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 stimulus_synthesis import NevoPipeline | |
| pipe = NevoPipeline.from_pretrained( | |
| "epfl-neuroai/NEvo", | |
| synthesis_config={ | |
| "text_to_image_model_id": "stabilityai/sdxl-turbo", | |
| "image_to_video_model_id": "Lightricks/LTX-Video-0.9.8-13B-distilled", | |
| "encoder_model_id": "epfl-neuroai/vjepa2-encoder-basic", | |
| }, | |
| ) | |
| out = pipe(target={"type": "indices", "indices": [0, 1, 2]}, seed_prompts=["a moving person"]) | |
| print(out.best_prompt, out.best_score) | |