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", torch_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:
- 8ea3db6e27bf4e10e16da2a456123fb45d64b3e1313432e337687166fa21eceb
- Size of remote file:
- 5.71 GB
- SHA256:
- 0236faa3d4e787cae53ceabcb9e28e9e54e801670f7c7d4b7f07590da7fee973
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