import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Turbo", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("gallium422/pissvids_Krea2")
prompt = "UNICODE\u0000\u0000A\u0000 \u0000h\u0000i\u0000g\u0000h\u0000 \u0000q\u0000u\u0000a\u0000l\u0000i\u0000t\u0000y\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000,\u0000 \u0000p\u0000i\u0000s\u0000s\u0000v\u0000i\u0000d\u0000s\u0000,\u0000 \u0000"
image = pipe(prompt).images[0]pissvids_Krea2
- Prompt
- UNICODEA high quality photo, pissvids,
Model description
{ "description": "", "sd version": "krea", "activation text": "pissvids, A nude woman kneeling in a large black bowl, a stream of clear liquid sprays from a penis into her open mouth, ", "preferred weight": 0.0, "negative text": "", "notes": "" }
Trigger words
You should use pissvids to trigger the image generation.
You should use A nude woman kneeling in a large black bowl to trigger the image generation.
You should use a stream of clear liquid sprays from a penis into her open mouth to trigger the image generation.
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