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:
- 18acfee0e6c6596f1e24b994114167db03e6610a9e87ed93abf329982179a962
- Size of remote file:
- 186 kB
- SHA256:
- 4dbe6d367095298daf220020a730747bf976e437eeac7ba01d206dd666872f51
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.