Instructions to use MIN-Lab/minWM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MIN-Lab/minWM with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MIN-Lab/minWM", 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:
- dd54b952e54850c1789b7ab1ad247e7f3f386cf5d1eaddc61580e77df5696e7d
- Size of remote file:
- 5.96 GB
- SHA256:
- c3e166254c56e16b4dcfa56b6c55db5059a031e20f2fcff9e09d0f2bb62147dc
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