Instructions to use amankishore/hpchapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use amankishore/hpchapter with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("amankishore/hpchapter", 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:
- 4bcff19b1e01e07dc2e3d63ea6a2f626762845af8a91f3d5c68c8635fb6af833
- Size of remote file:
- 492 MB
- SHA256:
- 1692a17f317fe86470b623c1b4166c874ddd39e1bdf01f862e8c45001849aa02
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