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 models/Lora/LoconLoraNardack_v10.preview.png from mirroring/civitai_mirror: direct link, hf CLI and curl.
- Browser
- Download file 2.83 MB
-
https://huggingface.co/mirroring/civitai_mirror/resolve/e398e138e0fe56337428fb0ddaae7b262827d7eb/models/Lora/LoconLoraNardack_v10.preview.png
- Command line
-
hf download hf://mirroring/civitai_mirror@e398e138e0fe56337428fb0ddaae7b262827d7eb/models/Lora/LoconLoraNardack_v10.preview.png
-
curl -L -o LoconLoraNardack_v10.preview.png https://huggingface.co/mirroring/civitai_mirror/resolve/e398e138e0fe56337428fb0ddaae7b262827d7eb/models/Lora/LoconLoraNardack_v10.preview.png
2.83 MB

- Xet hash:
- f82776da77fe3915732c1699ed452c7a36ae5239057002587b44f6926330d51c
- Size of remote file:
- 2.83 MB
- SHA256:
- deaca5e96cef580a039ca4167d787848abe4b29830ab4750ff21a9867cc729eb
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