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:
- 462f8fe69d10a5b525f3ef21a85967c358550e0110fbd877bee3c4a2dbf17259
- Size of remote file:
- 6.85 MB
- SHA256:
- abcd46eaf64226001a130d91ae12abc173db5dfdfbc9bf4cff633b778cf978dd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.