README.md

---
base_model: krea/Krea-2-Raw
tags:
- text-to-image
- diffusers
- lora
- krea2
- template:sd-lora
license: apache-2.0
instance_prompt: "B3MM4 woman"
widget:
- text: "A cinematic shot of a B3MM4 woman dressed in ornate gold armor, standing atop a floating crystal peak amidst a swirling nebula of violet and teal gas."
  output:
    url: sample_0.png
- text: "A candid, grainy 35mm film photograph of a B3MM4 woman reading a vintage book in a sun-drenched Parisian cafe with steam rising from a porcelain cup."
  output:
    url: sample_1.png
- text: "A hyper-realistic portrait of a B3MM4 woman as a cyberpunk hacker, illuminated by flickering neon holographic screens in a rain-slicked midnight alleyway."
  output:
    url: sample_2.png
---

# Krea 2 LoRA — aimalias/b3mm4

<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 `B3MM4 woman` to invoke the concept.

## Samples

![sample](./sample_0.png)

> *"A cinematic shot of a B3MM4 woman dressed in ornate gold armor, standing atop a floating crystal peak amidst a swirling nebula of violet and teal gas."*

![sample](./sample_1.png)

> *"A candid, grainy 35mm film photograph of a B3MM4 woman reading a vintage book in a sun-drenched Parisian cafe with steam rising from a porcelain cup."*

![sample](./sample_2.png)

> *"A hyper-realistic portrait of a B3MM4 woman as a cyberpunk hacker, illuminated by flickering neon holographic screens in a rain-slicked midnight alleyway."*

## 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/b3mm4")
image = pipe("A cinematic shot of a B3MM4 woman dressed in ornate gold armor, standing atop a floating crystal peak amidst a swirling nebula of violet and teal gas.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
```