Instructions to use ilkerzgi/krea-2-amber-backlit-lens-flare-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ilkerzgi/krea-2-amber-backlit-lens-flare-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-amber-backlit-lens-flare-lora") prompt = "a lighthouse on a rocky cliff. amber backlit lens flare style" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- db50202e36c599d561f3056b4fd5870a188add31b5e06c6bbf99dd48e87a0896
- Size of remote file:
- 235 MB
- SHA256:
- 71b50075736433a03e8b948c1ae3e394a952b268b7a51d68d2593db0e290c177
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.