Instructions to use yoinked/ZUN-diffusion-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yoinked/ZUN-diffusion-256 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("yoinked/ZUN-diffusion-256", 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 unet/diffusion_pytorch_model.bin from yoinked/ZUN-diffusion-256: direct link, hf CLI and curl.
- Browser
- Download file 455 MB
-
https://huggingface.co/yoinked/ZUN-diffusion-256/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://yoinked/ZUN-diffusion-256/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/yoinked/ZUN-diffusion-256/resolve/main/unet/diffusion_pytorch_model.bin
455 MB
- Xet hash:
- 467d89f802377f05d4821de5564189bbd8d17994e6eeebfff970383ab595c3ae
- Size of remote file:
- 455 MB
- SHA256:
- de3aba790ce737f2f9c587b5e897647897668cc943490c36eceb530ea0eb30d4
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