Instructions to use skellertor/default with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use skellertor/default with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("skellertor/default", 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:
- 820b9aa58d2a0288738744abc7813e930e50737efc7dd3e80db48209fa1fd667
- Size of remote file:
- 492 MB
- SHA256:
- d371dbfa4a7cae29e5bdbd83658e4a89fd69ba7d62169f969e962d6cb4391752
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