Instructions to use GraydientPlatformAPI/dodecahedron-ddd100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/dodecahedron-ddd100 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/dodecahedron-ddd100", 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:
- 766bb69b8eeb39179df5201120a9de2fac2900e4eb446c6fdc0b01ff8ec2eb61
- Size of remote file:
- 246 MB
- SHA256:
- 224d8d69ff8dacc8cc928078a571b3a2aaa0ae27b3fd4904a2c719e7db150dbf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.