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/0xaisticker.pt from mirroring/civitai_mirror: direct link, hf CLI and curl.
- Browser
- Download file 21.4 kB
-
https://huggingface.co/mirroring/civitai_mirror/resolve/3c2e805b94038b9ac5fe5fc318a4ac5f6a8847c9/embeddings/0xaisticker.pt
- Command line
-
hf download hf://mirroring/civitai_mirror@3c2e805b94038b9ac5fe5fc318a4ac5f6a8847c9/embeddings/0xaisticker.pt
-
curl -L -o 0xaisticker.pt https://huggingface.co/mirroring/civitai_mirror/resolve/3c2e805b94038b9ac5fe5fc318a4ac5f6a8847c9/embeddings/0xaisticker.pt
21.4 kB
- Xet hash:
- 7860aea91a8669b42d9ef1d5bd87526317f2de523f10bb86fd5afd659e5c2776
- Size of remote file:
- 21.4 kB
- SHA256:
- 32886f2c8a55b1f1c99e8caf6d80ac971eb9e51ce715f22a568c878a076dd1c1
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