Instructions to use mju75/karolina-lora-weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mju75/karolina-lora-weights with Diffusers:
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("mju75/karolina-lora-weights") prompt = "A cinematic close-up of k4rolina as a cyberpunk hacker in a neon-drenched Tokyo alley, surrounded by floating holographic screens and rain-slicked pavement." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA — mju75/karolina-lora-weights

- Prompt
- A cinematic close-up of k4rolina as a cyberpunk hacker in a neon-drenched Tokyo alley, surrounded by floating holographic screens and rain-slicked pavement.

- Prompt
- An ethereal oil painting of k4rolina dressed as a celestial goddess, drifting through a nebula of gold dust and deep violet cosmic clouds.

- Prompt
- A high-fashion editorial shot of k4rolina wearing an avant-garde architectural gown, standing in the center of a minimalist white marble museum gallery.
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 k4rolina to invoke the concept.
Samples
"A cinematic close-up of k4rolina as a cyberpunk hacker in a neon-drenched Tokyo alley, surrounded by floating holographic screens and rain-slicked pavement."
"An ethereal oil painting of k4rolina dressed as a celestial goddess, drifting through a nebula of gold dust and deep violet cosmic clouds."
"A high-fashion editorial shot of k4rolina wearing an avant-garde architectural gown, standing in the center of a minimalist white marble museum gallery."
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("mju75/karolina-lora-weights")
image = pipe("A cinematic close-up of k4rolina as a cyberpunk hacker in a neon-drenched Tokyo alley, surrounded by floating holographic screens and rain-slicked pavement.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for mju75/karolina-lora-weights
Base model
krea/Krea-2-Raw

