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:
- 6eb09cc81e552140073a559c51066ba00c2138d579fd09f37f63c19a0d10249e
- Size of remote file:
- 335 MB
- SHA256:
- 0d1e82f7e83864ce375557c0839748d4d63bcddd8c2332dd18251bb4d39dde1c
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