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/Lavastyle.pt from mirroring/civitai_mirror: direct link, hf CLI and curl.
- Browser
- Download file 41.9 kB
-
https://huggingface.co/mirroring/civitai_mirror/resolve/3c2e805b94038b9ac5fe5fc318a4ac5f6a8847c9/embeddings/Lavastyle.pt
- Command line
-
hf download hf://mirroring/civitai_mirror@3c2e805b94038b9ac5fe5fc318a4ac5f6a8847c9/embeddings/Lavastyle.pt
-
curl -L -o Lavastyle.pt https://huggingface.co/mirroring/civitai_mirror/resolve/3c2e805b94038b9ac5fe5fc318a4ac5f6a8847c9/embeddings/Lavastyle.pt
41.9 kB
- Xet hash:
- c93c06833bd6f3a6613f512235871f334ddc01d7630bf0408416f6b7ba894f88
- Size of remote file:
- 41.9 kB
- SHA256:
- 48b857436b32a179d1baabcc27cf18ce2ce77d29be7cdef9bc5b91e6bb664acf
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