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/plasticmodel_V1.preview.png from mirroring/civitai_mirror: direct link, hf CLI and curl.
- Browser
- Download file 604 kB
-
https://huggingface.co/mirroring/civitai_mirror/resolve/349b5d2e6ea77d732905e84c5a96e70e4e1d7d60/models/hypernetworks/plasticmodel_V1.preview.png
- Command line
-
hf download hf://mirroring/civitai_mirror@349b5d2e6ea77d732905e84c5a96e70e4e1d7d60/models/hypernetworks/plasticmodel_V1.preview.png
-
curl -L -o plasticmodel_V1.preview.png https://huggingface.co/mirroring/civitai_mirror/resolve/349b5d2e6ea77d732905e84c5a96e70e4e1d7d60/models/hypernetworks/plasticmodel_V1.preview.png
604 kB
