Stroke it honey 😏

Yes sir 😇

Training

• 200 steps on high noise

• 2 edited videos (40 frames each video)

• HLR + ZCD (These acronyms were created solely to confuse you)

• Lots of confidence

• $3 (✋🏻🤠🤚🏻)

Problems with facial consistency

I don't train any of my LoRAs using Turbo LoRA, so you should avoid it too.

It's still possible to get a good result using Turbo LoRA, but for that you'll need to increase the number of steps or slightly increase the CFG Scale.

If you don't know what the CFG Scale does, it's basically the parameter that defines how much the prompt will be followed.

CFG 1 tells the WAN that it can follow its instincts, while the WAN's default without Turbo LoRA is CFG 3.5, which gives more importance to the prompt, and that's why you lose facial consistency.

Usage (Low noise)

This LoRA was trained only on High Noise, which means you'll have to use some Low Noise that knows what a penis is (I used the Low Noise from DR34ML4Y v2).

Got an idea for LoRA? Then let's do it! (or at least try 🤠)

In my repository, I created a model called "LoRA Requests", so if you want to request a LoRA, send videos and photos to help build the dataset for a public LoRA that will be posted here, that's the place to go.

Open LoRA Requests on HuggingFace 🤗

Uncensored prompts and examples

You know that Civitai likes to remove some LoRAs, right? For that reason, I won't post the "Cut to action" prompt. To see all my LoRAs, visit my repository on HuggingFace.

Or visit this LoRA on HuggingFace 🤗

I2V:

Prompt (ongoing):

She holds his hard black penis with a closed fist, moving her hand up and down rapidly, stroking his hard black penis.

Prompt (cut to action, standing):

No man, not here ✋🏻🤠

Prompt (cut to action, kneeling):

No man, not here ✋🏻🤠

This LoRA become very flexible, you can completely change the scenario and it will still work

High Noise LoRA Scale: 1.0

Low Noise LoRA Scale: 1.0

Shift: 4

T2V:

Theoretically it works, but I haven't tested it. If you want to test it, keep the same "cut to action" structure as I2V, and start with a low scale on High Noise (0.5).

About HLR + ZCD

This is a fast-learning technique, which makes LoRA less flexible. This can drastically reduce creativity, but it yields stable results while using few resources. Negative effects:

1. It will probably only work at the same camera angle

2. High chance of not responding to different prompts

3. High chance of forcing the original characters of the training video Training only the High Noise reduces this chance, but it can force things that are VERY similar, like the same hair length, same color, etc.

4. ZCD = Zero Caption Dropout, this means that the training was conditioned by the caption. This causes the LoRA to be activated only when this exact (or very similar) prompt is used, increasing compatibility with other LoRAs and allowing it to be incorporated into the checkpoint without trying to force the execution of what was learned.

Download

Download High Noise LoRA (on HuggingFace 🤗)

Download Low Noise LoRA (DR34ML4Y_I2V_14B_LOW_V2)

Help me creating more

If you want to help me continue making LoRAs, or if you want me to make a LoRA for you, buy 5000 PlayCoins at Aisha-AI and transfer them to my account (account number 2).

This helps Aisha-AI to stay alive and produce new LoRAs for you all 💜