Instructions to use Buntopsih/novgoranstefanovski with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Buntopsih/novgoranstefanovski with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Buntopsih/novgoranstefanovski", 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:
- c2f0010556826c24508c3f27662f753e691d2e4f26be6d82464a49a05717013c
- Size of remote file:
- 492 MB
- SHA256:
- 571866f342a616ef7fdbea84c287f8246886365a6572286bb6b53f0f3214d6e3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.