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:
- aeba5db5890afe8be897a5c276121239b835172b91151ad2d877cdcf40d2f291
- Size of remote file:
- 3.44 GB
- SHA256:
- e551b0bd4e69b2bd2fe73028df4322c164579946f817b20f9aca2cfa3a2a3f9e
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