---
base_model: krea/Krea-2-Raw
tags:
- text-to-image
- diffusers
- lora
- krea2
- template:sd-lora
license: apache-2.0
instance_prompt: "JG4S woman"
widget:
- text: "A JG4S woman wearing a shimmering silver space suit, standing on the iridescent sands of a neon-lit alien planet under three moons."
  output:
    url: sample_0.png
- text: "A JG4S woman dressed in a flowing linen gown, reading an ancient leather-bound book in a sun-drenched Tuscan library filled with vines."
  output:
    url: sample_1.png
- text: "A JG4S woman as a cyberpunk street racer, leaning against a chrome hover-car in a rainy Tokyo alleyway illuminated by flickering holographic ads."
  output:
    url: sample_2.png
---

# Krea 2 LoRA — aimalias/jg4s

<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 `JG4S woman` to invoke the concept.

## Samples

![sample](./sample_0.png)

> *"A JG4S woman wearing a shimmering silver space suit, standing on the iridescent sands of a neon-lit alien planet under three moons."*

![sample](./sample_1.png)

> *"A JG4S woman dressed in a flowing linen gown, reading an ancient leather-bound book in a sun-drenched Tuscan library filled with vines."*

![sample](./sample_2.png)

> *"A JG4S woman as a cyberpunk street racer, leaning against a chrome hover-car in a rainy Tokyo alleyway illuminated by flickering holographic ads."*

## 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/jg4s")
image = pipe("A JG4S woman wearing a shimmering silver space suit, standing on the iridescent sands of a neon-lit alien planet under three moons.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
```