Instructions to use mpsngroup/ainun with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mpsngroup/ainun with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mpsngroup/ainun", 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
Download optimizer.pt from mpsngroup/ainun: direct link, hf CLI and curl.
- Browser
- Download file 173 MB
-
https://huggingface.co/mpsngroup/ainun/resolve/main/optimizer.pt
- Command line
-
hf download hf://mpsngroup/ainun/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/mpsngroup/ainun/resolve/main/optimizer.pt
173 MB
- Xet hash:
- 2932e0fd11dd151119905f1f7877e8a4442c544ad1852105ba146d75adbded1c
- Size of remote file:
- 173 MB
- SHA256:
- 5b283743e1edfb2220b8e039ef104a47e00de4a3b90a72165c45480c3a742d95
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