README.md

---
base_model: krea/Krea-2-Raw
tags:
- text-to-image
- diffusers
- lora
- krea2
- template:sd-lora
license: apache-2.0
instance_prompt: "Manwha"
widget:
- text: "A cybernetic samurai standing atop a neon-drenched skyscraper in a rainy futuristic city, drawn in a sharp Manwha style with vibrant glowing accents."
  output:
    url: sample_0.png
- text: "A whimsical forest spirit tending to giant iridescent mushrooms in a sun-dappled woodland, rendered as a soft and ethereal Manwha illustration."
  output:
    url: sample_1.png
- text: "A high-stakes underground poker game in a smoky 1920s jazz club featuring cunning gamblers, styled as a dramatic and detailed Manwha sequence."
  output:
    url: sample_2.png
---

# Krea 2 LoRA — Wonky468/silver

<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 `Manwha` to invoke the concept.

## Samples

![sample](./sample_0.png)

> *"A cybernetic samurai standing atop a neon-drenched skyscraper in a rainy futuristic city, drawn in a sharp Manwha style with vibrant glowing accents."*

![sample](./sample_1.png)

> *"A whimsical forest spirit tending to giant iridescent mushrooms in a sun-dappled woodland, rendered as a soft and ethereal Manwha illustration."*

![sample](./sample_2.png)

> *"A high-stakes underground poker game in a smoky 1920s jazz club featuring cunning gamblers, styled as a dramatic and detailed Manwha sequence."*

## 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("Wonky468/silver")
image = pipe("A cybernetic samurai standing atop a neon-drenched skyscraper in a rainy futuristic city, drawn in a sharp Manwha style with vibrant glowing accents.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
```