Wan 2.2:
Download both the highnoise and lownoise loras, and plug them both into your workflow. The "training images" download contains the example I used for the previews.
T2V notes: I did not use the self forcing lora for the highnoise part of the workflow, because I find that it limits facial variety too much. In my testing, this happened with or without the missionary lora plugged in, so if you're having trouble with facial variety, you may have to disable the speed lora for the highnoise step.
I2V notes: This version should handle cases where the penis starts outside the vagina. It can handle cases where there's no man at all in the starting image, however, don't expect the penis to look very good in these cases. Wan still doesn't have a good idea of what they're supposed to look like. As with the T2V version, I found that using the speed loras for the highnoise step causes the results to be less good. For 5 seconds of video, the lightning lora seemed to cause the videos to be in slow motion when using it on the highnoise step. Maybe there are good settings that I just haven't found yet.
Wan2.1:
I2V version: While the T2V model can work really well as I2V, it seems to be picky about resolutions and aspect ratios and things like that. The specifically trained I2V model just seems to work better in more situations. So, it's becoming clear to me that providing an I2V model along with the T2V model is worth it. It uses the same training data as the T2V one, minus the static images.
Version 1.1 Updates: Trained at a higher resolution in an attempt to get higher quality outputs. I also added more training data so there's more movement and bouncing breasts.
Important parts of the prompt:
with her legs spread having sex with a man
...
A man is thrusting his penis back and forth inside her vagina at the bottom of the screen{Movement is fast with bouncing breasts|Movement is slow}Her breasts are {small|medium sized|large}Sometimes it may help to put the things you don't want in the negatives. For example, if you want small breasts, putting large breasts in the negative could help.
Description
FAQ
Comments (103)
nice, now all i need it good lora for creampie/ejaculation then full cycle animation is doable with ease
jesus christ the i2v variant is amazeballs. just fix the peen for the man entering the scene. maybe train on videos with this as an example?
It's hard to find samples of that, though I did have one in the training data. I suspect it'd be better to train a lora specifically to teach it what penises are supposed to look like, and then add that to the workflow. Wan seems resistant to it in any case.
Awesome. Do you have any suggested weights for the high and low i2v?
I just used 1 for both in my samples. I didn't do much experimenting as it seemed fine to me.
nice.
But, a girl's mouth tends to open.
How dare she
very good lora, excellent job!!!. Thank you...
What is best strenght for this lora ? for now, i use H:1.5 L:1 and lightening lora at H:1.2 L:1. is that ok ? thanks
Well, whatever works best for you is fine. I tested it using strength of 1 for both high and low, and did not use the lightning lora for the high steps, as I think it ruins the movement too much.
Hi can you share your workflow json?
It's there if you downlod "Training Images".
dtwr434 oh thanks but these 2 loras are not found, even in model manager WAN2.2 lightning I2V14B.. and Wan i2v lownoise pov missionary..the model i downloaded from your post has only 1 missionary model with different name
You need to download both the highnoise and lownoise loras from here. You can see the tabs at the top. The lightning lora is optional, so you can either use it or not. If you don't use that node, change the cfg, and sampler of the second KSampler to match the first one.
You can get the lightning lora from here https://huggingface.co/lightx2v/Wan2.2-Lightning/tree/main
Actually, I think I got these lightning loras https://huggingface.co/Kijai/WanVideo_comfy/tree/main/Wan22-Lightning. Not sure what the difference is.
dtwr434 dtwr434 Thanks i figured out the tabs already and thanks for sharing these loras.However it says sageattention not installed though its installed via pip install sageattention. I have a blackwell GPU though. can i skip sageattention nodes?
SuitableCar Yeah just turn them off or delete them.
dtwr434 I ran after disconnecting sageattention node..I connected others,,,but i get all noise in generation..is this json correct? https://pastebin.com/NZ02guzQ
SuitableCar In the second KSampler, you should change the steps from 20 to 9. Since you're using the lightning lora for the lownoise step, you only want it to run 4 steps for that part of it. Otherwise, I don't see anything obviously wrong.
