Instructions to use liming518/krea2pulledout with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use liming518/krea2pulledout 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-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("liming518/krea2pulledout") prompt = "Cropped example picture from the creator" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/img0.jpg
text: Cropped example picture from the creator
- output:
url: images/img1.jpg
text: Cropped censored image I created with this lora
base_model: krea/Krea-2-Turbo
instance_prompt: null
Lora for Krea 2 Turbo
excessive saliva version

- Prompt
- Cropped example picture from the creator

- Prompt
- Cropped censored image I created with this lora