Instructions to use GraydientPlatformAPI/t-illunai3-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/t-illunai3-v2 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/t-illunai3-v2", 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:
- 13e87abeb834c9d656dfdd21bcc8f84304916dfebaf9fc8d496d42de90bdb0d6
- Size of remote file:
- 1.39 GB
- SHA256:
- a9c62e900a7a01fc92aeece279f4c454c4e6e5f408f7f0f9e5b1133dd236f8d4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.