Instructions to use GraydientPlatformAPI/nova-animalpony with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/nova-animalpony 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/nova-animalpony", 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:
- 5fd4081a35ac154c7c39551005ae21e6387ab478cb1c4a4c09dd37905ffa5a77
- Size of remote file:
- 1.39 GB
- SHA256:
- 2958ef51e01ec2ff6583f6d281efeb04a69778cd4cefc64c1e157d4e803aff09
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.