Instructions to use GraydientPlatformAPI/opend32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/opend32 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/opend32", 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:
- b604604c3dbb899291e6919dab1442f0efafae3e3c02057730a71f3c52a8f4ec
- Size of remote file:
- 1.39 GB
- SHA256:
- 1d18786ccca2a128e9b76f9994f3f073368e9ed51cca294808ada83c857bda27
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