Instructions to use GraydientPlatformAPI/iniverseturbo12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/iniverseturbo12 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/iniverseturbo12", 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:
- c4454a25e2cc526774f2a84e04bb523558fbac6338e768436165d502cf7f245b
- Size of remote file:
- 1.39 GB
- SHA256:
- 47e0d901bb459edd129dd95fbc85080fd0e6a3367a368405d2bfe554f7f43ba1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.