Instructions to use GraydientPlatformAPI/tunix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/tunix 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/tunix", 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:
- 706790438514ea6f80e03151a9dd6d59bfa3bc7bb9a1199977b87a35c39f3b1c
- Size of remote file:
- 246 MB
- SHA256:
- dad2a78a82f1ab623c1668124522da53d498d6580a9d5be1458569b8ec6ee53e
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