Instructions to use GraydientPlatformAPI/model_130b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/model_130b 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_130b", 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:
- 6b5e794f323b91159cad72a3aeea1c74d53b6b0e624f72ad74ac205894579144
- Size of remote file:
- 492 MB
- SHA256:
- f889562c1f63789ed40837a48e298825e14f934b4d1831139d196182af439d0b
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