Instructions to use thecakeisal1e/ily-scat-smear with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use thecakeisal1e/ily-scat-smear with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("btaskel/Illustrious-XL-v2.0-GGUF", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("thecakeisal1e/ily-scat-smear") prompt = "<lora:ily-scat-smear2:1.0>, (facesitting, diarrhea on pov, [|poop on pov, poop focus, poop|], diarrhea, huge diarrhea, long diarrhea, explosive diarrhea, brown liquid, close-up:1.5), (from below, pov, projectile scat, diarrhea focus, [anus|], scat smear on ass, scat smear on thighs, hires diarrhea, hires scat smear:1.3), thighs, ass, anus, pussy, gluteal fold, solo focus, spreading ass, hands on own ass, spreading ass, (foreshortening, motion lines, motion blur), (vaginal:-1)" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ab4126960bf88a2306e4ff5bbe73fb867acd952b07fc7b3f4a109ad061d64049
- Size of remote file:
- 457 MB
- SHA256:
- 499a8a12ba7652257f0b19682bb58e6f0b0a6bf195912265a3658435e8c4792d
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