Instructions to use konapieces/FlatpieceCore with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use konapieces/FlatpieceCore with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("konapieces/FlatpieceCore", 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

- Xet hash:
- 072c90cfc83a3cce7419283dbd52da2c63b795c63ece95c665b9bdfd94ec656e
- Size of remote file:
- 1.2 MB
- SHA256:
- 27b26accd38eb24eff94c47893b265d18121c9f67d5007297014b1128fe33d86
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