Instructions to use callgg/higgs-decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use callgg/higgs-decoder 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-decoder", 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:
- 9948c75f9c14d166652dee38424d77d62b7090c7c52df3c10451310d52f9a556
- Size of remote file:
- 17.2 MB
- SHA256:
- 1a222563314bf6ffe3471622bff017ff5bb0630f2924faf44216195ebfef2af3
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