---
base_model: krea/Krea-2-Raw
tags:
- text-to-image
- diffusers
- lora
- krea2
- template:sd-lora
license: apache-2.0
instance_prompt: "SH10R1 woman"
widget:
- text: "A cinematic shot of a SH10R1 woman wearing iridescent futuristic armor, standing amidst the neon-lit skyscrapers of a rainy cyberpunk metropolis."
  output:
    url: sample_0.png
- text: "A soft, ethereal portrait of a SH10R1 woman in a flowing white linen dress, wandering through a sun-drenched wildflower meadow at golden hour."
  output:
    url: sample_1.png
- text: "A high-detail macro shot of a SH10R1 woman as a deep-sea diver, surrounded by bioluminescent jellyfish and glowing coral in the midnight zone of the ocean."
  output:
    url: sample_2.png
---

# Krea 2 LoRA — aimalias/sh10r1

<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 `SH10R1 woman` to invoke the concept.

## Samples

![sample](./sample_0.png)

> *"A cinematic shot of a SH10R1 woman wearing iridescent futuristic armor, standing amidst the neon-lit skyscrapers of a rainy cyberpunk metropolis."*

![sample](./sample_1.png)

> *"A soft, ethereal portrait of a SH10R1 woman in a flowing white linen dress, wandering through a sun-drenched wildflower meadow at golden hour."*

![sample](./sample_2.png)

> *"A high-detail macro shot of a SH10R1 woman as a deep-sea diver, surrounded by bioluminescent jellyfish and glowing coral in the midnight zone of the ocean."*

## Use it with diffusers

```py
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/sh10r1")
image = pipe("A cinematic shot of a SH10R1 woman wearing iridescent 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")
```