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:
- f5e2a9b7aa58c9732402ea2e59425ead8042548e751ed90f79864461d2ce6ce7
- Size of remote file:
- 1.39 GB
- SHA256:
- 40d9763d712c4d8a760de0b14d273171785c4dd7af8396825061b3298894964d
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