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/l3anad")

prompt = "A cinematic shot of a L3ANAD woman in shimmering futuristic armor standing amidst the neon-lit skyscrapers of a rainy cyberpunk metropolis."
image = pipe(prompt).images[0]

Krea 2 LoRA โ€” aimalias/l3anad

Prompt
A cinematic shot of a L3ANAD woman in shimmering futuristic armor standing amidst the neon-lit skyscrapers of a rainy cyberpunk metropolis.
Prompt
A serene oil painting of a L3ANAD woman wearing a flowing linen dress, reading an ancient book in a sun-drenched Mediterranean garden.
Prompt
A high-detail macro photograph of a L3ANAD woman as an ethereal forest spirit, her skin adorned with bioluminescent moss and floating spores in a dark enchanted woods.

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 L3ANAD woman to invoke the concept.

Samples

sample

"A cinematic shot of a L3ANAD woman in shimmering futuristic armor standing amidst the neon-lit skyscrapers of a rainy cyberpunk metropolis."

sample

"A serene oil painting of a L3ANAD woman wearing a flowing linen dress, reading an ancient book in a sun-drenched Mediterranean garden."

sample

"A high-detail macro photograph of a L3ANAD woman as an ethereal forest spirit, her skin adorned with bioluminescent moss and floating spores in a dark enchanted woods."

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/l3anad")
image = pipe("A cinematic shot of a L3ANAD woman in shimmering futuristic armor standing amidst the neon-lit skyscrapers of a rainy cyberpunk metropolis.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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