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
Download rembrandt100/diffusion_pytorch_model.bin from maplebb/DuMo: direct link, hf CLI and curl.
- Browser
- Download file 1.44 GB
-
https://huggingface.co/maplebb/DuMo/resolve/main/rembrandt100/diffusion_pytorch_model.bin
- Command line
-
hf download hf://maplebb/DuMo/rembrandt100/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/maplebb/DuMo/resolve/main/rembrandt100/diffusion_pytorch_model.bin
1.44 GB
- Xet hash:
- 7fabe8613b2574fb454c7bbddfc967ca50063db77d74f5b194e81f40fc329c91
- Size of remote file:
- 1.44 GB
- SHA256:
- ee5cbcca2c67973a7091ae14bb057a064fff8ef0d2493f5df6e783893e4a809d
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