Instructions to use maplebb/DuMo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use maplebb/DuMo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("maplebb/DuMo", 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:
- 9736449e799f28cba1ca318f0862f227632fcc8efda7f7bf82867ca1b56e6207
- Size of remote file:
- 1.44 GB
- SHA256:
- f47bbacdafdd3ede3553743b8c974f2481717c06e098b9a7bfce3dc97e967c78
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