Instructions to use OrangyDev/baldi-phonk-real with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OrangyDev/baldi-phonk-real with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OrangyDev/baldi-phonk-real", 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:
- f88206111754267dfa0ab2e708c0b77318e3de6c4a78cd21852f3aea9113d145
- Size of remote file:
- 111 MB
- SHA256:
- a60e791e3ca9bdbbc651828ba5effb31dc676ed8cce3727a99d3adf61d4eb6b9
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