Instructions to use hjgp/whole with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hjgp/whole with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hjgp/whole", 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:
- 3c240625950b90e540e4c58e195b412cb367b90463559a24e80ad2b92947e348
- Size of remote file:
- 492 MB
- SHA256:
- c524ee55b91a7eebe23c98bc6166f4ad990d27c625a8f002012898d70c6ef0af
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