Instructions to use GraydientPlatformAPI/model_132 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/model_132 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/model_132", 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:
- f1319fbbaa94badd09a80dec76601f537388587d58fa5e9c02d5a31c4f16f64a
- Size of remote file:
- 335 MB
- SHA256:
- c04d1d43cf2a3167b39b7c0a83889123c6a2ff2e8aa77cc7d9884bd2fa11f097
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