Instructions to use Zephyrus-H/annoyingball1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Zephyrus-H/annoyingball1 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/annoyingball1") prompt = "annoyingball" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 17662c8649ab67beedfe142dae19e3856debf6c6fbb52376f36e14202f0e73ac
- Size of remote file:
- 6.85 MB
- SHA256:
- 3ea17daf5f51d395bcc60543d7b68fe347a0bdb7afa69227ab76fad8916037ff
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