Instructions to use GraydientPlatformAPI/donutsdelivery2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/donutsdelivery2 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/donutsdelivery2", 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:
- fa6b69fba9bdb7f95eb512c6936b87c2c5a4543071ca2bfe481c206aab96df0b
- Size of remote file:
- 5.14 GB
- SHA256:
- 14392555428c2cf5f5828be9c97b255204f6a93b834b08206f39820f5052cd50
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.