Updated for Wan 2.2. I'm pretty happy with the results of this one. The movement seems decently high speed, even when using the lightning loras. It's likely even better without the lightning loras, but I haven't checked. All of the previews were created using the lightning loras. The workflow I used for the samples can be downloaded by using the training data download.
Here's the important part of the prompt:
A man is {standing|kneeling} in front of her positioned between her legs thrusting his penis back and forth in her vaginaDescription
Much better dataset and trained for wan 2.2.
FAQ
Comments (25)
looks good!
Wan2.2 version looking good
This looks great! Thank you!
Would have been a 10/10 if you included workflow in your samples.
The workflow is the training data download.
Really nice LoRA. Doesn't force white people. Face variety intact. Body type variety respected. Good motion. Penises still need some help, but that's pretty normal.
Totally agree. Wish the author shared his wisdom and experience.
@zanebe There's not a ton to say, really. For this one I had a much larger variety of source videos with as much variation as possible, but clipped to the 3 or so seconds that show the movement best. I think the number of different source videos with different people is why it handles faces and races much better than other ones I've done. The limiting factor here is just how much time it takes to get the samples and caption them. I just put more time into it this time (honestly the process sucks, so it's hard to find the time/movitation to do this).
I trained the highnoise at 256 resolution on videos only, and the lownoise on the same videos, but 400 resolution, and also a bunch of images at 720 resolution.
@dtwr434 how big dataset was? Captioned manually?
@zanebe I ended up with 55 3-second video clips, probably sourced from something like 35-40 videos. Sometimes I pulled 2 clips from one source video. I had 18 images included for the low noise training as well.
For captioning, I use joycaption to get the initial text created, and then I heavily edit it manually. On some images, it does better than others. Sometimes I have to replace everything except its description of the background.
@dtwr434 Thanks!
No one is forcing White people, they just want to see that.
How to use this lora in I2V?
Just use it. You can use i2v with t2v but not the other way round.
@Yoorak_Hunt what does that mean, just use it means you cn use it but then you are saying i2v with t2v ok but not other way roung?
The general idea is that T2V can be used directly in I2V, but I2V cannot be used directly in T2V. Based on my own experience, if you want to use T2V's LoRa in I2V, the T2V's LoRa weight can be adjusted slightly higher, within the range of 0.8-1. I hope this helps.
Possible to share what workflow you use. my t2v never look this clear. I guess my settings are wrong
The training data download is the workflow.
@dtwr434 Thanks for that. When I first read it I was like "what a dick" and then checked and saw, wait, it actually IS.
Why are the images I generate blurry? Is it because I'm using the gguf model?
Try more cfg 3.0
@jaskenxxx119 when i used the standard wan checkpoint i got this, but with secret sauce and smoothmix i didnt. Also upper the cfg helped
Good
I need to recommend this lora to everyone, it comes with a penis shape, and it is different from other thick ones, it tends to be slender. It also supports all lateral postures. Not only missionaries, but also lying down, from the back, 1.2 showed good performance, 0.6 was slower. It can be linked with the lora plug-in class.
This LORA is perfect, nice movement, intens. Charachter LORA's blend in perfectly.... great job!
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wan2.2_t2v_highnoise_sidemissionary_v1.0.safetensors
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wan2.2_t2v_highnoise_sidemissionary_v1.0.safetensors
side_high.safetensors
wan2.2_t2v_highnoise_sidemissionary_v1.0.safetensors
wan2.2_t2v_highnoise_sidemissionary_v1.0.safetensors
wan2.2_t2v_highnoise_sidemissionary_v1.0.safetensors
wan2.2_t2v_highnoise_sidemissionary_v1.0.safetensors
wan2.2_t2v_highnoise_sidemissionary_v1.0.safetensors
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wan2.2_t2v_highnoise_sidemissionary_v1.0.safetensors
SideViewMissionary_HIGH.safetensors
wan2.2_t2v_highnoise_sidemissionary_v1.0.safetensors
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wan2.2_t2v_highnoise_sidemissionary_v1.0.safetensors
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sm-high.safetensors
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dtwr434_sidemissionary-wan2.2-t2v-high-14b.safetensors
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wan2.2_t2v_highnoise_sidemissionary_v1.0.safetensors
wan2.2_t2v_highnoise_sidemissionary_v1.0.safetensors
wan2.2_t2v_highnoise_sidemissionary_v1.0.safetensors
wan2.2_t2v_highnoise_sidemissionary_v1.0.safetensors
wan2.2_t2v_highnoise_sidemissionary_v1.0.safetensors
MISSIONARYSIDE_WAN22_HIGH.safetensors
wan2.2_t2v_highnoise_sidemissionary_v1.0.safetensors
wan2.2_t2v_highnoise_sidemissionary_v1.0.safetensors
wan2.2_t2v_highnoise_sidemissionary_v1.0.safetensors
SideViewMissionary_HIGH.safetensors
wan2.2_t2v_highnoise_sidemissionary_v1.0.safetensors