@dtwr434 How to get the workflow from that vid? i tried to drag to comfyui did not work
Seems to sorta works, but man penis is always this weirdly smooth straight finger-tentacle thing that moves clockwise around pussy rather than going in and out of it (with both sample promp and gallery prompts). Also hands often hold the tentacle thing like somekinda sextoy... it NEVER moves in and out like in any image (wan 2.2 t2v, no other lora, 4.5 cfg, 18 steps)
Hmm, no idea what would be causing that. I never saw that myself. It almost sounds like the lora isn't being loaded at all for you.
dtwr434 dtwr434 it's loaded in the rgthree powerloraloader node, model is plugged into that loader, then the output model connects to the SD3 Sampler node. Each track has its own lora loading node.
GroundDog24 hi where did you get this lora from ? WAN 2.2 lightning I2V A14B 4 steps lora low fp16?
SuitableCar No its just the default 2.2 t2v fp8 high and low wan base models. No idea what one you are talking about.
Are you using this with any other LoRAs? I had the same issue and tracked it down to LoRA conflict, working on resolving it now.
dixienormus935 Nope just High/low Noise Base model > lora loader (1 model) > SD3 thingy > ksampler as per default workflow.
hmmm interesting, you could try looking at using RYS4LYF or another sampler, but I'm not getting that issue when using just this LoRA
hey bro i want to know your train data,
how may videos u use and whats resolution.
and what epoch, did u also blur the face in video
What did you use to generate your starting images for I2V samples? The quality looks incredibly better than the T2V samples and I like that they are in landscape.
I used cyberrealistic pony for most of them. For a couple of them, I tried out Chroma just to see how it would look.
dtwr434 Pony is fantastic for general erotic prompt adherence and non-realistic character loras but in my experience it struggles with realistic character loras, which is why I usually train them in WAN and then use T2V. But then prompt adherence becomes an issue. Have you been able to train realistic character loras for use on cyberrealistic pony?
Clocksmith No, the character loras turned out bad when I tried it a long time ago. I had a bit of success using regular SDXL cyberrealistic + SDXL character lora to do face detailing afterward, and it got it a little closer. I don't really use I2V myself, so I don't know what the best solution is for making starting images. Wan T2V works well enough for me.
dtwr434 Interestingly I am getting really good results with my WAN 2.1 realistic character lora with the new T2V cowgirl lora
https://civitai.com/models/1865114/cowgirl-reverse-cowgirl-sex?modelVersionId=2111171
Maybe it will work with your T2V as well.
Hello, I am new in AI photo generation, and looking for someone who could teach me how to generate videos like the one above, and I pay you for this service of course ;) thank you!
Dang, this guy got thumbsdown bombarded out here... lol
jeyjeysig haters passing up easy cash lmao. stay broke, "AI Enthusiasts".
get a gpt sub, give it your specs, explain you want to use wan i2v in comfyui for nsfw and you know nothing, then have it run deep research on the topic.
@Narzhow did helping him go?
@EthrealSkull i got no rig, can barely run Flux.1.
go to stablediffusionart.com. I'm just finishing his course now. It's like 15 bucks for a month's access and it's as thorough as you could want. It's very simple to follow, goes step by step and takes you through all versinos of stable diffusion, flux, and comfy UI.
It's not EASY and takes discipline, but it's basically a college course in ai image generation.
@jazgalaxy581 ah thanks, i know how to run it, i'm just on a mac with 18gb ram. my only option is Draw Things or Comfy at considerably slower speeds. not about to learn comfy; ALL these clients are gonna go away soon when someone streamlines genAI for mass consumption. we've had fun but we'll be obsolete as our acquired 'skills' with current GUIs will be useless.
@Narz You're absolutely right and that's a frustrating element. But I think it will be a while before we really get a general purpose consumer grade ai model that does what a trained user can do at the moment. The weird thing about generative image-making, and you can see it here on Civitai, is that it's "wow" factor is high when you are being bombarded with a page of random stuff. But as soon as you start trying to make it do something SPECIFIC, it really starts to show how limited it is. And maybe that gets solved overnight. Ai is moving quickly enough that it may be. But I really start to wonder if maybe we're there's a small amount of smoke and mirrors happening that makes it look like we're further along than we really are.
