are slightly spread. As the bus bumps gently over the road, she opens her thighs wider, revealing her erect PENISLORA penis, naturally attached between her legs and swaying slightly with the motion of the vehicle. The shaft is flushed and firm, the tip fully exposed beneath the lifted fabric of her skirt. She locks eyes with the viewer and smiles intensely, her expression playful and focused. Around her, other passengers are present, facing forward or looking out the windows, visibly ignoring the scene. The interior of the bus is warmly lit by late afternoon sunlight, and the camera remains fixed in a frontal seated perspective.A high quality video of a beautiful Japanese woman with large natural breasts standing behind a coffee counter in a cozy modern café. She has fair skin and short deep blue hair in an ear-length bob with a hime-style cut, featuring straight bangs and cheek-length sidelocks. She wears only a dark green barista apron tied around her neck and waist, leaving her chest fully bare. Her large natural breasts are soft and fully visible above the apron’s low neckline. Her erect PENISLORA penis is attached naturally between her legs, with the tip peeking out just below the hem of the apron. She stands with her legs slightly apart, smiling warmly and looking directly at the camera. With both hands, she holds up two takeout coffee cups, presenting them proudly. Her balls rest gently behind the fabric of the apron, visible at certain angles. The camera is positioned above and angled slightly forward, capturing her full body from head to knees in a bright, warmly lit Starbucks-style setting.Negative prompt:色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，倒着走, 模糊的眼睛,低细节面部,水印, 图层, 故障, 面, 屏幕残影, 图像干扰, 刺青, tattoo, 晒痕, muscles, biceps,(notes I added in tanlines, biceps, muscles and tattoo since those started appearing in this version more often)I made this because while the erect penis loras already here for Wan are great, I didn't like some of things such as gigantic dicks only, surgery scars, trained on men, or aggressive tan lines. This data set is only transgendered women and I tried to get photos of women with more natural and feminine bodies/breasts and not overly huge dicks (though there is some in there). The videos also feature cum shots and masturbating but the LORA in its current state isn't quite good at either. I would recommend this for more for jerk free or non hardcore videos. Though I've had some success with both jerking and cum in the videos. This model really shines on close-ups and lower camera angles going up. That said, this LORA works perfectly fine with men so don't worry.Some tips (updated for v0.7 I will update these later tonight right now is old content)<ol><li>You need to anchor the penis to the body in the right location. For example include: The woman’s erect penis is naturally attached between her legs.</li><li>Cum is now trained a bit better, it will go out of the tip of the penis, and is more cum-like than last version. Still though it needs more training. Their mouths remain closed and dry, with no fluid near their lips. Thick white cum shoots from the tip of her penis,</li><li>The lora now has various angles like profile and above but still not able to do POV angle and the penis head is biased for frontal view. I will try to get more out of it in future versions. You will get some wonky looking dicks depending on if they stray too far off from the front.</li><li>I tested it with other loras and for the most part pretty flexible and works fine. But you may wanna play around with the strength when mixing.</li><li>This new version tends to elongate dicks, but you can get smaller dicks. And you may have to play around with prompt or seed to get not overly long dicks sometimes.</li><li>Mouths now tend to naturally move towards the penis and suck on it. It is also trained and captioned with "deepthroat" words and content.</li></ol>Warning:I labeled this as a "BETA" because I feel its unfinished, you can get some real great realistic looking dicks out of this, but its very easy to get deformed monster cocks too... I will try to fine-tune and also just pick up training again. My next big project is to tackle something like the Ghibli lora for another anime I like, this lora really helped me learn about how to prepare data set and caption videos as noob to WAN training. Please provide constructive feedback if you like, and I can work on getting this lora in a more stable and useful state, I think though it can get the job done in its current form so please give it a try.

PENISLORA_epoch42e62e14.safetensors

WanVideo2_1_T2V_04970 example workflow.zip

v0.7 14B T2V

Qwen V2

ZImage Turbo V2

ZImage Turbo V1

Qwen V1

WAN 2.2 14B I2V- Low v1.1

WAN 2.2 14B I2V-High v1.1

WAN 2.2 14B I2V-Low v1.0

WAN 2.2 14B I2V-High v1.0

Wan 2.2 14B T2V - HIGH-V1

Wan 2.2 14B T2V - LOW-V1

WAN 2.2 5B ti2v

v0.8 Wan 2.1 14B T2V

v0.7C Wan 2.1 1.3B T2V

v0.7b 1.3B T2V

v0.7a 1.3B T2V

v0.6

v0.5

Trigger: PENISLORAThis is a 1.3B T2V version of my penis lora. It does for the most part everything the 14B version does(though a bit more poorly).Its trained to 90 epochs (that's over 90 hours of training locally on my 3090...) at 5 repeats and 19,600 steps. I think I will do one more run over night for 100 epochs, but for now will release as v0.7b. There should be no reason to use v0.7a at this point.Check the example workflow for ideal settings. I kept things at 1 strength but I think you can play around with it. I didn't do much experimentation. And a big thanks to the help from everyone including Kijai at the banodoco discord for how to properly set 1.3B settings.Check the example generations for example prompts or try from those listed in 14B v0.7 lora.1.3B is kinda fun with how fast you can shoot out gens, but there is obvious limitations with this model. After 0.7c is released, I think I am going back to 14B and working on getting that to a good place before I revisit this again.

PENISLORA1.3Bepoch90.safetensors

Notes about 1.3B version which is whats new here:Warning: I haven't done much in terms of testing, this may be overtrained. Try the epoch99 and compare to 109, 99 had good results and I haven't had time to do comparisons or do many generations at 109epochs. I'll do some tests later and if its better then I will revert to 100 epochTrigger: PENISLORAThis is a 1.3B T2V version of my penis lora. It does for the most part everything the 14B version does(though a bit more poorly).Trained to around 109 epochs and 23,900 steps (109 hours, around 4.5 days straight of training locally on my 3090). Unless I add new training data, I think we are starting to get into over trained territory. In the coming days, I will work on adding more data and retraining the 14B model lora and if it works out then I can update this 1.3B with a v0.8. Check the example generations for example prompts or try from those listed in 14B v0.7 lora.

WanVideo2_1_T2V_04970 example workflow(1).zip

PENISLORA1.3Bepoch99.zip

PENISLORA1.3Bepoch109.safetensors

Files with SHA256: 313de6d604df242de3aed22599d0e603ad24b5b4183dfdad269b9efb95cebd74