Instructions to use GraydientPlatformAPI/ttmproper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/ttmproper 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/ttmproper", 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:
- 030c414d8c418aaa67de1adbb8318751f4ecedd2550a712670d753417d10924a
- Size of remote file:
- 1.39 GB
- SHA256:
- ca2ac132f88b798aa79198271024e5695c95920f1ee69e5f9c3d195bd111bb98
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