Instructions to use ilkerzgi/krea-2-icy-blue-dreamy-render-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ilkerzgi/krea-2-icy-blue-dreamy-render-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-icy-blue-dreamy-render-lora") prompt = "a lighthouse on a rocky cliff. icy blue dreamy render style" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download images/ex_4.png from ilkerzgi/krea-2-icy-blue-dreamy-render-lora: direct link, hf CLI and curl.
- Browser
- Download file 169 kB
-
https://huggingface.co/ilkerzgi/krea-2-icy-blue-dreamy-render-lora/resolve/main/images/ex_4.png
- Command line
-
hf download hf://ilkerzgi/krea-2-icy-blue-dreamy-render-lora/images/ex_4.png
-
curl -L -o ex_4.png https://huggingface.co/ilkerzgi/krea-2-icy-blue-dreamy-render-lora/resolve/main/images/ex_4.png
169 kB

- Xet hash:
- 4af6fc021844fde866f08d2259dd7d447fc95eee58a8058b72be7fe1619116e9
- Size of remote file:
- 169 kB
- SHA256:
- 4f9d80672390f4048c391a25bf339e6abed890d469ebe7d2efe30781add794fe
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