Instructions to use GraydientPlatformAPI/model_136ma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/model_136ma 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_136ma", 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:
- 7ad48624107a037d6a0c96610cece42d7237be8e9141145ac8ade17f17e84be3
- Size of remote file:
- 1.22 GB
- SHA256:
- 9d6a233ff6fd5ccb9f76fd99618d73369c52dd3d8222376384d0e601911089e8
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