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/AS-Young.jpg from mirroring/civitai_mirror: direct link, hf CLI and curl.
- Browser
- Download file 1.05 MB
-
https://huggingface.co/mirroring/civitai_mirror/resolve/refs%2Fpr%2F27/embeddings/AS-Young.jpg
- Command line
-
hf download hf://mirroring/civitai_mirror@refs/pr/27/embeddings/AS-Young.jpg
-
curl -L -o AS-Young.jpg https://huggingface.co/mirroring/civitai_mirror/resolve/refs%2Fpr%2F27/embeddings/AS-Young.jpg
1.05 MB

- Xet hash:
- 400fb216396e0f1f3e816c8244f7709de6b42e49f56ae11750919353c0215c31
- Size of remote file:
- 1.05 MB
- SHA256:
- e1d21a3a35f9111085f34297d211fe4dcb4cdbf6db355e5ff99731b70df27766
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