Instructions to use d-wang26/wd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use d-wang26/wd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("d-wang26/wd", 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 diffusers/docs/source/zh/_toctree.yml from d-wang26/wd: direct link, hf CLI and curl.
- Browser
- Download file 222 Bytes
-
https://huggingface.co/d-wang26/wd/resolve/main/diffusers/docs/source/zh/_toctree.yml
- Command line
-
hf download hf://d-wang26/wd/diffusers/docs/source/zh/_toctree.yml
-
curl -L -o _toctree.yml https://huggingface.co/d-wang26/wd/resolve/main/diffusers/docs/source/zh/_toctree.yml
222 Bytes
| - sections: | |
| - local: index | |
| title: 🧨 Diffusers | |
| - local: quicktour | |
| title: 快速入门 | |
| - local: stable_diffusion | |
| title: 有效和高效的扩散 | |
| - local: installation | |
| title: 安装 | |
| title: 开始 | |