Instructions to use MarkBW/jessica-pare with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MarkBW/jessica-pare 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("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] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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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