UPDATE: v1.1
v1.1 has significantly better thrusting motion from the guy, overall I think it is much better than v1.0
All the showcase videos were generated image2video with 10 steps with the prompt:
"Pl0wView. Video of a woman being fucked doggy style by a man from behind. Her face expressing intense pleasure and moaning. The man aggressively thrusts deep and hard into her rhythmically causing the woman's ass and breasts to bounce and jiggle in rhythm with his deep and hard thrusts."
v1.1 was trained on the 480p i2v 14B model with diffusion-pipe on 22 videos for 30 hours on two 4090s.
-v1.0 - WORK IN PROGRESS
This model is for doggy style action with the woman facing the camera. In my testing I found the faces generally turn out pretty good, however control of the man's movement needs work. I will be working on improving the data and coming out with v1.1 sometime. This initial training run took 22 hours on two 4090s.
Trigger word is: Pl0wView
Try it out and let me know what you think. Feedback on what works well and what sucks is appreciated. I generated about 50 videos in testing but it takes a long time so I haven't tried out everything.
Description
v1.1 was trained with diffusion-pipe on 22 videos for 30 hours on two 4090s.
FAQ
Comments (39)
trained on i2v or t2v?
It was trained using the i2v model. I don't know if that means t2v won't work. If you (or anyone else) try it with the t2v model let us know if it works or not, I'd appreciate the feedback!
@lazerblazer yeah usually that means it won't work as good. the recommended training is always to use the t2v model because that works on both the i2v and t2v whereas a lora trained with i2v only works on i2v
@crombobular Ah, I didn't know that! I am already getting a data set together for my next lora so I will test out training on the t2v model.
@lazerblazer while T2V loras work for I2V I've heard I2V loras are still better (for I2V). I2V loras don't work for T2V at all though I think (base Wan just is just too much of a prude).
nice!
Can you please do a t2v version :(
No, this took a long time to put together and I think it turned out quite good for i2v, which is what I personally use. It is what it is. Other users have reported that my other loras work for t2v, so it may be worth trying, however I don't use t2v so it is untested by me.
Very not natural. Mostly small head , big body. Like mutants
thatsmyfetish.gif
That's just my source images used for the image2video generation being weird. My image workflow has a lot of trouble getting good front view doggy-style poses with normal proportions (it's a skill issue). All the training for the lora was done on real life videos so the proportions it's trained on are natural human proportions. If your source image has normal proportions, the model won't change them.
can anyone help me make video on s d
how many frame per second do you advise to have a great motion ?
WAN’s default fps is 16, so I do first run at 16 fps then I interpolate up to 32 fps. Not sure if that’s the best way or not.
Great LoRA! Thanks. I only wonder what is the proper prompt or what TextToImage LoRA does the standing bent over pose? The one with the bum up and hand and feet on the ground.
Please change your base model of this lora to wan 2.1 720p & 480p so that we can use this lora in new wan generator thank
Just now seeing this, the model has been updated now so hopefully it works on the generator.
It won't load when using wan2.1-i2v-14b-480p-Q8_0.gguf for some reason. Does it only work with certain models? So far, this is the only LORA that throws an error.
Tested it, it was good! although it has a problem with the eyes, it seems like it distorts it when moving, even with CFG10 and 80 STEPS. Looking forward to see it fix in the next update! TY for this incredible work!
Why do female characters also generate a penis when I am i2v?
I put the video you showed directly into comfyui, and the result is a "Upscale Factor" node missing from the workflow, and its output port is "INT". I didn't find the missing plugin in the Manager, how do I get it or a node that has the same function as it?
In that workflow the node is just passing a 2, so any node that you can get out output an INT value of 2 will work. That specific one is from ComfyLiterals. I can see it on Comfy Manger, not sure why its not finding it automatically.
lazerblazer Thank you so much! This helped me a lot as a beginner!
I am getting a
mat1 and mat2 shapes cannot be multiplied (77x768 and 4096x5120)
error when using the wan2.1. Which model was this used with to train?
what is the seed?
How do I test
Does it needs to put the lora on both high and low?
works on wan 2.2?
