How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("OnomaAIResearch/Illustrious-XL-v2.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("BlueTriangles/SDXL_CowboyBepop_Katerina")

prompt = "sdxl-cowboybepop-katerina"
image = pipe(prompt).images[0]

Katerina / Cowboy Bepop(カテリーナ in カウボーイビバップ)

Prompt
sdxl-cowboybepop-katerina
Prompt
sdxl-cowboybepop-katerina
Prompt
sdxl-cowboybepop-katerina
Prompt
sdxl-cowboybepop-katerina
Prompt
sdxl-cowboybepop-katerina

Model description

Trained with 49 images, 10 epochs, 5 iterations for 620 steps. Trigger and useful keywords are as follows.

Appearance: sdxl-cowboybepop-katerina, dark-skined female, long hair, black hair, earrings, dark skin, makeup, black eyes, wavy hair, parted bangs, eyeshadow, jewelry, mature female, red lips, green ribbon, hair ribbon

Outfit: cleavage cutout, clothing cutout, collarbone, long sleeves, purple dress

Optional: pregnant, pregnancy

Trigger words

You should use sdxl-cowboybepop-katerina to trigger the image generation.

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