Instructions to use Stax124/CetusMixCoda with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Stax124/CetusMixCoda with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Stax124/CetusMixCoda", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 1b65462f0b17cddce35f10153f5649224c3ca56969dc9c4dc9e8175120868573
- Size of remote file:
- 335 MB
- SHA256:
- ab94db61a81a99ab97806e78a91b0ee5dd0dea8bb2f8bb94216fd976ce9f173f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.