Instructions to use Lonuhbow/beth3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lonuhbow/beth3 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("Lonuhbow/beth3") prompt = "A cinematic, wide shot of Beth3 as a futuristic cybernetic explorer standing on the neon-lit crystalline plains of a distant purple planet." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download sample_2.png from Lonuhbow/beth3: direct link, hf CLI and curl.
- Browser
- Download file 1.34 MB
-
https://huggingface.co/Lonuhbow/beth3/resolve/main/sample_2.png
- Command line
-
hf download hf://Lonuhbow/beth3/sample_2.png
-
curl -L -o sample_2.png https://huggingface.co/Lonuhbow/beth3/resolve/main/sample_2.png
1.34 MB

- Xet hash:
- add5cdd4e96fadd09b2813f3fa8998d50f6c8decb0ec5bcadcbc4c7fc11cf1dc
- Size of remote file:
- 1.34 MB
- SHA256:
- 2a21dc58446efd71d16ad01fd28162587d6b3798b9ddd62cfd5f445afd1f7f75
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