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:
- 0163ac069268d6609b87a0cd87d810307bd6e537b74111cef08e81f9c0e03680
- Size of remote file:
- 323 MB
- SHA256:
- 2d6bac424a01553fda1874cea02820b62c6b31997e5a5f5e81d71103ed57f11d
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