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", 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
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dc0392c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | - 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 |