Instructions to use ilkerzgi/krea-2-azure-sunlit-storybook-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ilkerzgi/krea-2-azure-sunlit-storybook-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", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ilkerzgi/krea-2-azure-sunlit-storybook-lora") prompt = "a city skyline at night. azure sunlit storybook style" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- c19b01569df071222026f4eb88c5a5ae21e272c6031117abe2183733ddf35534
- Size of remote file:
- 469 MB
- SHA256:
- 7c66a209e24f8dfe7d87246f77de0fee8759f0b47ca34815efa1984c8956cb87
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