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:
- 0235579fa3bc19322d6dd38496d554df4dcd376db8aa76605909e53dc2ae3aa1
- Size of remote file:
- 167 MB
- SHA256:
- ab9ac5f8ebf92903b3b420ad184ccc8d7f6834c9651cdccbfaec9fdaa85ac9fe
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