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
- Draw Things
- DiffusionBee
| 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\/[^/]+|embeddings)\/(.+)/g,'git mv "$1/$2" "$1/nsfw/$2"'); | |
| return m; | |
| }).join('\n') | |
| fs.writeFileSync('move-nsfw.sh',moves); |