Instructions to use michaelz/MakotoShinkai-Style-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use michaelz/MakotoShinkai-Style-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("michaelz/MakotoShinkai-Style-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
Download vae/diffusion_pytorch_model.bin from michaelz/MakotoShinkai-Style-Diffusion: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/michaelz/MakotoShinkai-Style-Diffusion/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://michaelz/MakotoShinkai-Style-Diffusion/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/michaelz/MakotoShinkai-Style-Diffusion/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- ca759fcd536bc48ec47eccd59e29b75ed12c2b0f3089ffdfa76b169956f47f33
- Size of remote file:
- 335 MB
- SHA256:
- d8a3634f3bbfaacae4d2ef1138e2ba5f7c39a31bb3992f37d1959a5075f98d09
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.