Instructions to use GraydientPlatformAPI/seizamix2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/seizamix2 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/seizamix2", 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:
- 3b650fe6036ad531efdef1a4339339b4f4fd71069b07a8f91442e6b6d31dc6a8
- Size of remote file:
- 246 MB
- SHA256:
- 5fe9ef29e92ab7b8a6f210e3e8e38678d42ca9c4d301884f0f56d9153deb3bbb
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