Instructions to use ilkerzgi/krea-2-grainy-lomography-night-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ilkerzgi/krea-2-grainy-lomography-night-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-grainy-lomography-night-lora") prompt = "a lighthouse on a rocky cliff. grainy lomography night style" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- e7f45c1c4ee03ef3de6c027f26b8257ee56b9067190b9bbfbd815ea52f382de7
- Size of remote file:
- 158 kB
- SHA256:
- 83cd9d21369090c2edf33d3397bc708f064917f22b37e185697c42673c0aaa3f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.