Instructions to use lloydchristmas1231/kaitbaug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lloydchristmas1231/kaitbaug 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/kaitbaug") prompt = "A cinematic wide shot of a futuristic cyberpunk city street under neon rain, featuring a floating kaitbaug drone patrolling the chrome skyscrapers." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA โ lloydchristmas1231/kaitbaug

- Prompt
- A cinematic wide shot of a futuristic cyberpunk city street under neon rain, featuring a floating kaitbaug drone patrolling the chrome skyscrapers.

- Prompt
- An oil painting of a serene cottage garden in the English countryside, where a small kaitbaug creature rests among blooming peonies.

- Prompt
- A high-fashion editorial photograph of a model wearing an avant-garde gown made of liquid gold, holding a glowing kaitbaug crystal in a void of deep velvet black.
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 kaitbaug to invoke the concept.
Samples
"A cinematic wide shot of a futuristic cyberpunk city street under neon rain, featuring a floating kaitbaug drone patrolling the chrome skyscrapers."
"An oil painting of a serene cottage garden in the English countryside, where a small kaitbaug creature rests among blooming peonies."
"A high-fashion editorial photograph of a model wearing an avant-garde gown made of liquid gold, holding a glowing kaitbaug crystal in a void of deep velvet black."
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/kaitbaug")
image = pipe("A cinematic wide shot of a futuristic cyberpunk city street under neon rain, featuring a floating kaitbaug drone patrolling the chrome skyscrapers.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for lloydchristmas1231/kaitbaug
Base model
krea/Krea-2-Raw

