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:
- e23db4d4b6fa893feaa9bf76d41cc431163841973bf25b7d2b2e17cc49ec5225
- Size of remote file:
- 118 kB
- SHA256:
- fbb5a91181b76f2a2ac40b0d35062757a986b2b48b749e3ac7e127959861f388
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