Instructions to use Amador1989/SlipedKrea2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Amador1989/SlipedKrea2 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("Amador1989/SlipedKrea2") prompt = "woman wearing a loose tanktop with deep arm holes - leaning forward - viewed from side. nipslip Blue eyes, shy smirk. photo. nipple visible." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
SlipedKrea2

- Prompt
- woman wearing a loose tanktop with deep arm holes - leaning forward - viewed from side. nipslip Blue eyes, shy smirk. photo. nipple visible.
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