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
- 8.91 kB xet
- 1.44 MB xet
- 2.3 GB xet
- 3.94 kB xet
- 1.49 MB xet
- 2.3 GB xet
- 6.48 GB xet
- 4.27 GB xet
- 69.8 kB
- 53.6 kB xet
- 4.27 GB xet
- 13.2 kB
- 3.07 MB xet
- 2.13 GB xet
- 40.4 kB
- 4.41 GB xet
- 101 kB xet
- 12 kB
- 2.13 GB xet
- 53.6 kB
- 39.7 kB xet
- 2.13 GB xet
- 19.4 kB
- 50.8 kB xet
- 2.13 GB xet
- 55.5 kB
- 48.7 kB xet
- 2.3 GB xet
- 161 kB
- 9.4 MB xet
- 4.27 GB xet
- 30.4 kB
- 491 kB xet
- 2.38 GB xet