---
base_model: krea/Krea-2-Raw
tags:
- text-to-image
- diffusers
- lora
- krea2
- template:sd-lora
license: apache-2.0
instance_prompt: "T3554 woman"
widget:
- text: "A cinematic wide shot of a T3554 woman in a shimmering silver space suit standing on the neon-lit dunes of a futuristic Martian colony."
  output:
    url: sample_0.png
- text: "A moody, oil painting style portrait of a T3554 woman wearing a Victorian lace gown, reading a leather-bound book in a candlelit gothic library."
  output:
    url: sample_1.png
- text: "A vibrant, high-action shot of a T3554 woman in professional hiking gear summiting a jagged snow-capped peak during a golden hour sunrise."
  output:
    url: sample_2.png
---

# Krea 2 LoRA — aimalias/t3554

<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 `T3554 woman` to invoke the concept.

## Samples

![sample](./sample_0.png)

> *"A cinematic wide shot of a T3554 woman in a shimmering silver space suit standing on the neon-lit dunes of a futuristic Martian colony."*

![sample](./sample_1.png)

> *"A moody, oil painting style portrait of a T3554 woman wearing a Victorian lace gown, reading a leather-bound book in a candlelit gothic library."*

![sample](./sample_2.png)

> *"A vibrant, high-action shot of a T3554 woman in professional hiking gear summiting a jagged snow-capped peak during a golden hour sunrise."*

## 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/t3554")
image = pipe("A cinematic wide shot of a T3554 woman in a shimmering silver space suit standing on the neon-lit dunes of a futuristic Martian colony.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
```