Instructions to use stablediffusionapi/noosphere with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/noosphere with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/noosphere", torch_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:
- ff70435ab699d5a73f80aeb94d0c12f9b54f707eed4da1f053ece59d21fae0ca
- Size of remote file:
- 1.72 GB
- SHA256:
- 9984b8dfa20d93d0fddbee94d12d2172a1deadda28759fd3becf5e5a7c9b3b41
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.