Blame for README.md

---
base_model: krea/Krea-2-Raw
tags:
- text-to-image
- diffusers
- lora
- krea2
- template:sd-lora
license: apache-2.0
instance_prompt: "RIDI"
widget:
- text: "A futuristic cyberpunk city street drenched in neon rain, featuring a sleek RIDI chrome robot meditating on a floating platform."
  output:
    url: sample_0.png
- text: "A whimsical oil painting of a cozy Victorian library where a fluffy RIDI golden retriever wears reading glasses and sits by a fireplace."
  output:
    url: sample_1.png
- text: "An epic cinematic shot of an ancient overgrown jungle temple with a massive, moss-covered RIDI stone statue towering over a hidden waterfall."
  output:
    url: sample_2.png
---

# Krea 2 LoRA — funseshon/ridi

<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 `RIDI` to invoke the concept.

## Samples

![sample](./sample_0.png)

> *"A futuristic cyberpunk city street drenched in neon rain, featuring a sleek RIDI chrome robot meditating on a floating platform."*

![sample](./sample_1.png)

> *"A whimsical oil painting of a cozy Victorian library where a fluffy RIDI golden retriever wears reading glasses and sits by a fireplace."*

![sample](./sample_2.png)

> *"An epic cinematic shot of an ancient overgrown jungle temple with a massive, moss-covered RIDI stone statue towering over a hidden waterfall."*

## 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("funseshon/ridi")
image = pipe("A futuristic cyberpunk city street drenched in neon rain, featuring a sleek RIDI chrome robot meditating on a floating platform.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
```