Instructions to use Thnesko/Krea2_Loras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Thnesko/Krea2_Loras 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("Thnesko/Krea2_Loras") prompt = "Smiling Cat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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("Thnesko/Krea2_Loras")
prompt = "Smiling Cat"
image = pipe(prompt).images[0]LoRas

- Prompt
- Smiling Cat
- Negative Prompt
- Good-Looking
Download model
Download them in the Files & versions tab.
- Downloads last month
- 1,050
Model tree for Thnesko/Krea2_Loras
Base model
krea/Krea-2-Raw