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
Upload /models/Stable-diffusion/nsfw/lifeLikeDiffusion_lifeLikeDiffusionV20.preview.png with huggingface_hub
18bb251 
- Xet hash:
- fee668d3abd1dcc9b7d834d7fc90febb32583a32f566ae16ce582836b648c7ec
- Size of remote file:
- 571 kB
- SHA256:
- 2c36b09304ad6609419f5b9c278ec6e76944b019e926972168db59a682c8bbf8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.