Krea 2 LoRA โ€” chrisserycher/n0rah4rt

Prompt
A cinematic portrait of n0rah4rt 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 n0rah4rt wearing a flowing gown of starlight, floating amidst a swirling cosmic nebula and glittering gold galaxies.
Prompt
A high-detail adventure shot of n0rah4rt as a rugged explorer in a lush prehistoric jungle, standing before a colossal ancient stone temple overgrown with vines.

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 n0rah4rt to invoke the concept.

Samples

sample

"A cinematic portrait of n0rah4rt as a cyberpunk hacker in a neon-drenched Tokyo alley, surrounded by floating holographic screens and rain-slicked pavement."

sample

"An ethereal oil painting of n0rah4rt wearing a flowing gown of starlight, floating amidst a swirling cosmic nebula and glittering gold galaxies."

sample

"A high-detail adventure shot of n0rah4rt as a rugged explorer in a lush prehistoric jungle, standing before a colossal ancient stone temple overgrown with vines."

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("chrisserycher/n0rah4rt")
image = pipe("A cinematic portrait of n0rah4rt 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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