Instructions to use Nilaier/Waifu-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nilaier/Waifu-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Nilaier/Waifu-Diffusers", 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 text_encoder/pytorch_model.bin from Nilaier/Waifu-Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Nilaier/Waifu-Diffusers/resolve/refs%2Fpr%2F18/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Nilaier/Waifu-Diffusers@refs/pr/18/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Nilaier/Waifu-Diffusers/resolve/refs%2Fpr%2F18/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- a55585a5cddad637f4459669b8d3a51564e65b1401df632709a925ea4c2bca2e
- Size of remote file:
- 492 MB
- SHA256:
- 741fc9541f23352330b40283ceb1970ef1b1978cd613a9fca40a71a50ffa8672
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