Instructions to use hf-internal-testing/tiny-zimage-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-zimage-pipe with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-zimage-pipe", 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:
- 6655ac39664c516d3c37e4eb88c4ca9269da04bb9d22cb9059ecc7c8acb5e9ab
- Size of remote file:
- 1.46 MB
- SHA256:
- a9f9488caf40f903974710774425a52a772f8e27ff4806cb975e8cdbd9050b6c
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