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
- Xet hash:
- 4673814b357388f1f718c6473de086509b998c4892fa6adea367fce4e99d1892
- Size of remote file:
- 1.38 kB
- SHA256:
- a9ba6bc47b7d7075c0faf0cf6edd8acebaf9f2fe1f588899d6e7323b00f89979
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