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:
- a0bc78e64ad739bf6787da35745f8e695ac2c4cc2e1e06d770624ce7f6a5c994
- Size of remote file:
- 246 MB
- SHA256:
- 3d8ba3df0038d47f9456f0af06752ab0cb6f84fa89474eefb2a00f33b2141c9f
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