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
Upload /models/Stable-diffusion/IripastelDiffusionSD1_channal.preview.png with huggingface_hub
f59fa42 Download models/Stable-diffusion/IripastelDiffusionSD1_channal.preview.png from mirroring/civitai_mirror: direct link, hf CLI and curl.
- Browser
- Download file 679 kB
-
https://huggingface.co/mirroring/civitai_mirror/resolve/4db26fe74f8c5317534cf7a8602f7f164ce1afba/models/Stable-diffusion/IripastelDiffusionSD1_channal.preview.png
- Command line
-
hf download hf://mirroring/civitai_mirror@4db26fe74f8c5317534cf7a8602f7f164ce1afba/models/Stable-diffusion/IripastelDiffusionSD1_channal.preview.png
-
curl -L -o IripastelDiffusionSD1_channal.preview.png https://huggingface.co/mirroring/civitai_mirror/resolve/4db26fe74f8c5317534cf7a8602f7f164ce1afba/models/Stable-diffusion/IripastelDiffusionSD1_channal.preview.png
679 kB

- Xet hash:
- 697896506412e2d7bccb90ed968d24d414fbdefae2ce87a4360316d154e38d5b
- Size of remote file:
- 679 kB
- SHA256:
- 822bf6aed958f087dcf560a9b8abe6f8d88675c109aa314740f0e80c20a4925f
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