Instructions to use motionsomething/magicfixup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use motionsomething/magicfixup with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("motionsomething/magicfixup", 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:
- bc5ac462c42c1f2c3457d8a5f467c409f9f1e4aeff613ce33ad536735ac189a6
- Size of remote file:
- 1.83 GB
- SHA256:
- d3149dfcf5cd37bfd4175982eadec1d078499208b2fc3c5c336b8a4f6a758fa8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.