Instructions to use GraydientPlatformAPI/tooboring with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/tooboring 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/tooboring", 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:
- 99744718daf22f97ae3db0216df45879d4fbacbbfa4f9897c08bd71f5c7cae4d
- Size of remote file:
- 1.72 GB
- SHA256:
- 3d6205735b33c933a8e4bfeb370d9c3cae02edb0a31f11e542cb57ff434a53ce
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.