Instructions to use Nbunberry/krea3nvoidlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nbunberry/krea3nvoidlora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Nbunberry/krea3nvoidlora") prompt = "A cinematic wide shot of a vzx person wearing iridescent neon armor, standing amidst the floating crystal gardens of a futuristic nebula city." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA โ Nbunberry/krea3nvoidlora

- Prompt
- A cinematic wide shot of a vzx person wearing iridescent neon armor, standing amidst the floating crystal gardens of a futuristic nebula city.

- Prompt
- A moody, candlelit oil painting of a vzx person dressed in Victorian velvet attire, reading an ancient leather-bound grimoire in a dusty gothic library.

- Prompt
- A high-action GoPro angle of a vzx person surfing a massive, golden liquid-metal wave under a triple-sun desert sky.
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 vzx person to invoke the concept.
Samples
"A cinematic wide shot of a vzx person wearing iridescent neon armor, standing amidst the floating crystal gardens of a futuristic nebula city."
"A moody, candlelit oil painting of a vzx person dressed in Victorian velvet attire, reading an ancient leather-bound grimoire in a dusty gothic library."
"A high-action GoPro angle of a vzx person surfing a massive, golden liquid-metal wave under a triple-sun desert sky."
Use it with diffusers
import torch
from diffusers import Krea2Pipeline
pipe = Krea2Pipeline.from_pretrained("krea/Krea-2-Turbo", torch_dtype=torch.bfloat16).to("cuda")
pipe.load_lora_weights("Nbunberry/krea3nvoidlora")
image = pipe("A cinematic wide shot of a vzx person wearing iridescent neon armor, standing amidst the floating crystal gardens of a futuristic nebula city.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for Nbunberry/krea3nvoidlora
Base model
krea/Krea-2-Raw

