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/Place Textual Inversion embeddings here.txt from mirroring/civitai_mirror: direct link, hf CLI and curl.
- Browser
- Download file 0 Bytes
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https://huggingface.co/mirroring/civitai_mirror/resolve/f0fcadbc4f18edbbbfef813803827b702dcb8870/embeddings/Place%20Textual%20Inversion%20embeddings%20here.txt
- Command line
-
hf download 'hf://mirroring/civitai_mirror@f0fcadbc4f18edbbbfef813803827b702dcb8870/embeddings/Place Textual Inversion embeddings here.txt'
-
curl -L -o 'Place Textual Inversion embeddings here.txt' https://huggingface.co/mirroring/civitai_mirror/resolve/f0fcadbc4f18edbbbfef813803827b702dcb8870/embeddings/Place%20Textual%20Inversion%20embeddings%20here.txt
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