Instructions to use 43ntropy/NEvo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 43ntropy/NEvo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("43ntropy/NEvo", 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
| from .paths import configure_cache as _configure_cache | |
| _configure_cache() | |
| from .pipeline import NevoPipeline | |
| from .outputs import StimulusSynthesisOutput | |
| from .neuro import resolve_driving_voxels | |
| __all__ = ["NevoPipeline", "StimulusSynthesisOutput", "resolve_driving_voxels"] | |