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:
- 67923fab5ff85762fba2756977f0d4b6dc4af2bdc1cb8935858daaca839e188e
- Size of remote file:
- 458 kB
- SHA256:
- e30bf72e7656bce0b4301fa67641bc42a8553a9787cb82e341960e96c4c3e4fa
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