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 temp/embeddings/80s-anime-ai.bin from mirroring/civitai_mirror: direct link, hf CLI and curl.
- Browser
- Download file 3.82 kB
-
https://huggingface.co/mirroring/civitai_mirror/resolve/70096e34f69f5e7d1de91e33e11bdf866847433d/temp/embeddings/80s-anime-ai.bin
- Command line
-
hf download hf://mirroring/civitai_mirror@70096e34f69f5e7d1de91e33e11bdf866847433d/temp/embeddings/80s-anime-ai.bin
-
curl -L -o 80s-anime-ai.bin https://huggingface.co/mirroring/civitai_mirror/resolve/70096e34f69f5e7d1de91e33e11bdf866847433d/temp/embeddings/80s-anime-ai.bin
3.82 kB
- Xet hash:
- e66c19accad53ef5a230b34eda526a03acb8f166ca820310d05252f02a136384
- Size of remote file:
- 3.82 kB
- SHA256:
- b1eaa9a0cdfa15a3cb9f6e426e05fc5ec692dcc2ab24404e3d068fb0374e7c7f
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