Instructions to use GraydientPlatformAPI/mala with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/mala 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/mala", 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:
- 5ff2c9b43038d10fb8e4e3f096edd6e255ecde805646476c58ff25805ee6e3de
- Size of remote file:
- 246 MB
- SHA256:
- 60a6ab070ea99905da0159ad5d115c775e8adf18ae3603d7803db40239b385be
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