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/comiNoirClassicV2_comiNoirClassicV2.preview.png with huggingface_hub
1a55d42 
- Xet hash:
- c3e14bee3e489877173035e598d7963810b4d845826c0ad3ec96da5001ce2a2f
- Size of remote file:
- 406 kB
- SHA256:
- 726d26e3570cbaf6eb7bec108ea8b1f4c560b0afb189ef4016918aa87b9c1012
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