Instructions to use Nyaster/tensorRTTest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nyaster/tensorRTTest with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Nyaster/tensorRTTest", torch_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:
- aea085f575246b501d71a97f12548c6d8377b298cb6413a038f888cfc3f82599
- Size of remote file:
- 492 MB
- SHA256:
- 0a5d72da6521a8df3e8a2924491223b5682141714c5132423ade6234a5880b65
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