README.md

metadata

base_model: krea/Krea-2-Raw
tags:
  - text-to-image
  - diffusers
  - lora
  - krea2
  - template:sd-lora
license: apache-2.0
instance_prompt: neoncrypt style
widget:
  - text: >-
      <neoncrypt style>, a lone astronaut exploring an abandoned lunar research
      station
    output:
      url: sample_0.png
  - text: >-
      <neoncrypt style>, an ancient wooden sailing ship trapped inside a frozen
      cavern
    output:
      url: sample_1.png
  - text: >-
      <neoncrypt style>, a deserted roadside diner surrounded by wheat fields
      beneath an approaching storm
    output:
      url: sample_2.png

Krea 2 LoRA — IronBloodhound/neoncryptstyle

Prompt

<neoncrypt style>, a lone astronaut exploring an abandoned lunar research station

Prompt

<neoncrypt style>, an ancient wooden sailing ship trapped inside a frozen cavern

Prompt

<neoncrypt style>, a deserted roadside diner surrounded by wheat fields beneath an approaching storm

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 phrase neoncrypt style to invoke the concept.

Samples

", a lone astronaut exploring an abandoned lunar research station"

", an ancient wooden sailing ship trapped inside a frozen cavern"

", a deserted roadside diner surrounded by wheat fields beneath an approaching storm"

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("IronBloodhound/neoncryptstyle")
image = pipe("<neoncrypt style>, a lone astronaut exploring an abandoned lunar research station", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")