Instructions to use GraydientPlatformAPI/stellaratormix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/stellaratormix 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/stellaratormix", 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:
- f9efcde3f01fdd2abbe579226b76f02c82a32a0897675ad381bb60a42b9f2c2b
- Size of remote file:
- 1.39 GB
- SHA256:
- bf0e050056387803775e04ff6f40a2a09d45dc7d4223d4bd3cd5b36f4938a65b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.