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
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/623932409_1233021938925338_6298497108347682219_n.gif
text: Smiling Cat
parameters:
negative_prompt: Good-Looking
base_model: krea/Krea-2-Raw
instance_prompt: null
LoRas

- Prompt
- Smiling Cat
- Negative Prompt
- Good-Looking
Download model
Download them in the Files & versions tab.