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:
- d6c98043cd21774b91527b71112871638e7cbc7012f8799914711ccae77c7b36
- Size of remote file:
- 1.17 kB
- SHA256:
- 2c88f34430f6174f0a4558be45c68abce521a2392c0af0669c5381f9ea352ab8
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