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
Ctrl+K
- 32.7 kB
- 719 kB
- 21.4 kB xet
- 57.8 kB
- 903 kB
- 21.4 kB xet
- 41.6 kB
- 965 kB
- 31.6 kB xet
- 3.82 kB xet
- 61.2 kB
- 242 kB
- 3.82 kB xet
- 5.18 kB
- 58.1 kB
- 63.7 kB
- 1.11 MB xet
- 54.1 kB xet
- 62.2 kB
- 611 kB
- 62.4 kB xet
- 31.8 kB
- 941 kB
- 25.5 kB xet
- 44 kB
- 7.08 kB xet
- 70.5 kB
- 848 kB
- 33.7 kB xet
- 42.5 kB
- 961 kB
- 78.7 kB xet
- 22.2 kB
- 59.3 kB
- 10.2 kB xet
- 62.3 kB
- 65.9 kB
- 31.8 kB xet
- 5.32 kB
- 330 kB
- 4.31 kB xet
- 3.82 kB xet
- 63.3 kB
- 57.3 kB
- 25.2 kB
- 574 kB
- 31.6 kB xet
- 31.2 kB
- 573 kB
- 31.7 kB xet