Instructions to use GraydientPlatformAPI/t3-test3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/t3-test3 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/t3-test3", 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:
- 78a91290a10bbcf846a299aa22257859d0ccc86bd3daf303083cf48833c322b0
- Size of remote file:
- 167 MB
- SHA256:
- 5d8d8f4984f30aa737997d63ead7f9995e6e78297801225a0c3f067c03fb3f0a
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