Instructions to use konapieces/VoidnoiseCore with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use konapieces/VoidnoiseCore with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("konapieces/VoidnoiseCore", 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:
- 3e654d61ebe6dfedfd7587e7715959532c1135dc515c214c2d0c616d82722856
- Size of remote file:
- 5.28 MB
- SHA256:
- 78d27bdbeb2dd0be96f944612b3ea044aab7e22e71c8ba27c91c497bf9060f29
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