š¤ šHip-slammin' assertive cowgirl!šš¤
WAN 2.2 NOTES
(WAN 2.1 NOTES DOWN BELOW!)
Update- There are much better 2.2 cowgirl loras out now. Use this High Noise lora if you want the aggressive "hip slammin" body motion, but I recommend you rely on other loras for accurate naughty bits!
Trained on 2.2 I2V A14B model. Massively increased dataset over the 2.1 version. Other camera angles work much better now, but POV was still the focus of the training data.
Weight 0.7~1.0 ... 1.0 is usually fine
Some of the start images can be seen here: https://civarchive.com/posts/21124019
Sample workflow in the 'training data' download. https://civarchive.com/api/download/training-data/2129122
HIGH model is trained on the actual 'hip slammin' motion.
LOW model is trained only on genital close-ups.
My thinking is that this gives base Wan more freedom to work out her facial expressions in the low noise steps. The low noise lora only helps where it's really needed- the genitals... Whether this assumption is actually accurate š¤·āāļø but training both on the same dataset resulted in noticeably muted facial expressions.
Base trigger:
a woman is straddling a man and eagerly having sex with him. she is squatting.Helpful (highly recommended) phrases
(trained-in to the low noise lora)
The man's penis slides in and out of view as it enters her vagina.His penis is penetrating her vagina. you can see his penis sliding in and out of her vagina.Helpful movement phrases:
she moves quickly.she moves energetically.her hips move quickly down on his penis.she vigorously slams her hips down on the man.she is quickly moving her hips up and down. I also found that increasing the high noise CFG to ~6.0 helps a lot with movement on this lora.
Still not perfect- penis often 'smooths out' losing any texture/veinyness. And sometimes it just totally breaks.
You can run just the HIGH version, but may end up with accordion cocks (penis getting smashed under her hips rather than entering her pussy).
Since the lownoise lora is only helping with genitals, you can probably substitute other NSFW/penetration lownoise loras. No guarantees.
WAN 2.1 NOTES
DISCLAIMER: Trained on 14B T2V model. But REALLY meant for I2V. Listed on Civit as I2V.
I made this for personal use and decided to share. I offer no warranty.
Input images including prompts can be seen here. https://civarchive.com/posts/16809770
I love the other Wan cowgirl's, but I wanted something a little more aggressive and in-your-face.
So this one is trained on "squatting, face focus, assertive" cowgirl, where the woman slams her hips down on the cock while her upper body remains mostly stationary.
weight 1.0 works fine for most I2V. But try range 0.7~1.0
No trained trigger word, but I took some hints from other Wan sex loras for base prompt suggestion:
a woman is straddling a man and having sex with him. she is squatting. you can see his penis sliding in and out of her vagina.Optional š¤ š
she slams her hips down aggressively on his penis. Landscape-orientation inputs seem to give the most consistent results.
It does also work with reverse/ass-view cowgirl, but no anus data was trained, so beware...
Training data was mostly SFM clips, plus a couple anime clips, and some MMD clips. But no photorealistic, which is probably why T2V with this lora is so hideous.
Cock'n'pussy close-ups were included to reduce likelihood of cock horror.
If you do T2V, use weight 0.7 but you can still expect some ugly-ass remi-real waifus.
Description
FAQ
Comments (30)
Are your examples sped up? I get a lot of slow motion in the 2.2 i2v version
The previews are not sped up and are actual outputs using the provided workflow, but I know exactly what you're talking about. I'm not deep enough into Wan 2.2 yet to know why this happens, but seems to happen with other 2.2 loras as well. The 'movement phrases' I suggest, and using a higher CFG in the high noise ksampler seemed to help me. I think some other folks have played with different sampler+scheduler, but this did not help me personally. Also, some input images actually seem to consistently lean toward slower motion. Likewise, some other images tend toward really, really fast motion, but that's just an anecdotal observation. On some really stubborn images that consistently generated slomo, reducing the lora strength to 0.7 seemed to help (but caused other issues). Even changing resolution seems to make a difference, but I haven't tracked this closely enough to have any real data on how resolution affects output. Lastly, I noticed on both this lora and my 2.2 footjob lora, that it seemed as though longer/more complex prompts resulted in faster/normal motion, but again, anecdotal. I don't have a definitive answer at this time...
icelouseĀ I think as well that using a lightx lora on the high noise model specifically tends towards slowmo. On the examples I've run where I've removed it (same seed), it's usually produced a normal speed video. Still more testing to do.
Yes, the problem are the lightning loras. The best solution to finish with the slowmo videos i tried is to use 3 Advanced Ksamplers: First, one for High Noise model without the lightning lora and CFG >1, the next one, for High Noise model too but using the lightning lora and CFG 1, and finally, the last one with Low Noise model, CFG 1 and using the lightning lora. Usually i use 6 steps total, with 2 steps for each phase. This works really good for t2v and for i2v.
icelouseĀ Please forgive me because I haven't actually looked at your workflow, but my guess would be that you're still doing 12fps like WAN 2.1 wants, but WAN 2.2 actually outputs animation speed targeting 24fps.
sirdrakĀ for this setup, what is noise config? do you return with extra noise between steps 1 and 2, add noise between steps 1 and 2? I am just getting a noise fest trying 3 advanced, where 2 just works.
psspsspsspssspssĀ Noise config for each Advanced ksampler:
- 1st: Add_Noise: enable. Return_with_leftover_noise: enable
- 2nd: Add_noise: disable. Return_with_leftover_noise: enable
- 3rd: Add_noise: disable. Return_with_leftover_noise: disable
ArtificialSweetener_Ā only the small model is 24fps. The 14b model is still 16fps
sirdrakĀ The key to start getting good results was to bump the shift up to 5. I was using 3.5 from my two-stage flow, but this was too noisy for the non-lightening stage.
