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/docs/source/ja/_toctree.yml from elvis92/pets_rank_2: direct link, hf CLI and curl.
- Browser
- Download file 257 Bytes
-
https://huggingface.co/elvis92/pets_rank_2/resolve/main/diffusers/docs/source/ja/_toctree.yml
- Command line
-
hf download hf://elvis92/pets_rank_2/diffusers/docs/source/ja/_toctree.yml
-
curl -L -o _toctree.yml https://huggingface.co/elvis92/pets_rank_2/resolve/main/diffusers/docs/source/ja/_toctree.yml
257 Bytes
| - sections: | |
| - local: index | |
| title: 🧨 Diffusers | |
| - local: quicktour | |
| title: 簡単な案内 | |
| - local: stable_diffusion | |
| title: 効果的で効率的な拡散モデル | |
| - local: installation | |
| title: インストール | |
| title: はじめに |