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
Download sample_1.png from lloydchristmas1231/halbaug: direct link, hf CLI and curl.
- Browser
- Download file 1.49 MB
-
https://huggingface.co/lloydchristmas1231/halbaug/resolve/main/sample_1.png
- Command line
-
hf download hf://lloydchristmas1231/halbaug/sample_1.png
-
curl -L -o sample_1.png https://huggingface.co/lloydchristmas1231/halbaug/resolve/main/sample_1.png
1.49 MB

- Xet hash:
- 5b255c9409f6406d771309d47e7a782f18d2d8448c112e8a6acec30b83121bea
- Size of remote file:
- 1.49 MB
- SHA256:
- 6c397c8388a325d5fbd21f3a9843a3a210d06a28f5be36973e68f91b87de05c1
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