Instructions to use ilahazs/embeddings with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ilahazs/embeddings with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ilahazs/embeddings", 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
Commit History
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Update README.md
f39d313 -
Merge branch 'main' of https://huggingface.co/ilahazs/embeddings
ilahazsgit commit -m "it's fine"acc5fcb -
Menambahkan samples
ilahazs6d00cc2 -
Update README.md
97d9a3a -
Create README.md
7fa2cad -
Menambahkan embeddings
ilahazsf1a3c54 -
initial commit
7aa9b85