Instructions to use pranaykoppula/hughdb2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pranaykoppula/hughdb2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("pranaykoppula/hughdb2", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- fba1e1f923cd682b8e103aa036057570c54f10471be2b53e40c16819637fd08d
- Size of remote file:
- 335 MB
- SHA256:
- 8b3c86c36b8ad5baebb0c41c0b1ee7d5966e075754e088156a9a28db709d103b
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