Instructions to use DeverStyle/Krea-2-Premium-Loras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DeverStyle/Krea-2-Premium-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("DeverStyle/Krea-2-Premium-Loras") prompt = "Style transfer samples" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- b843ac7935db355d06230e55588d5e09bf6857cb5891785583c0b9bb171c5d65
- Size of remote file:
- 1.13 MB
- SHA256:
- 0c56fc3be227476235b2666c7e8b7375e37fcf6c0ba35a732a17f70284f15383
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