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_Mikasa_Ackerman_Childhood")

prompt = "sdxl-mikasa-ackerman-childhood"
image = pipe(prompt).images[0]

Mikasa Ackerman (childhood) / Attack on Titan(幼少時代のミカサ・アッカーマン in 進撃の巨人)

Prompt
sdxl-mikasa-ackerman-childhood
Prompt
sdxl-mikasa-ackerman-childhood
Prompt
sdxl-mikasa-ackerman-childhood
Prompt
sdxl-mikasa-ackerman-childhood
Prompt
sdxl-mikasa-ackerman-childhood

Model description

Trained by 46 images, 10 epochs, 2-10 repeats for 470 steps. Triger and useful keywords (tags) are as follows.

Appearance: sdxl-mikasa-ackerman-childhood, black hair, long hair, hair between eyes, black eyes, flat chest, petite

Outfit: dress, scarf, white dress, long skirt, cardigan, pink cardigan, brown footwear

Trigger words

You should use sdxl-mikasa-ackerman-childhood to trigger the image generation.

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