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:
- 05ff23e0b295b1cb6af2e60764f277f91a3709f43b162450e04185ca2eece465
- Size of remote file:
- 569 kB
- SHA256:
- 8e2e8cb30e863fb18f9e1d87773e09ad7da13c5ae4b5550be4dea6355b4ca1a7
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