Trained for Hand jobs based on a smaller dataset for testing. a couple perspectives but pov works best. I use more steps (40) with a slightly higher CFG (7-8) to help stabilize the hand, you will most likely need to seed hunt to find ideal results.
"Very high quality 4k illustration, tekoki, girl fast stroking penis to the base handjob, blushing heavy breathing, swaying her breasts, cum shot"
I've been using 1.0 for I2V, but maybe you can do less strength for T2V.
>>>>BLOCKS= Using WanVideoWrapper, you can edit the blocks that are used for inference. SET Blocks 0-19 as True and the rest as False for best use!<<<<
This LoRA works best with 480P I2V (PREFERRED USE) or 14B T2V , results with 720P I2V are poor so I do not recommend it at this time under more experimentation is completed.
By using this LoRA model, you acknowledge that you alone are responsible for your creations, and like any powerful tool, it demands ethical judgment and responsible use.
The examples above are mainly just the default workflow with a lora node added. prompts should include tetoki and description of the action "stroking penis up and down"
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FAQ
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Sorry to ask for something so basic, but would it be possible to get the default workflow with lora node? I just installed Comfy to give these a try but have no clue which lora node to add or where to connect it.
They are using the default example in the wanvideowrapper node examples. I believe if you save the video and just try to open a workflow in comfyui it should populate but there is more to setting up my workflow (you will need sageattn, triton) in order to use it properly.
@CubeyAI Ah yeah adding sageattn and triton are a bit beyond me atm haha Thanks
@skullzy77 I apologize, but those are just for speed/memory optimizations. you can still open the workflow and just copy the settings from the sampler and use them on the default workflow and still get results
@CubeyAI Yeah I saw people on reddit mentioning them yesterday. I've only got 8GB so probably should figure that out next. As of now I'm just still trying to a find a lora workflow. Tried googling "wanvideowrapper node examples" but haven't found one yet lol
@CubeyAI My old man brain must be malfunctioning. Thanks for the link and apologies again!
no-go on i2v, but worked fine on t2v 480 gguf with torch.compile, teacache, and sageattentionfp8. Not for realistic, Cubey leans hard into the 2d world :)
What were your training settings? I trained a good wan lora but would like to know how many reps per epoch, lr and network rank you used since you have very good results. Trying to train in things wan doesn't do by default as it struggles with furry if it is not trained on it.
Do you plan on making another handjob one with updated training? This one is great but sometimes for T2V it is just very stubborn
Any chance for a 1.3B wan version ?
Having issues with this lora making people look like smooth video game characters.
you can try lowering the strength a little, but yes that's a result of the limited dataset
try using fp16 precision instead of fp8 uses alot more recourses but results in a massive jump in quality/consistency
@CubeyAI same issue
@basedbase 我就是使用fp16,但问题依然如此。I just used fp16 model,but the issue remains.
can you make this for wan 2.2. it is way faster
Question, what semi-real model was using to make the image that was animated?
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