Instructions to use callgg/hyimg-decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use callgg/hyimg-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/hyimg-decoder", torch_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:
- 499dec00b742ded69f1cc76353a6752dac8e9449683339a5f3e5f79e7abc2611
- Size of remote file:
- 4.24 MB
- SHA256:
- e28c1da9cf9620171c8a0394007a714db1d32fd1d71602d84eea0a294a9bae1c
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