Instructions to use hustvl/Moebius with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hustvl/Moebius with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hustvl/Moebius", 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:
- e6e696db615b2a3ebe94478dc2bab8c28e18de6807eb44977aea56d90322ca4d
- Size of remote file:
- 905 MB
- SHA256:
- 6c9ee08ce467af48767b74416646d82f8a0c1dcfb558c478e635cef0ca8b2ad2
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