Instructions to use GraydientPlatformAPI/grimlock-void with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/grimlock-void 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/grimlock-void", 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:
- 3b3aa50a09a587e6da7919838297797d0dd2dc2cf2e988fd510f2a86d583e05e
- Size of remote file:
- 246 MB
- SHA256:
- 1a176bcb772d78112d9ade7a30bf4a5b281bf6ada61057528ffcfcbdae37669e
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