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:
- 9b4f317351025efde069c8c37b0c89d80e8b11d435ff8aa52583a6a786692b63
- Size of remote file:
- 6.85 MB
- SHA256:
- 171a9802e33e2a6dd53aa1558cdee0a573eba0ac9a6aa863430a688d446867dc
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