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 models/hypernetworks/LuisapGlitchpixelart_v1.pt from mirroring/civitai_mirror: direct link, hf CLI and curl.
- Browser
- Download file 4.64 MB
-
https://huggingface.co/mirroring/civitai_mirror/resolve/3c2e805b94038b9ac5fe5fc318a4ac5f6a8847c9/models/hypernetworks/LuisapGlitchpixelart_v1.pt
- Command line
-
hf download hf://mirroring/civitai_mirror@3c2e805b94038b9ac5fe5fc318a4ac5f6a8847c9/models/hypernetworks/LuisapGlitchpixelart_v1.pt
-
curl -L -o LuisapGlitchpixelart_v1.pt https://huggingface.co/mirroring/civitai_mirror/resolve/3c2e805b94038b9ac5fe5fc318a4ac5f6a8847c9/models/hypernetworks/LuisapGlitchpixelart_v1.pt
4.64 MB
- Xet hash:
- 60d26ed63504d106352707a1ac8e73cb3b0439af582abbb8732725f78d3a5c80
- Size of remote file:
- 4.64 MB
- SHA256:
- 0c9f718d12c7477e88b11926cbc916d4f46193a4e5a5f7736a2493e94ecdb585
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