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:
- 6a1e8096b5a225f5d1f79b1f31490ef4eabe26e97156a58e02161a1c0d8846fb
- Size of remote file:
- 5.14 GB
- SHA256:
- 46f7fcb966c9f692415a84aabc9d865c956f98833e8d7453688c641e7353e6fe
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