Instructions to use GraydientPlatformAPI/4thtail-beta5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/4thtail-beta5 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/4thtail-beta5", 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:
- 0e368f01b240bf1c864fc9471339262a9ec15afb965a51394795b31c41a938c3
- Size of remote file:
- 5.14 GB
- SHA256:
- 5fe275c2c4d0c4d010cecfaeac3f069d7a08612ed7420e886d4d08b21e5655be
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.