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/GTA768.preview.png from mirroring/civitai_mirror: direct link, hf CLI and curl.
- Browser
- Download file 1.06 MB
-
https://huggingface.co/mirroring/civitai_mirror/resolve/87dca95bdb439ffdda71d7430e6acb04168ef14b/embeddings/GTA768.preview.png
- Command line
-
hf download hf://mirroring/civitai_mirror@87dca95bdb439ffdda71d7430e6acb04168ef14b/embeddings/GTA768.preview.png
-
curl -L -o GTA768.preview.png https://huggingface.co/mirroring/civitai_mirror/resolve/87dca95bdb439ffdda71d7430e6acb04168ef14b/embeddings/GTA768.preview.png
1.06 MB

- Xet hash:
- c05fe47a8d1a1186b53bd0ae55a7dc6ca3972e3450acff956c94bf4e22a2c9f9
- Size of remote file:
- 1.06 MB
- SHA256:
- 1a70b9ff1766693ea77b07663677a9796ff5e8f8972f57dfaeb4d1e89ff7d81b
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