Instructions to use msrcam/Zimage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use msrcam/Zimage with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("msrcam/Zimage", 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:
- 4170c9a7b725a4b7d64a88bf7773bfbef1490be5f418cb4aa479aa5a151c6d98
- Size of remote file:
- 67 MB
- SHA256:
- 4fa0d38905f75ac06eb49a7951b426670021be3018265fd191d2125df9d682f1
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