Instructions to use ilkerzgi/krea-2-frosted-pastel-diffusion-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ilkerzgi/krea-2-frosted-pastel-diffusion-lora 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ilkerzgi/krea-2-frosted-pastel-diffusion-lora") prompt = "a lighthouse on a rocky cliff. frosted pastel diffusion style" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 8e37aa45ff583a9f6bbae3d681ede6baf16724c81a0df077f35f51d0a26ea76b
- Size of remote file:
- 104 kB
- SHA256:
- 5a0ae0ef19c041ae1d0cf6e3f89a40ea65f0f16ee598663da1edf2cf63696d5b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.