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
- Draw Things
- DiffusionBee
- Xet hash:
- 6e46f1aebbb9bffa8957d3354f4617654453233f6590309b3a39b826c0603f86
- Size of remote file:
- 2.73 MB
- SHA256:
- 7d64784317562c2b5923101dd09fbc6901dc423fa8a8e0ce91b103b6e87cb7c2
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