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/VAE-approx/model.pt from mirroring/civitai_mirror: direct link, hf CLI and curl.
- Browser
- Download file 214 kB
-
https://huggingface.co/mirroring/civitai_mirror/resolve/4db26fe74f8c5317534cf7a8602f7f164ce1afba/models/VAE-approx/model.pt
- Command line
-
hf download hf://mirroring/civitai_mirror@4db26fe74f8c5317534cf7a8602f7f164ce1afba/models/VAE-approx/model.pt
-
curl -L -o model.pt https://huggingface.co/mirroring/civitai_mirror/resolve/4db26fe74f8c5317534cf7a8602f7f164ce1afba/models/VAE-approx/model.pt
214 kB
- Xet hash:
- f0d287e9abfb69a19f56382820dc83b9f36a49f97e48db26fbcdd33bad8e44c9
- Size of remote file:
- 214 kB
- SHA256:
- 4f88c9078bb2238cdd0d8864671dd33e3f42e091e41f08903f3c15e4a54a9b39
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