Instructions to use Xeronate/sggryzza with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Xeronate/sggryzza with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Xeronate/sggryzza", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 48171793fac08a1a634a0824716a48c9ca14696b24241fa00cf67ef00bc11400
- Size of remote file:
- 246 MB
- SHA256:
- db686f632424b8276d36543e356cf7f79d99cec9aa8f271106defc00bf68eefa
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