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:
- 9e39fd21719498e225b10520c862b8dd92ac94a9e0b99a22dd25bd0bf42c15b8
- Size of remote file:
- 9.87 MB
- SHA256:
- 99fbc067d06dda99dfdf526c4833da529d992e0c59262e70be78e5716f137385
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