Instructions to use raw-vitor/nyvit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use raw-vitor/nyvit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("raw-vitor/nyvit", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 531e75507ba6fb4296686c52877a05eaed4389f90439d32fdfe5ec60f27a96fa
- Size of remote file:
- 246 MB
- SHA256:
- 5adfbb31653e3e0d34f2dc486e95633a17478e4095df839e7dda0201051be230
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