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: 340 Bytes
1e2bb2f | 1 2 3 4 5 6 7 | # Optional cache-directory override for HuggingFace/torch downloads and run outputs.
# Cache resolution priority:
# 1. NEVO_CACHE_DIR below (if set)
# 2. the system/user-default HuggingFace cache (HF_HOME, else ~/.cache/huggingface)
# 3. <repo>/cache/ (only if no default is resolvable)
# NEVO_CACHE_DIR=/absolute/path/to/nevo_cache
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