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/karlo/ViT-L-14_stats.th from mirroring/civitai_mirror: direct link, hf CLI and curl.
- Browser
- Download file 7.08 kB
-
https://huggingface.co/mirroring/civitai_mirror/resolve/f7ee68ef8f3d69cac6d98c0d30fd931bf9b7a47e/models/karlo/ViT-L-14_stats.th
- Command line
-
hf download hf://mirroring/civitai_mirror@f7ee68ef8f3d69cac6d98c0d30fd931bf9b7a47e/models/karlo/ViT-L-14_stats.th
-
curl -L -o ViT-L-14_stats.th https://huggingface.co/mirroring/civitai_mirror/resolve/f7ee68ef8f3d69cac6d98c0d30fd931bf9b7a47e/models/karlo/ViT-L-14_stats.th
7.08 kB
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