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
| [build-system] | |
| requires = ["setuptools>=61.0"] | |
| build-backend = "setuptools.build_meta" | |
| [project] | |
| name = "nevo-stimulus-synthesis" | |
| version = "0.1.0" | |
| description = "NEVO: neural-response-guided visual stimulus synthesis (custom Diffusers pipeline)." | |
| readme = "README.md" | |
| requires-python = ">=3.10" | |
| dependencies = [ | |
| "torch", | |
| "diffusers", | |
| "transformers", | |
| "huggingface_hub", | |
| "numpy", | |
| "pillow", | |
| "av", | |
| ] | |
| [project.optional-dependencies] | |
| test = ["pytest"] | |
| [tool.setuptools.packages.find] | |
| include = ["stimulus_synthesis*"] | |
| [tool.setuptools.package-data] | |
| "stimulus_synthesis.data" = ["*.npz"] | |
| [tool.pytest.ini_options] | |
| pythonpath = ["."] | |
| testpaths = ["tests"] | |