Instructions to use elvis92/pets_rank_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use elvis92/pets_rank_2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("elvis92/pets_rank_2") 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 diffusers/.github/workflows/build_documentation.yml from elvis92/pets_rank_2: direct link, hf CLI and curl.
- Browser
- Download file 500 Bytes
-
https://huggingface.co/elvis92/pets_rank_2/resolve/main/diffusers/.github/workflows/build_documentation.yml
- Command line
-
hf download hf://elvis92/pets_rank_2/diffusers/.github/workflows/build_documentation.yml
-
curl -L -o build_documentation.yml https://huggingface.co/elvis92/pets_rank_2/resolve/main/diffusers/.github/workflows/build_documentation.yml
500 Bytes
| name: Build documentation | |
| on: | |
| push: | |
| branches: | |
| - main | |
| - doc-builder* | |
| - v*-release | |
| - v*-patch | |
| jobs: | |
| build: | |
| uses: huggingface/doc-builder/.github/workflows/build_main_documentation.yml@main | |
| with: | |
| commit_sha: ${{ github.sha }} | |
| install_libgl1: true | |
| package: diffusers | |
| notebook_folder: diffusers_doc | |
| languages: en ko zh ja pt | |
| secrets: | |
| token: ${{ secrets.HUGGINGFACE_PUSH }} | |
| hf_token: ${{ secrets.HF_DOC_BUILD_PUSH }} | |