Instructions to use lloydchristmas1231/halbaug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lloydchristmas1231/halbaug 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-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("lloydchristmas1231/halbaug") prompt = "A futuristic cyberpunk cityscape at night with neon signs reflecting in rain-slicked streets, featuring a glowing halbaug floating above a high-tech plaza." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 930035170e3e1a1e708442a8f4ba0d65e2a985eb94e7457839cf5ed88c5bcb14
- Size of remote file:
- 1.36 MB
- SHA256:
- acb02c523b992d7bd10c2dad203d330eb5641c425913300dbce82daddd279cee
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