@EthrealSkull chat gpt does not know the existence of wan2.2 in his last training. Will only say bullshit about wan2.2, doesnt know what it is yet
@atenea_27 You can feed it documents/files then also have it do deep research on the topic, I think files can be included in the deep research as well.
@atenea_27 I think you're out of date, brother. ChatGTP is online now. It pulls it's information from the internet, not it's last update as it used to years ago. It is very current and knowledgeable about Wan2.2.
Still need help? :>
Very nice job!
great job! can you train on other races than white also?
I'm using I2V and have an anime image. She has panties on though and no matter what I seem to do it won't get rid of the panties just goes through them. Does anyone have suggestions on what to modify to fix this issue? I'm using the Wan 2.2 14B Image to Video workflow from the Comfyui browser examples and adding my loras inline with the High and Low Lightx2v loras. My loras are using the LoraLoaderModelOnly node as well. Right now I am using only the Pov Missionary H and L loras for experimentation.
its hard to get pulling panties to the side with base 2.2, kind of a seed lottery deal. you might have better luck trying to do that as one gen, then use the last frame of that to do the second gen
Hey everyone, any workflow recommendations?
Honestly this is the only one I've needed for 2.2 I2V: https://civitai.com/models/1818841/wan-22-workflow-t2v-i2v-t2i-kijai-wrapper
Just grab the regular I2V one, the others are hit or miss.
@duhsmith84631 Thanks
Using I2v with the lightx2v lora, I can not seem to get a deep and full thrusting, just a poking the tip in and out... Any ideas for a good prompt?
Try it without lightx2v, in my experience it really messes up movement. 20 steps total (12 on high, 8 on low) has been working well for me recently.
@TwoMoreLurker Ain't nobody got time for that :/...
20 steps means like an hour generation time for 121 frames on my 5070ti....
@haenlesn937 Yeah 131 frames takes me like 35 minutes, it sucks. Especially when it finally finishes and you get some weird AI taffy dick or a crazy look on her face XD
Yeah, I'm kind of in a spot where I don't really feel like 2.2 is worth it, because it's too slow, and lightx2v ruins it too much.
My understanding and experience is telling me these days that if you get bad results, it may be your image and not your prompt. Gen Ai predicts "the next step in a sequence." If it's not obvious to the computer what the next step (frame) should be, it will start to choke and the actors in your scene will start to behave like they don't know what they are supposed to do. You need to try to go for stereotypical scenes where it's obvious what is supposed to happen next. In this case, it will be scenes closest to the training data.
不使用lightx2v,CFG3.5 ,高低都是12步。这个LORA比较耗时间
Impressive samples. Is this available in a (realistic) POV Missionary Anal version, or has anyone reported success at prompting this? I have yet to work with video AI gen, just got a new GPU so it's finally viable. Thanks.
Very nice models!
Does everyone start off with nude photo first? Or can I use an image with a model with clothing on for starter? I found wan 2.2 i2v still very much have safety guardrail on, it usually returns yellow clothing despite giving instruction to remove or take off clothing.
Any advise here?
haven't try one with clothing on for input image, but yellow/skin color clothing may be your generation model's doing. There's a lora to remove clothes if you really have to start from fully clothed, but if the genital is already visible, or the pose match, i think there should be no problem using this lora. i have some that have upper clothing intact, the breasts are still bouncing, and everything else also seems fine (kinda like wan2.1 version better tho)
Yeah I got the yellow clothing thing too.
My video generation time is increasing by around 50-60% while using this lora with Wan2.2. Is this normal?
That doesn't sound normal. Is this lora the only one doing it? Maybe if you're right at the edge of your RAM or VRAM or something, it has to do more swapping or something? I don't think there's anything about how a lora is trained that would cause slowdown though.
I'm sorry. It was just a wrong observation. Great job with the lora man.
Btw, can you share your workflow please?
@budgetai123278 The "training images" download should have the json workflow I used to make the preview videos.
