Krea 2 LoRA โ€” aeon37/al1ce-k2

Prompt
A futuristic neon-drenched cyberpunk city street at midnight, featuring al1ce-k2 as a holographic advertisement shimmering against the rain-slicked asphalt.
Prompt
A serene, sun-dappled ancient library with floating leather-bound books, where al1ce-k2 is depicted as a marble statue overgrown with delicate ivy.
Prompt
A high-octane underwater coral reef scene with vibrant bioluminescent fish, showcasing al1ce-k2 encased in a sleek, pearlescent deep-sea diving suit.

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 al1ce-k2 to invoke the concept.

Samples

sample

"A futuristic neon-drenched cyberpunk city street at midnight, featuring al1ce-k2 as a holographic advertisement shimmering against the rain-slicked asphalt."

sample

"A serene, sun-dappled ancient library with floating leather-bound books, where al1ce-k2 is depicted as a marble statue overgrown with delicate ivy."

sample

"A high-octane underwater coral reef scene with vibrant bioluminescent fish, showcasing al1ce-k2 encased in a sleek, pearlescent deep-sea diving suit."

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("aeon37/al1ce-k2")
image = pipe("A futuristic neon-drenched cyberpunk city street at midnight, featuring al1ce-k2 as a holographic advertisement shimmering against the rain-slicked asphalt.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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