Instructions to use GraydientPlatformAPI/model_128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/model_128 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_128", 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:
- 26c8663062529ef0ff04c122a70e596f224929edce84b5f91d81b5b714a33c54
- Size of remote file:
- 3.44 GB
- SHA256:
- b18cfdb00e5ed677488232c47f0c60fe8a695cf56af9e49fc0175068de131406
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