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:
- 7a4ad58fad032c2f1a98c5e3e9845117e434e94281529cbbdb0be002a5d068ff
- Size of remote file:
- 5.14 GB
- SHA256:
- d20393ca805e9e30d3e03250d5bbe790ad3a72774cfb40b48e5f359474b48926
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