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:
- 7ad21ed820ca3f97c3c0ec433eecd74163aa9748b5dd2aca1e3785a219578dd3
- Size of remote file:
- 6.85 MB
- SHA256:
- f0d7db9d43f6faac9bdc70a637935e67027bdf1ddbf25539855fa65fc6467490
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