Instructions to use GraydientPlatformAPI/cyb33 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/cyb33 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/cyb33", 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:
- a96098ea8f8fe6a11c997b27983e0e30718eaabeb500bb7a67d157aee8eb5e75
- Size of remote file:
- 492 MB
- SHA256:
- 3f243b7a83a2568157e427f0eac236048144914d1932147ae400d4bc0366f16b
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