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("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("aimalias/b3thl1ly-krea")

prompt = "A high-fashion B3THL1LY woman wearing a holographic gown, standing amidst a neon-lit cyberpunk cityscape during a rainstorm."
image = pipe(prompt).images[0]

Krea 2 LoRA โ€” aimalias/b3thl1ly-krea

Prompt
A high-fashion B3THL1LY woman wearing a holographic gown, standing amidst a neon-lit cyberpunk cityscape during a rainstorm.
Prompt
A B3THL1LY woman dressed as a medieval scholar, reading an ancient leather-bound tome in a sun-drenched gothic library.
Prompt
A cinematic shot of a B3THL1LY woman in an astronaut suit, gazing at a swirling iridescent nebula from the observation deck of a deep-space station.

A DreamBooth-LoRA for Krea 2, trained on Krea 2 RAW and shown on Krea 2 Turbo. The samples below were generated with this LoRA on Turbo (8 steps).

Trigger

Use the token B3THL1LY woman to invoke the concept.

Samples

sample

"A high-fashion B3THL1LY woman wearing a holographic gown, standing amidst a neon-lit cyberpunk cityscape during a rainstorm."

sample

"A B3THL1LY woman dressed as a medieval scholar, reading an ancient leather-bound tome in a sun-drenched gothic library."

sample

"A cinematic shot of a B3THL1LY woman in an astronaut suit, gazing at a swirling iridescent nebula from the observation deck of a deep-space station."

Use it with diffusers

import torch
from diffusers import Krea2Pipeline

pipe = Krea2Pipeline.from_pretrained("krea/Krea-2-Turbo", torch_dtype=torch.bfloat16).to("cuda")
pipe.load_lora_weights("aimalias/b3thl1ly-krea")
image = pipe("A high-fashion B3THL1LY woman wearing a holographic gown, standing amidst a neon-lit cyberpunk cityscape during a rainstorm.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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