<h2 id="official-krea-2-loras">Official Krea 2 Loras</h2><ul><li>To be used on: <code>krea/Krea-2-Turbo</code>, the few-step distilled checkpoint shown in the previews above.</li><li>Trained on: <code>krea/Krea-2-Raw</code>.</li><li>Weights: <code>retroanime.safetensors</code></li><li>Previews: rendered on Turbo at 8 steps, guidance 0.0, LoRA weight <code>1.0</code>.</li></ul>Source: <a target="_blank" rel="ugc" href="https://huggingface.co/collections/krea/krea-2-loras">https://huggingface.co/collections/krea/krea-2-loras</a>

Krea 2 Official Loras

A LoRA for <a target="_blank" rel="ugc" href="https://huggingface.co/krea">Krea 2</a> — neondrip (trigger: <code>Textured abstract style</code>).

neondrip.safetensors

neondrip

softwatercolor

kidsdrawing

dotmatrix

darkbrush

rainywindow

vintagetarot

sunsetblur

retroanime

# Krea 2 LoRA — neondrip

A LoRA for [Krea 2](https://huggingface.co/krea) — neondrip (trigger: `Textured abstract style`).
- **Trigger word:** `Textured abstract style`
- **To be used on:** [`krea/Krea-2-Turbo`](https://huggingface.co/krea/Krea-2-Turbo), the few-step distilled checkpoint shown in the previews above.
- **Trained on:** [`krea/Krea-2-Raw`](https://huggingface.co/krea/Krea-2-Raw).
- **Weights:** `neondrip.safetensors`
- **Previews:** rendered on Turbo at 8 steps, guidance 0.0, LoRA weight `1.0`.

## Usage

```python
import torch
from diffusers import Krea2Pipeline

pipe = Krea2Pipeline.from_pretrained("krea/Krea-2-Turbo", torch_dtype=torch.bfloat16).to("cuda")
pipe.transformer.load_lora_adapter("krea/Krea-2-LoRA-neondrip", weight_name="neondrip.safetensors")
pipe.transformer.set_adapters("default", weights=1.0)

prompt = "A deer grazing in the forest, Textured abstract style"
image = pipe(prompt, num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("neondrip.png")
```

<Gallery />

krea-community/Krea-2-LoRA-neondrip

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