Instructions to use Zephyrus-H/annoyingball with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Zephyrus-H/annoyingball with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Zephyrus-H/annoyingball") prompt = "<Annoyingball>" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 199af30053841c66e69fd0f783c509fbeab0f341a0c729e830d4a9391382167d
- Size of remote file:
- 3.42 MB
- SHA256:
- 74a89b49ba91017e787483a57f0029a5ecd3a5b72bd7fc155392cbc7abb5868f
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