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:
- ac73a6ef593c3344f9366a2aecb8f53212bd5dac207ce2d4bb81cc71d7fee0c6
- Size of remote file:
- 6.85 MB
- SHA256:
- 784f4f7b62dae1aacc7e228568008b385c3466ae8b9e20e13c6291b7e0f6abea
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.