Instructions to use aimalias/k4t-krea with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aimalias/k4t-krea 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("aimalias/k4t-krea") prompt = "A K4TD woman wearing futuristic neon armor, standing in the middle of a rain-slicked cyberpunk street filled with glowing holographic advertisements." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA โ aimalias/k4t

- Prompt
- A K4TD woman wearing futuristic neon armor, standing in the middle of a rain-slicked cyberpunk street filled with glowing holographic advertisements.

- Prompt
- A K4TD woman in a flowing linen dress, reading an ancient leather-bound book within a sun-drenched Mediterranean garden overgrown with white bougainvillea.

- Prompt
- A K4TD woman as a deep-sea explorer, wearing a high-tech diving suit and swimming alongside bioluminescent jellyfish in a dark, shimmering oceanic 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 K4TD woman to invoke the concept.
Samples
"A K4TD woman wearing futuristic neon armor, standing in the middle of a rain-slicked cyberpunk street filled with glowing holographic advertisements."
"A K4TD woman in a flowing linen dress, reading an ancient leather-bound book within a sun-drenched Mediterranean garden overgrown with white bougainvillea."
"A K4TD woman as a deep-sea explorer, wearing a high-tech diving suit and swimming alongside bioluminescent jellyfish in a dark, shimmering oceanic 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("aimalias/k4t")
image = pipe("A K4TD woman wearing futuristic neon armor, standing in the middle of a rain-slicked cyberpunk street filled with glowing holographic advertisements.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for aimalias/k4t-krea
Base model
krea/Krea-2-Raw

