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/lisaFrankStyleV1_lisafrankstyle4000s.preview.png with huggingface_hub
c07da20 
- Xet hash:
- bbaa63b6cd4fa24591bfc6349393a776c53070e1793e5eb110552e53179b2fb4
- Size of remote file:
- 107 kB
- SHA256:
- 2cccbb224fa29bee6d2bcf11d2e2aba16a339ff51dda46f64e5db54ef08aa5bf
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