Instructions to use callgg/higgs-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use callgg/higgs-encoder with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("callgg/higgs-encoder", 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:
- cd92629a048ae7e9185797bbef12cecd29b8b5b780415aec3b67b9ba4801089f
- Size of remote file:
- 806 MB
- SHA256:
- e64349910124c5e615bae9e373f45d0ed346056910844ae1a5ac44c92dc24c92
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