Instructions to use Yuyang-z/test-streaming with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yuyang-z/test-streaming with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yuyang-z/test-streaming", 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
- Xet hash:
- 0d6924af1890deff18c2cf53f8cefecd3896515fb4994bba7e3838c711c36715
- Size of remote file:
- 12.3 MB
- SHA256:
- c34a672a64d8ee9b10b3aea7b38ad7736aca23d87c24d3a4f8dac019a7c9dc08
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