Instructions to use nitrosocke/mo-di-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nitrosocke/mo-di-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nitrosocke/mo-di-diffusion", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
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Add diffusers code example
57118d1 -
Renamed the model and updated the readme
74001fb -
Add Diffusers model (#2)
- Add Diffusers model (f7dcf4749f2225291f1631b291fbb39a68cf910f)e721b74
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updated the readme with prompts and settings
28d44b5 -
Update README.md
a1d8b25 -
Upload 3 files
6920841 -
Upload modernDisney-v1-pruned.ckpt
08c90a9 -
initial commit
860871b