This LoRA is divided into 2 versions. The t2v version of LoRA has been uploaded, but this version only supports t2v and has poor performance when used for i2v. If you need i2v, please download the i2v version.
I personally think that the t2v effect is not good, and I suggest using i2v instead
This is a concept of sexual intercourse while lying on the bed sideways.
i2v trigger words are:
They are having side sexIn fact, it is OK without the trigger words.
t2v Example of prompt:
Side lying sex. A naked man and woman lying on a bed. The woman is lying on her back with her eyes closed and her head resting on a white pillow. The man is lyinging behind her, with his legs spread apart and his hands on her hips.The background a window with white curtains and a potted plant on a wooden table. The overall mood of the image is sensual and intimate.Description
FAQ
Comments (34)
Finally a lora for this position! Thanks!
That is great! Looking forward to other models.
Can you introduce the training method?
I learned it by watching tutorial videos on the Bilibili video website. I don't know if you can understand Chinese tutorials.
@ivever 老铁,是谁的视频,青龙吗?
@ivever 是用480p训练的?可能是万相底子问题,细节还是容易变异。
@438434789846 是的,就是青龙那个脚本视频,还有汤团猪的,汤团猪训练脚本整合包里有视频训练的范例文件
@438434789846 是的480p,720P太慢了
Unless I'm doing something wrong, this doesn't work for T2V at all. Honestly I don't see the point in this lora - you have to have an image of this exact pose already? That seems extremely limiting and tedious. Why not train for T2V, then it will work for everything, just like all the other sex loras.
The original Wan model is unable to generate a dynamic video of this pose. So I trained this lora to enable it to be turned into a video. So you must first generate a picture similar to this pose: side lying, leg up, Sex or Dildo. Since T2V takes a long time to see the generated video results, I2V allows you to quickly select the picture style you want and then make it into a video.
@ivever Thanks for the response, but I'm not sure what you mean by "The original Wan model is unable to generate a dynamic video of this pose" as a reason why this won't work for T2V. Sure that might be why this particular lora isn't working right now, due to how you trained it, but that's no reason why it couldn't be made to do it, as there are other loras that do poses that aren't in base Wan. So I'm just a bit confused as to why this lora is limited in a way that others aren't. Surely it's no extra effort to make it work with T2V training-wise?
I2V is way more useful than T2V, besides, OP has his own motivations and is kind enough to share. Be nice.
@kangaru861 Wan's checkpoints are divided into i2v and t2v. When training Lora, I can only choose one of them as the basic checkpoint. So the trained Lora can only support either i2v or t2v. It is said that if train with i2v for 10 epochs, and then continue to train with t2v for 10 epochs on this Lora, it can support both t2v and i2v. But this is just the first Lora I trained, and more tests may be needed.
@ivever Thanks for clarifying! It would be great if you were able to do that, as it would make this lora useful for those of us that don't use I2V (my card can barely even support I2V due to the VRAM requirements, and besides I prefer the ease of use of T2V, and Wan's natural realistic style rather than Flux plastic).
Not sure why everyone is downvoting me like crazy. I'm just trying to understand why there are limitations here that don't exist in other loras, and OP has kindly explained it.
@kangaru861 bruh everyone's downvoting because you are being an ungrateful kid whining your ass off for something op shared out of kindness.
normal human would be like “love all the videos! thank you for sharing! sadly I'm using t2v and couldn't get the results I was hoping for. is it possible to train this for t2v too? hope I'm not asking too much!”
grow up dude
@jknt "Kid" 🤣. I'm not "whining", I expressed frustration because I had wasted my time trying to get the lora to work (given Wan is so slow), only to find it doesn't work for T2V, and I wanted to understand why not, because I would like to be able to use this lora.
When I posted, it wasn't clear that this lora won't work for T2V (unless I somehow missed it, the creator added a clarification afterwards). It was especially frustrating because it was not clear to me at all why it shouldn't work, given other loras work fine with both. The creator has been very helpful, and has clarified the situation, and I'm very grateful for their efforts and explanations.
Could I have been more tactful in my first message? Sure, I was very blunt, especially with "Honestly I don't see the point in this lora" which does sound rude on reflection, but that was not my intention. I just don't get why so many people are apparently okay with what seems like a pretty severe and unnecessary limitation. Again, the creator has since clarified.
@kangaru861 I have retrained the T2V version, but the results are not good. I suggest using the i2V version instead
I personally think t2v is unnecessary anyway, best to create the still image according to the plan with what ever models and loras are appropriate (I do mine with Flux and Pony), use inpainting etc to get the details right, then i2v to make a video. Then extend the good ones until there's long nice video.
@ivever thank you for making a t2v version! the i2v is indeed superior.
@ivever Thanks! I'll give it a try anyway
You're not doing anything wrong, it's really meant for I2V. I can generate T2V with this model, but it forces the characters to have certain style. As you say, it would need to be retrained for T2V (in a way that works - it was not trained for motion alone) for being useful in that mode.
