Instructions to use na1taneja2821/diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use na1taneja2821/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("runwayml/stable-diffusion-v1-5", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("na1taneja2821/diffusers") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| - sections: | |
| - local: index | |
| title: 🧨 Diffusers | |
| - local: quicktour | |
| title: クイックツアー | |
| - local: stable_diffusion | |
| title: 有効で効率の良い拡散モデル | |
| - local: installation | |
| title: インストール | |
| title: はじめに | |
| - sections: | |
| - local: tutorials/tutorial_overview | |
| title: 概要 | |
| - local: tutorials/autopipeline | |
| title: AutoPipeline | |
| title: チュートリアル |