Instructions to use GraydientPlatformAPI/t3-122 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/t3-122 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/t3-122", 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:
- 7664c65397fcfe3887fe619fff7d7dc82cd3a1944e10d537f735c3c63ce99fe2
- Size of remote file:
- 1.72 GB
- SHA256:
- 7240627bcc6099fc913652a01bb5a6e8936873a55f669937e4905beedcab7f0f
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