Instructions to use boredcoder/Fibo-Edit-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use boredcoder/Fibo-Edit-8bit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("boredcoder/Fibo-Edit-8bit", 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:
- d4f5b4a3d30684ca648249f881a8f734bc8f24a220f1fa49c8fc91f4bb204643
- Size of remote file:
- 1.41 GB
- SHA256:
- 230496cb59ff85bc9c040487737c4062480cb61c71e697b197b4c30142f2a0da
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