Which model is this trained on? It has no effect at all
wan2.1_i2v_480p_14B_bf16.safetensors,This version only supports i2v
Only training on I2V seems like a waste of time. All the other T2V loras work on I2V. Dont see the point of training on I2V
@makiaevelio543 Really? I need to test it
@ivever Yeah, please don't take this the wrong way. We appreciate you spending your time and energy to make Loras. This is just feedback to make it better. There's something about the training on this one that doesn't allow it to work with most workflows. I've used several loras and never had to add the "Skip Layer Guidance" nodes on other Loras. This one when just executed out of the box on a standard I2V workflow, doesn't animate very well at all.
It might be worth it to check how other Loras have been trained.
@Melty1989 I forgot to convert Lora to Comfy format and can only run it on Kijai's workflow. so if you using Comfy org's gguf workflow, this Lora cannot run properly.
I have re uploaded the converted version, please download it again,
@ivever Thanks, I'll check it later. It does work well with Kijai's workflow though.
I’ve been trying to get some penis movement but nothing seems to be happening with this. I’m doing I2V 480P scaled fp8.
Are there any specific cfg and shift values ?
Did you manage to get it to work because I have the same problem. No movement at all no matter what I do. Using I2V 480p GGUF with fp8
You can download my example video and drag it into ComfyUI. The video contains prompt words and workflow
@Yc3k So, I checked OP's workflow. It relies on a node that allows you to skip layers. There's a native version of it called "Skip Layer Guidance WanVideo" that you need to attach after the Teacache node. Blocks have to be set to 10 , start percent at 0.00 and end at 0.60. However, even this doesn't result in the movement all the time, it's a roulette.
I've found better success using this in tandem with the WAN General NSFW lora (WAN General NSFW model (FIXED) - v.014 (FIXED) | Wan Video LoRA | Civitai).
I uploaded the image to the gallery, just download it for the workflow.
@Melty1989 I forgot to convert Lora to Comfy format and can only run it on Kijai's workflow. so if you using Comfy org's gguf workflow, this Lora cannot run properly.
I have re uploaded the converted version, please download it again,
@ivever That was probably the problem cause I was using the ComfyUI. Thanks.
Reading this is so funny dude. Props to all of you 🥂
Details
Files
P001-SideSex-Wan-i2v-v10-000010_converted.safetensors
Mirrors
Wan2.2-SideSex-Wan-i2v-v10-000010_converted.safetensors
i2v-Side_lying_Sex.safetensors
P001-SideSex-Wan-i2v-v10-000010_converted.safetensors
P001-SideSex-Wan-i2v-v10-000010_converted.safetensors
P001-SideSex-Wan-i2v-v10-000010_converted.safetensors
P001-SideSex-Wan-i2v-v10-000010_converted.safetensors
P001-SideSex-Wan-i2v-v10-000010_converted.safetensors
P001-SideSex-Wan-i2v-v10-000010_converted.safetensors
P001-SideSex-Wan-i2v-v10-000010_converted.safetensors
116_P001-SideSex-Wan_converted.safetensors
P001-SideSex-Wan-i2v-v10-000010_converted.safetensors
P001-SideSex-Wan-i2v-v10-000010_converted.safetensors
P001-SideSex-Wan-i2v-v10-000010_converted.safetensors
P001-SideSex-Wan-i2v-v10-000010_converted.safetensors
P001-SideSex-Wan-i2v-v10-000010_converted.safetensors
P001-SideSex-Wan-i2v-v10-000010_converted.safetensors
P001-SideSex-Wan-i2v-v10-000010_converted.safetensors
P001-SideSex-Wan-i2v-v10-000010_converted.safetensors
SideSex-Wan-i2v_480.safetensors
i2v-Side_lying_Sex.safetensors
P001-SideSex-Wan-i2v-v10-000010_converted.safetensors
wan2.1-i2v-s-spoon.safetensors
SideSex.safetensors
P001-SideSex-Wan-i2v-v10-000010_converted.safetensors
P001-SideSex-Wan-i2v-v10-000010_converted.safetensors
P001-SideSex-Wan-i2v-v10-000010_converted.safetensors
P001-SideSex-Wan-i2v-v10-000010_converted.safetensors
P001-SideSex-Wan-i2v-v10-000010_converted.safetensors
side-sex-i2v-v1.0.safetensors
side-sex-i2v-v10.safetensors
P001-SideSex-Wan-i2v-v10-000010_converted.safetensors
P001-SideSex-Wan-i2v-v10-000010_converted.safetensors
P001-SideSex-Wan-i2v-v10-000010_converted.safetensors
P001-SideSex-Wan-i2v-v10-000010_converted.safetensors
P001-SideSex-Wan-i2v-v10-000010_converted.safetensors
P001-SideSex-Wan-i2v-v10-000010_converted.safetensors
P001-SideSex-Wan-i2v-v10-000010_converted.safetensors
P001-SideSex-Wan-i2v-v10-000010_converted.safetensors
Wan2.2-SideSex-Wan-i2v-v10-000010_converted.safetensors
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