Instructions to use alea31415/shokei-shojo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alea31415/shokei-shojo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("alea31415/shokei-shojo", 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 alea31415/shokei-shojo: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/alea31415/shokei-shojo/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://alea31415/shokei-shojo/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/alea31415/shokei-shojo/resolve/main/vae/diffusion_pytorch_model.bin
167 MB
- Xet hash:
- 5ab2287a7cf44198a458df17aa4aa25d8a597a0859b2574a6730f871ef6baa97
- Size of remote file:
- 167 MB
- SHA256:
- 41ae1c0f439363cc811fe8ab6df964e47248db26af02298f2e5d89abd2734e64
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