Instructions to use witchscientist/BetterCocks2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use witchscientist/BetterCocks2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("witchscientist/BetterCocks2") prompt = "UNICODE\u0000\u0000m\u0000a\u0000s\u0000t\u0000e\u0000r\u0000p\u0000i\u0000e\u0000c\u0000e\u0000,\u0000 \u0000p\u0000r\u0000o\u0000f\u0000e\u0000s\u0000s\u0000i\u0000o\u0000n\u0000a\u0000l\u0000 \u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000 \u0000 \u0000o\u0000f\u0000 \u0000a\u0000 \u0000 \u0000h\u0000a\u0000n\u0000d\u0000s\u0000o\u0000m\u0000e\u0000 \u0000m\u0000a\u0000n\u0000 \u0000m\u0000o\u0000d\u0000e\u0000,\u0000 \u0000l\u0000a\u0000r\u0000g\u0000e\u0000 \u0000t\u0000e\u0000s\u0000t\u0000i\u0000c\u0000l\u0000e\u0000s\u0000,\u0000 \u0000e\u0000r\u0000e\u0000c\u0000t\u0000 \u0000p\u0000e\u0000n\u0000i\u0000s\u0000,\u0000 \u0000f\u0000i\u0000t\u0000n\u0000e\u0000s\u0000s\u0000 \u0000m\u0000o\u0000d\u0000e\u0000l\u0000,\u0000 \u0000<\u0000l\u0000y\u0000c\u0000o\u0000:\u0000t\u0000g\u0000_\u0000f\u0000i\u0000n\u0000a\u0000l\u00001\u0000:\u00000\u0000.\u00007\u0000>\u0000,\u0000 \u0000b\u0000o\u0000k\u0000e\u0000h\u0000,\u0000 \u0000s\u0000m\u0000i\u0000l\u0000e\u0000,\u0000 \u0000s\u0000h\u0000o\u0000r\u0000t\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000i\u0000n\u0000 \u0000c\u0000i\u0000t\u0000y\u0000 \u0000c\u0000e\u0000n\u0000t\u0000e\u0000r\u0000 \u0000,\u0000 \u0000f\u0000r\u0000o\u0000m\u0000 \u0000b\u0000e\u0000l\u0000o\u0000w\u0000,\u0000 \u0000" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("witchscientist/BetterCocks2")
prompt = "UNICODE\u0000\u0000m\u0000a\u0000s\u0000t\u0000e\u0000r\u0000p\u0000i\u0000e\u0000c\u0000e\u0000,\u0000 \u0000p\u0000r\u0000o\u0000f\u0000e\u0000s\u0000s\u0000i\u0000o\u0000n\u0000a\u0000l\u0000 \u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000 \u0000 \u0000o\u0000f\u0000 \u0000a\u0000 \u0000 \u0000h\u0000a\u0000n\u0000d\u0000s\u0000o\u0000m\u0000e\u0000 \u0000m\u0000a\u0000n\u0000 \u0000m\u0000o\u0000d\u0000e\u0000,\u0000 \u0000l\u0000a\u0000r\u0000g\u0000e\u0000 \u0000t\u0000e\u0000s\u0000t\u0000i\u0000c\u0000l\u0000e\u0000s\u0000,\u0000 \u0000e\u0000r\u0000e\u0000c\u0000t\u0000 \u0000p\u0000e\u0000n\u0000i\u0000s\u0000,\u0000 \u0000f\u0000i\u0000t\u0000n\u0000e\u0000s\u0000s\u0000 \u0000m\u0000o\u0000d\u0000e\u0000l\u0000,\u0000 \u0000<\u0000l\u0000y\u0000c\u0000o\u0000:\u0000t\u0000g\u0000_\u0000f\u0000i\u0000n\u0000a\u0000l\u00001\u0000:\u00000\u0000.\u00007\u0000>\u0000,\u0000 \u0000b\u0000o\u0000k\u0000e\u0000h\u0000,\u0000 \u0000s\u0000m\u0000i\u0000l\u0000e\u0000,\u0000 \u0000s\u0000h\u0000o\u0000r\u0000t\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000i\u0000n\u0000 \u0000c\u0000i\u0000t\u0000y\u0000 \u0000c\u0000e\u0000n\u0000t\u0000e\u0000r\u0000 \u0000,\u0000 \u0000f\u0000r\u0000o\u0000m\u0000 \u0000b\u0000e\u0000l\u0000o\u0000w\u0000,\u0000 \u0000"
image = pipe(prompt).images[0]Better Cocks v2

- Prompt
- UNICODEmasterpiece, professional photo of a handsome man mode, large testicles, erect penis, fitness model, <lyco:tg_final1:0.7>, bokeh, smile, short hair, in city center , from below,
Trigger words
You should use penis to trigger the image generation.
You should use cock to trigger the image generation.
You should use nsfw to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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