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base_model: krea/Krea-2-Raw
tags:
- text-to-image
- diffusers
- lora
- krea2
- template:sd-lora
license: apache-2.0
instance_prompt: "Beth3"
widget:
- text: "A cinematic, wide shot of Beth3 as a futuristic cybernetic explorer standing on the neon-lit crystalline plains of a distant purple planet."
output:
url: sample_0.png
- text: "A cozy, sun-drenched oil painting of Beth3 reading an ancient leather book in a dusty Victorian library filled with floating candles."
output:
url: sample_1.png
- text: "A high-fashion editorial photo of Beth3 wearing an avant-garde gown made of liquid gold, posing amidst a surreal desert of white sand."
output:
url: sample_2.png
---
# Krea 2 LoRA — Lonuhbow/beth3
<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 `Beth3` to invoke the concept.
## Samples
> *"A cinematic, wide shot of Beth3 as a futuristic cybernetic explorer standing on the neon-lit crystalline plains of a distant purple planet."*
> *"A cozy, sun-drenched oil painting of Beth3 reading an ancient leather book in a dusty Victorian library filled with floating candles."*
> *"A high-fashion editorial photo of Beth3 wearing an avant-garde gown made of liquid gold, posing amidst a surreal desert of white sand."*
## Training snapshots
Directly usable LoRA weights saved during training:
- [Step 200](./snapshots/step-200.safetensors)
- [Step 400](./snapshots/step-400.safetensors)
- [Step 600](./snapshots/step-600.safetensors)
- [Step 800](./snapshots/step-800.safetensors)
- [Step 1000](./snapshots/step-1000.safetensors)
- [Step 1200](./snapshots/step-1200.safetensors)
- [Step 1400](./snapshots/step-1400.safetensors)
- [Step 1600](./snapshots/step-1600.safetensors)
- [Step 1800](./snapshots/step-1800.safetensors)
- [Step 2000](./snapshots/step-2000.safetensors)
## 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("Lonuhbow/beth3")
image = pipe("A cinematic, wide shot of Beth3 as a futuristic cybernetic explorer standing on the neon-lit crystalline plains of a distant purple planet.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
```
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