@psspsspsspssspssĀ I'm using shift 7-8, actually 8... And the results are really good.
FANTASTIC WORK! CONGRATS! WAN 2.2 T2V, PLEASE!
does the starting image already have to be in a cowgirl position?
Nope. Doesn't even have to be close. I should have an example in the gallery below once it clears moderation.
This wan is insanely good, well done
Great work with LoRA! Could you share your training experience? It would really help those of us training our first Wan lora.
Gj on the Lora, few posts are in review now. One thing I'm struggling with (but perhaps more WAN in general)... Motion seems to have to 'ease in' --> It takes a while for the motion to catch speed. Is there any way I can prompt / engineer around this so that it instantly starts?
Reason for asking is obviously the lack of a decent GPU which allows for longer renders.
I fine generally describing the motion at the start of the prompt, rather than a bunch of descriptors, is really helpful for getting it to start asap / faster.
Awesome lora. One thing I keep running into though is that the woman will come up fully off the penis, and the tip of the penis is just a rounded shaft with no head. Any tips to keep it inserted?
Amazing job again! You do such great work! I was so happy that it worked for male models, too.
wowwwwwwwwwwwww
High noise str 0.70 - low noise str 1.00 works fine for me. If you guys having problem with motions while using lightning lora; lightning high: 0.65 - low str: 1.00. Dont forget to decrease cfg and steps if you are using lightning with this lora ( or any other loras). Its just keeps killing the motion if you dont. I just started a week ago in these ai video things and If its helpful for you guys, I am appreciatedāš¼
Changing the weights alone didn't resolve 'slow motion' issues for lightning for me - but using a 3-sampler approach DID solve the issue. See this post for details: https://huggingface.co/lightx2v/Wan2.2-Lightning/discussions/20#6897529022ebf7a1e53df7c7
@kurokuroĀ I have heard that 3ksampler approach a while ago. I wanted to try it myself too. Also I found that this "slow motion" issue has a couple of reasons. For example, lora weights, fps-lenght compatibility and so on. I'll take a look at that 3sample thing again. Thanks man
High noise section is supposed to generally have more strength than low noise section and using a lightx speed lora on the high noise side in a two-sampler workflow is problematic.
Running no lightx on the high noise side and 1.0 strength on the low noise side in a workflow like Fusion-X Ingredients is generally good for almost never having slowmo problems unless it's introduced by a poorly written lora (like the cinematic lensflare one, which kills both inference aesthetic and action.
Lightx lora usage on high noise side can work in a triple sampler setup where the first high noise side gets no lightx and then second high noise and low noise can use strength of 1.0 though in t2v I've found the 2.1 version of t2v lightx used in both high and low spot is better than the "2.2" version with high and low separate models.
@BRai4now Yeah you're right. But for now, I'm using cloud based system. so, I got no problem generally with vram or system ram usage. Sometimes I'm renting a GPU which gives 80gb vram and 100gb System Ram. So, yeah I'm giving money but no vram restrictions and OOM risk. 3Sampler method is a real life saver as you said
@ValarDohaerisTRĀ and I've not tried it yet, but saw my first quad sampler setup, but that may just be silliness and offer no actual benefits.
For I2V on Wan2.2 did not worked well. Animation was in slow-mo no matter what and it never got the penis inside the vagina shown properly.
I tried many different ways but the results were the same at least for I2V.
Shame, but I wont be able to use this.
I see you edited the model text to say you recommend the other 'cowgirl' LoRA, and I could not disagree more. Yours is consistently more engaging, energetic and flexible when it comes to added environmental or situational changes.
- Can you ask for Zeus to toss Lightning bolts when she cums with the other LoRA?
- Can you have a random person open the bedroom door, and She keeps bouncing while telling them to F-Off, with the other LoRA?
Nah, You've got a masterpiece here. Go to the other LoRA if you want a person that has sex.
Grab this one if you want someone that FUCKS.
I second this opinion. While I'm still working out my low-noise refinement due to penis issues, the results are already exceptional. Engaging... you can say that again. I just feel more of a connection with the act using this LoRA.
I agree with this
Details
Files
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
Mirrors
w22_i2v_Assertive-Cowgirl_L.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl (1).safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
101_Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl-feb19.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
Wan22-I2V-LOW-Cow.safetensors
Assertive-Cowgirl-LOW-2.2.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
CowgirlAssertive_LOW.safetensors
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AssertiveCowgirl-L.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
Hip_Slammin_Assertive_Cowgirl_Wan22-I2V-LOW.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
co-low.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
WAN 2.2 - Cowgirl - Wan I2V (2.2 & 2.1) - Assertive Cowgirl LOW.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
儳äø2L.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
Wan22-I2V-LOW-Cow.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
wan2.2-i2v-low-assertivecowgirlPOV.safetensors
Wan22-I2V-LOW-Cow.safetensors
w22_i2v_Assertive-Cowgirl_L.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
OnTop_Slam_LOW.safetensors
WAN-2.2-I2V-SLACOW-LOW-v1.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
Wan22-I2V-LOW-Cow.safetensors
w22_i2v_Assertive-Cowgirl_L.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
Wan22-I2V-LOW-Hip_Slammin_Assertive_Cowgirl.safetensors
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