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/.github/workflows/build_pr_documentation.yml from d-wang26/wd: direct link, hf CLI and curl.
- Browser
- Download file 542 Bytes
-
https://huggingface.co/d-wang26/wd/resolve/main/diffusers/.github/workflows/build_pr_documentation.yml
- Command line
-
hf download hf://d-wang26/wd/diffusers/.github/workflows/build_pr_documentation.yml
-
curl -L -o build_pr_documentation.yml https://huggingface.co/d-wang26/wd/resolve/main/diffusers/.github/workflows/build_pr_documentation.yml
542 Bytes
| name: Build PR Documentation | |
| on: | |
| pull_request: | |
| paths: | |
| - "src/diffusers/**.py" | |
| - "examples/**" | |
| - "docs/**" | |
| concurrency: | |
| group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }} | |
| cancel-in-progress: true | |
| jobs: | |
| build: | |
| uses: huggingface/doc-builder/.github/workflows/build_pr_documentation.yml@main | |
| with: | |
| commit_sha: ${{ github.event.pull_request.head.sha }} | |
| pr_number: ${{ github.event.number }} | |
| install_libgl1: true | |
| package: diffusers | |
| languages: en ko zh ja pt | |