Strangely, I get better T2V results using the 2.2 I2V model combined with the 2.1 DR34ML4Y_AIO_PREVIEW_V1 at 2 high strength and 1 low. So literally the only 2.2 T2V model involved in the output is my character lora.
Edit: This was a prompting issue. The I2V version continues to be surprisingly effective with any missionary / sex prompt. But once I used this prompt adapted from your examples with the T2V, it became the best T2V missionary lora I've used for maintaining character likeness: "tr1gg3r is lying on her back with her legs spread having sex with a man. She looks up intensely at the viewer with her lips slightly parted. Movement is fast with bouncing breasts. A nude man is rapidly thrusting his penis back and forth inside her vagina at the bottom of the screen. Her breasts bounce up and down with a lot of force. The view overhead from above and POV."
What are best weights for hi and low noise loras? I can see face is being a bit blurred on 0,8. Is there a quick way to fix this?
Nice Lora!
I love using your Lora, thank you for taking the time to create these. My only complaint would be not being able to prompt hands into the scene, no matter what I've tried. Waist, thighs, breasts... I can't get the man to touch her with any consistent success. If anyone has any ideas, fire away.
Amazing
Works incredibly well!
can you help me setup this in comfyui or any workflow rcomendations pls
I run the workflow with same settings you uploaded with 1024x736 resolution, and it is still running for last 7 hours and not completed. Is this normal? https://ibb.co/Z6cq4yf9
I don't know what your hardware is, but I would say that's not normal. I can't remember if the workflow I uploaded had lightning loras in use, but if not, I think it takes me about 25 minutes at that resolution on a 3090. If you add the lightning loras in, it drops to about 5 minutes. It will take a bit longer than this on slower graphics cards, but it should not take hours.
no that is not normal
how did u get the workflow? i tried to download the vid then drag to comfyui did not work
Amazing
I've been trying to achieve the effect of a clothed character removing half their clothing to reveal part of their body, but when using LORA, the action to remove half the clothing never executes. Does anyone know what I should do? I've also tried removing all clothing at once, but this action is still ignored. I've adjusted the LORA strength and CFG settings numerous times and am truly at a loss.
I solved this problem. Use wan 2.5 on higgsfield to generate a video of the person removing their clothing. Then, export frames and chose the frame you want. Use it in first to last frame and it will work.
When I use the character Lora at the same time, it affects my character's face. How can I adjust this?
Depending on your character lora, you may have to increase the strength of it, or decrease the strength of the low noise missionary lora.
To be honest, for T2V, I've been using the Wan 2.2 highnoise at a strength of 1 for both the missionary and character lora, and I'm using the Wan 2.1 lora as the lownoise, at a strength of 0.7. Sometimes I set the character lora to 1.1 strength. This has been giving me really good results.
You can face swap your character into your starting image.
With the right strength and settings dialed in, this easily is one of my favorite LoRA. Thank you for making something as awesome as this!
mind sharing your settings? Are you on comfyui?
@hmoobguyhero523 I use ComfyUI. What settings do you need to know?
cfg, steps etc. Do you also use loraloadermodelonly or go straight from load diffiussion to model samplingsd3? Sorry, I'm kind of new to this whole thing.
all the videos come out blurry and very very "faded"
proper vae might solve your issue
Put a picture of your workflow in Grok or Chatgtp and it usually can tell you what's wrong
Why does the video I generated move the camera to the lower body, causing the face to be out of the frame? Who can help me solve this problem
Sometimes this will happen if you are using an image that is the wrong size / wrong ratio for the video you are prompting it to generate. For instance, if you use an image that needs to be 'cropped' and the important bits of the image are cropped away (for instance if you are prompting about vaginal sex and the vagina is cropped away) then the video will pan down to that part of the body (because you sorta told it to in the prompt).
Sometimes the workflow you are using is trying to crop as best as it can (for instance to 640 x 480) and if you give it a 800x800 picture, some of the good bits are going to get cropped away. Try using an image that maintains the same ratio (e.g. 1280 x 960 which is 640x2 by 480x2) and it will not crop anything - it will simply resize it.
