Instructions to use lloydchristmas1231/halbaug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lloydchristmas1231/halbaug 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("lloydchristmas1231/halbaug") prompt = "A futuristic cyberpunk cityscape at night with neon signs reflecting in rain-slicked streets, featuring a glowing halbaug floating above a high-tech plaza." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA โ lloydchristmas1231/halbaug

- Prompt
- A futuristic cyberpunk cityscape at night with neon signs reflecting in rain-slicked streets, featuring a glowing halbaug floating above a high-tech plaza.

- Prompt
- A serene, sun-drenched Tuscan vineyard during golden hour, where a rustic halbaug rests atop a weathered stone wall surrounded by grapevines.

- Prompt
- An ethereal underwater kingdom with iridescent coral reefs and shimmering jellyfish, showcasing a crystalline halbaug drifting through a deep blue abyss.
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 halbaug to invoke the concept.
Samples
"A futuristic cyberpunk cityscape at night with neon signs reflecting in rain-slicked streets, featuring a glowing halbaug floating above a high-tech plaza."
"A serene, sun-drenched Tuscan vineyard during golden hour, where a rustic halbaug rests atop a weathered stone wall surrounded by grapevines."
"An ethereal underwater kingdom with iridescent coral reefs and shimmering jellyfish, showcasing a crystalline halbaug drifting through a deep blue abyss."
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("lloydchristmas1231/halbaug")
image = pipe("A futuristic cyberpunk cityscape at night with neon signs reflecting in rain-slicked streets, featuring a glowing halbaug floating above a high-tech plaza.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for lloydchristmas1231/halbaug
Base model
krea/Krea-2-Raw

