Instructions to use CabalResearch/Mugen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CabalResearch/Mugen with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CabalResearch/Mugen", 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:
- b99b61b90655210597747e206e2f16338a975bc43b13ec163eccfb823e1dff4e
- Size of remote file:
- 4.08 MB
- SHA256:
- fbf7e3a2f41886e9299df7917151bf97a40736f672cbfbe6270543656698ca73
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.