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:
- 89546004e30b13d17409bfb159db257d4d16c978c65b01107aec29ad20b270ae
- Size of remote file:
- 16.5 MB
- SHA256:
- 1accb4e89df91389d74bf31ae1850567c5f6d514c32ca28dbbbc43ee8ca81564
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