Instructions to use GraydientPlatformAPI/divinemix2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/divinemix2 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/divinemix2", 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:
- 28ce5c4c6dcea85f6f29bde4aaae60025331a00f9515234be6d09b1b02d4f413
- Size of remote file:
- 246 MB
- SHA256:
- 80af561570f248f31d7c517bd8dfa27e4284365065a814e3450faa1916a34e6c
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