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:
- a6fa8f303700aebcc71daa6655f3d5dadd650fd042e3239222ca772c9add3d58
- Size of remote file:
- 1.21 MB
- SHA256:
- e2999d7da900f8cbf3650641ca1a605393fafed2c7f802fe6433e64e49332a63
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