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:
- dfc61142cbf1ee80b3f21209a61e4893aabecd64f395625b56775be075692cc2
- Size of remote file:
- 6.85 MB
- SHA256:
- e5bae3731b74e58a50c3da9d4f22889635cdf842ce215982e4f5158b42501d33
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