Instructions to use ilkerzgi/krea-2-frosted-pastel-diffusion-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ilkerzgi/krea-2-frosted-pastel-diffusion-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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ilkerzgi/krea-2-frosted-pastel-diffusion-lora") prompt = "a lighthouse on a rocky cliff. frosted pastel diffusion style" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 198ff448724e4a8feba76db31b276be1afc046403afe4bccd55fcbf487048bad
- Size of remote file:
- 235 MB
- SHA256:
- da9f816612ea2c98b8bc87a6d625ea8617ecad43f4298ac823eec3880960aa9e
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