Instructions to use Nilaier/Waifu-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nilaier/Waifu-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("Nilaier/Waifu-Diffusers", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
[Tutorial] How to Run and Convert Stable Diffusion Diffusers (.bin Weights) & Dreambooth Models to CKPT File
I hope this video gets added to the FAQ, wiki and stickies.
Appreciate very much.
Full Stable Diffusion related playlist that explains both on google colab and PC by Automatic1111 Web UI :
➡️ https://www.youtube.com/playlist?list=PL_pbwdIyffsmclLl0O144nQRnezKlNdx3
That's an interesting suggestion. But this model was mostly made for using in Dreambooth. And because official Dreambooth notebook and Dreambooth extension for Automatic's WebUi uses diffusers, i think this tutorial is pretty unnecessary. Especially when you can just download an original model from hakurei's repo down in the description of this repo.
That's an interesting suggestion. But this model was mostly made for using in Dreambooth. And because official Dreambooth notebook and Dreambooth extension for Automatic's WebUi uses diffusers, i think this tutorial is pretty unnecessary. Especially when you can just download an original model from hakurei's repo down in the description of this repo.
correct. but think as this is a general tutorial
