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
File size: 316 Bytes
1e2bb2f | 1 2 3 4 5 6 7 8 9 10 11 12 | from stimulus_synthesis import NevoPipeline
pipe = NevoPipeline.from_pretrained("epfl-neuroai/NEvo")
out = pipe(
target={"type": "indices", "indices": [0, 1, 2]},
seed_prompts=["a person running through a crowded street"],
num_candidates=16,
num_rounds=50,
)
print(out.best_prompt, out.best_score)
|