Instructions to use GraydientPlatformAPI/i2pony with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/i2pony 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/i2pony", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 4ac0040e4a4d94c4ef2efb925c93f6285a7bb9e9d2e9ac51a49ec85df2ab6cd8
- Size of remote file:
- 1.39 GB
- SHA256:
- 11783d687ec614d5c281350472fbb2e9018160c68eb1916c52563566d378e517
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.