Instructions to use mirroring/civitai_mirror with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mirroring/civitai_mirror with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mirroring/civitai_mirror", 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
File size: 404 Bytes
4c9638a | 1 2 3 4 5 6 7 8 9 10 11 12 | var fs=require('fs');
var files=JSON.parse(fs.readFileSync('civitai.info.json'));
var moves=files.filter(file=>{
return file.model.nsfw==true && file.mirror_path.indexOf('nsfw') == -1
});
moves = moves.map(file=>{
m=file.mirror_path.replace(/\\/g,'/');
m=m.replace(/models\/([^/]+)\/(.+)/g,'git mv "models/$1/$2" "models/$1/nsfw/$2"');
return m;
}).join('\n')
fs.writeFileSync('move-nsfw.sh',moves); |