It works, but its not very good on 2.2.
if you use a mixed diffusion model like smoothmix, it guides the motion well enough
Works great with Svi/smoothmixv1!
It wont work and i used 480p + your example prompt. I tested it with checkpoint boundbitehighspeed (thats with the speedlora) and without speed lora: boundbitetruevision. I tested both with 10 steps. The strength on the lora high+low i tested 0.8 and 1. What am i doing wrong? I'm kinda new to this but i wanna learn.
It doesnt work, i tested also cfg 1 and 2.8.. no matter what. i dont get it.
You use the lora only on high if you only have 1 file right?
This lora was trained on the base I2V Wan2.1 model. I do not know if it works on other checkpoints, I can't help you there.
@teeay25225 This lora is for Wan2.1, not 2.2 where there is separate high/low models. I don't know it works for 2.2, probably not very well if at all.
Details
Files
front_doggy_plow_v1_1_wan.safetensors
Mirrors
front_doggy_plow_v1_1_wan.safetensors
front_doggy_plow_v1_1_wan.safetensors
dfov.safetensors
front_doggy_plow_v1_1_wan.safetensors
I2V - Doggystyle From Front - 720p.safetensors
front_doggy_plow_v1_1_wan.safetensors
front_doggy_plow_v1_1_wan.safetensors
front_doggy_plow_v1_1_wan (1).safetensors
front_doggy_plow_v1_1_wan.safetensors
front_doggy_plow_v1_1_wan.safetensors
I2V - Doggystyle From Front - 480p.safetensors
I2V - Doggystyle From Front - 720p.safetensors
front_doggy_plow_v1_1_wan.safetensors
front_doggy_plow_v1_1_wan.safetensors
front_doggy_plow_v1_1_wan.safetensors
I2V - Doggystyle From Front - 720p.safetensors
115_front_doggy_plow_1_wan.safetensors
159_front_doggy_plow.safetensors
I2V-Doggystyle_From_Front-720p.safetensors
I2V - Doggystyle From Front - 720p.safetensors
I2V - Doggystyle From Front - 720p.safetensors
I2V - Doggystyle From Front - 720p.safetensors
I2V - Doggystyle From Front - 720p.safetensors
I2V - Doggystyle From Front - 720p.safetensors
front_doggy_plow_v1_1_wan.safetensors
Wan-Doggy-Style-From-Front-720p.safetensors
front_doggy_plow_v1_1_wan.safetensors
wan_i2v_doggy_front.safetensors
front_doggy_plow_v1_1_wan.safetensors
front_doggy_plow_v1_1_wan.safetensors
I2V - Doggystyle From Front - 720p.safetensors
front_doggy_plow_v1_1_wan (1).safetensors
front_doggy_plow_v1_1_wan.safetensors
wan2.1-i2v-s-dog-front-480.safetensors
front_doggy_plow_v1_1_wan.safetensors
front_doggy_plow_v1_1_wan.safetensors
dgyfnt.safetensors
front_doggy_plow_v1_1_wan.safetensors
wan21-action-front-doggy-plow-v2.safetensors
front_doggy_plow_v1_1_wan.safetensors
front_doggy_plow_v1_1_wan.safetensors
I2V - Doggystyle From Front - 720p.safetensors
I2V - Doggystyle From Front - 720p.safetensors
wan21-action-front-doggy-plow-v2.safetensors
front_doggy_plow_v1_1_wan.safetensors
front_doggy_plow_v1_1_wan.safetensors
I2V - Doggystyle From Front - 720p.safetensors
front_dog_plow_v1_1_wan.safetensors
front_doggy_plow_v1_1_wan.safetensors
front_doggy_plow_v1_1_wan.safetensors
Wan22_Pos_dogg_front_dgg_plw_v1_1_wan.safetensors
front_doggy_plow_v1_1_wan.safetensors
front_doggy_plow_v1_1_wan.safetensors
front_doggy_plow_v1_1_wan.safetensors
front_doggy_plow_v1_1_wan.safetensors
front_doggy_plow_v1_1_wan.safetensors
front_doggy_plow_v1_1_wan.safetensors
Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.