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:
- 8b4c1f4a0ab21dfa55fc82e19e4b9d1fb63d3877d6b960c9bd1cdba624eaabce
- Size of remote file:
- 1.44 GB
- SHA256:
- 1b65d1627d258b794a982dd24f6a2f35ec7069dfb586f82df7a552ea490ac71e
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