Instructions to use GraydientPlatformAPI/nova-reality5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/nova-reality5 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-reality5", 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:
- 7c2c1ba598110ecdb5747f7f13fa12a0a647090a9afd18c3135a6a7bd0fbbcc1
- Size of remote file:
- 1.39 GB
- SHA256:
- 55c472a4e9bd5fe26eef22c8bc8881136f809dc451cb66921db39cbea2d6ee3f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.