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("MarkBW/jessica-pare")
prompt = "UNICODE\u0000\u0000j\u0000e\u0000s\u0000s\u0000i\u0000c\u0000a\u0000p\u0000a\u0000r\u0000e\u0000 \u0000 \u0000,\u0000 \u0000 \u0000,\u0000 \u0000,\u0000p\u0000h\u0000o\u0000t\u0000o\u0000 \u0000o\u0000f\u0000 \u0000a\u0000 \u0000w\u0000o\u0000m\u0000a\u0000n\u0000,\u0000 \u0000,\u0000 \u0000p\u0000e\u0000r\u0000f\u0000e\u0000c\u0000t\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000b\u0000e\u0000a\u0000u\u0000t\u0000i\u0000f\u0000u\u0000l\u0000 \u0000p\u0000e\u0000r\u0000f\u0000e\u0000c\u0000t\u0000 \u0000s\u0000k\u0000i\u0000n\u0000,\u0000 \u0000(\u0000(\u0000b\u0000u\u0000s\u0000y\u0000 \u0000o\u0000f\u0000f\u0000i\u0000c\u0000e\u0000)\u0000)\u0000,\u0000 \u0000(\u0000m\u0000o\u0000d\u0000e\u0000r\u0000n\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000,\u0000 \u0000n\u0000e\u0000c\u0000k\u0000t\u0000i\u0000e\u0000,\u0000 \u0000s\u0000h\u0000i\u0000r\u0000t\u0000)\u0000,\u0000 \u00002\u00004\u0000m\u0000m\u0000,\u0000 \u0000(\u0000a\u0000n\u0000a\u0000l\u0000o\u0000g\u0000,\u0000 \u0000c\u0000i\u0000n\u0000e\u0000m\u0000a\u0000t\u0000i\u0000c\u0000,\u0000 \u0000f\u0000i\u0000l\u0000m\u0000 \u0000g\u0000r\u0000a\u0000i\u0000n\u0000:\u00001\u0000.\u00003\u0000)\u0000,\u0000 \u0000,\u0000 \u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000e\u0000d\u0000 \u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000(\u0000u\u0000p\u0000p\u0000e\u0000r\u0000 \u0000b\u0000o\u0000d\u0000y\u0000)\u0000,\u0000 \u0000(\u0000l\u0000o\u0000o\u0000k\u0000i\u0000n\u0000g\u0000 \u0000a\u0000t\u0000 \u0000v\u0000i\u0000e\u0000w\u0000e\u0000r\u0000)\u0000,\u0000 \u0000e\u0000a\u0000r\u0000r\u0000i\u0000n\u0000g\u0000s\u0000,\u0000 \u0000(\u0000e\u0000y\u0000e\u0000l\u0000i\u0000n\u0000e\u0000r\u0000,\u0000 \u0000e\u0000y\u0000e\u0000l\u0000a\u0000s\u0000h\u0000e\u0000s\u0000)\u0000"
image = pipe(prompt).images[0]jessica-pare
- Prompt
- UNICODEjessicapare , , ,photo of a woman, , perfect hair, beautiful perfect skin, ((busy office)), (modern photo, necktie, shirt), 24mm, (analog, cinematic, film grain:1.3), , detailed eyes, (upper body), (looking at viewer), earrings, (eyeliner, eyelashes)
Trigger words
You should use jessicapare to trigger the image generation.
Download model
Weights for this model are available in PyTorch format.
Download them in the Files & versions tab.
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Model tree for MarkBW/jessica-pare
Base model
runwayml/stable-diffusion-v1-5