---
license: apache-2.0
base_model:
- Wan-AI/Wan2.2-T2V-A14B
tags:
- not-for-all-audiences
- wan-2.2
- lora
- diffusers
- template:sd-lora
pipeline_tag: text-to-video
library_name: diffusers
---

# Wan2.2 Scat Lora

## Info

UPDATE: 03-25-2026 New Version: ScatMaster-V2 Released: Fix random text appearing, better control and character adherence

Download [./config.json](https://huggingface.co/obsxrver/wan2.2-t2v-scat/resolve/main/config.json) for the workflow file.

```bash/powershell
pip install huggingface_hub
hf download obsxrver/wan2.2-scat-xviii-PooMaestro --local-dir ./wan2.2-scat-xviii-PooMaestro
```

### Activation Words (non-exhaustive)
> she defecates

> covered in feces

### Sample Prompts
> A woman, she is nude, lying on her back, looking at the viewer, legs up, covered in feces, she is rubbing her pussy
 
> nude woman, squatting over a bed, she defecates on the bed, looking at the viewer, moaning



## Q&A
1. > Q: Why did you do this?
   
   > A: Because I can, next.
2. > Q: Dataset?

   > A: My dataset consisted of 33 ***high-quality*** videos and 16 images, some of which were stills from the videos. For the videos, I trained with a size of 298px^2 (0.0888MP), and the pictures at 960^2 (0.92MP). The dataset needs to be high quality and free of noise or artifacts. Otherwise, these will translate into artifacts in the final LoRA, which is no bueno.
    
3. > Q: Captions?
   
   > A: I captioned these using Gemini 2.5 Pro, each caption consisted of "[Setting], [Subject], [Action], [Lighting]" The exact system prompt is available in the repo. I manually added "still-frame" to every image(not sure if this helps), and I also blurred out the actor's faces in many of the videos, and added "her face is blurred out", to the caption. This helps with negating the undesired effect of baking-in the shape and visual characteristics of any given actor's face from the dataset into the LoRA's output.
   >
   > Example: A room, a woman wearing a grey shirt, her face is blurred out, squatting on the floor and spreading her ass, a plain wall, the woman defecates, bright, direct lighting.
4. > Q: Training?
   
   > A: I used Musubi-Tuner. You can find the training commands outlined at [https://github.com/obsxrver/wan22-lora-training](https://github.com/obsxrver/wan22-lora-training). I use these training commands for every LoRA I make and almost always have good results. 
#### Be smart, use common sense.

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