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
Download embeddings/anime style embed.pt from mirroring/civitai_mirror: direct link, hf CLI and curl.
- Browser
- Download file 4.31 kB
-
https://huggingface.co/mirroring/civitai_mirror/resolve/6080207a3995bdbef193436fa44fd7ada8c88670/embeddings/anime%20style%20embed.pt
- Command line
-
hf download 'hf://mirroring/civitai_mirror@6080207a3995bdbef193436fa44fd7ada8c88670/embeddings/anime style embed.pt'
-
curl -L -o 'anime style embed.pt' https://huggingface.co/mirroring/civitai_mirror/resolve/6080207a3995bdbef193436fa44fd7ada8c88670/embeddings/anime%20style%20embed.pt
4.31 kB
- Xet hash:
- 8c0a91e8856d033aa84be1587e1e66c40396a52593f0cec6ce458521627b8a80
- Size of remote file:
- 4.31 kB
- SHA256:
- ef46e43801efe6e30b83df41841ec2a855bbdb051b797e4de9b75d3a617ea81f
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