Or if you give it a picture of a face and talk about vaginal penetration, then its going to pan to a vagina (and even make one up) as best it can. If the face is too far away (if you are going 480 x 640 and it has to pan too many pixels away, goodbye face).
TL:DR: Use a correct size image.
@Farnuge Thank you. Actually, through continuous attempts, I have also figured out the reason. What you said is correct. This problem is mainly related to the initial image I used. The proportion of the characters in the image needs to be appropriate. As long as I find the right image, this problem won't exist.
Do you need the starting frame for this to be effective? How do people usually get that
i see you added training data, but can you share some advice in human language - how many steps did you train, what kind of videos you used for dataset (size, frames, consistensy?)
Thanks!
How do I fix the penis not looking right? It comes out looking like some alien lifeform
Add a penis lora i guess
@rolfwolf820229 how ?
Amazing
Details
Files
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
Mirrors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
pov_high.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_miss_v1.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_pov_missionary_High_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
pov_missionary_HIGH-1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
PovMissionary-H.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_v1.safetensors
POV_Missionary_v1.0_wan2.2_i2v_HIGH.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0 (1).safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2-i2v-high-s-miss-pov.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
missionary_pov.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_high_pov_missionary.safetensors
povhighmis.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
Sex-Missionary_pov_missionary_v1.0_Wan Video 2.2 I2V-A14B_HIGH.safetensors
pov_missionary_v1_high_i2v.safetensors
missionaryhigh.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan22I2vHighnoisePov.nJ8D.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_miss_v1.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan22I2vHighnoisePov.nJ8D.safetensors
pov-missionary-i2v-high-v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_mission_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
03_pov_missionary_i2v_high.safetensors
model.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0 (1).safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2-i2v-high-missionaryPOV.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_high_pov_missionary.safetensors
Wan2.2-I2V-POV-Missionary-HIGH.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
Wan22_Pos_i2v_highnoise_pov_missnr_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
7548baa0-ba09-423f-97ee-7ceab616f7f7.safetensors
92670fbf-961c-4ace-83cf-7cbafc6ccfb9.safetensors
b73c61dd-c0f5-46c3-8f70-5de32bc71012.safetensors
ffe1e6ec-f2f5-4d07-85f4-0c9e472d7dc3.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
C2zjtMDP.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
MISSIONARY_WAN22_HIGH.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
POV Missionary I2V HIGH - Wan2.2 - A naked man and a naked woman having sex. He thrusts his penis in and out of her vagina.viewed from the side.a pov shot.viewed from a high angle.viewed from below..safetensors
POV Missionary I2V HIGH - Wan2.2 - A naked man and a naked woman having sex. He thrusts his penis in and out of her vagina.viewed from the side.a pov shot.viewed from a high angle.viewed from below..safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
WAN-2.2-I2V-PNARY-HIGH-v1.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
a_high.safetensors
POV Missionary I2V HIGH - Wan2.2 - A man is thrusting his penis back and forth inside her vagina at the bottom of the screen.safetensors
POV Missionary I2V HIGH - Wan2.2 - A man is thrusting his penis back and forth inside her vagina at the bottom of the screen.safetensors
wan2.2_i2v_pov_missionary_v1.0_workflow.zip
Mirrors
wan2.2_i2v_pov_missionary_v1.0_workflow.zip
wan2.2_i2v_pov_missionary_v1.0_workflow.zip
wan2.2_i2v_pov_missionary_v1.0_workflow.zip
wan2.2_i2v_pov_missionary_v1.0_workflow.zip
wan2.2_i2v_pov_missionary_v1.0_workflow.zip
POV Missionary I2V - Wan2.2 - A naked man and a naked woman having sex. He thrusts his penis in and out of her vagina.viewed from the side.a pov shot.viewed from a high angle.viewed from below..zip
POV Missionary I2V - Wan2.2 - A naked man and a naked woman having sex. He thrusts his penis in and out of her vagina.viewed from the side.a pov shot.viewed from a high angle.viewed from below..zip
custom_nodes-wan2.2_i2v_pov_missionary_v1.0_workflow.zip
Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.