Instructions to use GraydientPlatformAPI/project-aio9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/project-aio9 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/project-aio9", 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:
- d021dce9fbbf73ba62e9c6c3107b63883793c6c065a022d781b42d40ae3870c2
- Size of remote file:
- 1.72 GB
- SHA256:
- 0bda813fe053141d1bc2bb9097ffed1f3929cd431baef8d99d0aae5c59fa8c0e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.