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

- Xet hash:
- c0366f385dd87e462a7116b7daf4afacee8692ab7e7100502034ad0de3ccfeeb
- Size of remote file:
- 197 kB
- SHA256:
- f2df324703a59cd6fcfeec8c67215463b5505da406cf355b5b52f05e3a3a534e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.