Instructions to use tacoz/eggz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tacoz/eggz with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tacoz/eggz", 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:
- 12125345145a5113a3446b34a823018440a8e0002dc107366b37f200fba8f62e
- Size of remote file:
- 246 MB
- SHA256:
- f0549c6b9a0efd234d6c38b8989f1f24b7aa7caa46efc05372de4e8c336bf23e
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