Instructions to use alexyan123/NeoVerse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alexyan123/NeoVerse with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("alexyan123/NeoVerse", 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:
- 69eecef6732f3d8c0210996da2cc6639d775ae289621dda7e5676c73dd1c1c41
- Size of remote file:
- 6.04 GB
- SHA256:
- fd87ca703cf026c19e345e08f68292ae5a43e34d77ff20c7b49b78907e10f5c9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.