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:
- a6b91121e3859705e75f21b9e9fa8f19f0f8957b44ce03ce4ac3dcb2dae3a422
- Size of remote file:
- 8.3 GB
- SHA256:
- 94fb15bbd6bbced04b0cad36851995d7c3098e1dede5751ba7526dfcbdf76330
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