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
- Xet hash:
- f4bf3a2c298909416d261250645c3b24b3b7035fbedc85daa539a7b8c4f9ef04
- Size of remote file:
- 2.13 GB
- SHA256:
- 5e9fb6df8d4a2e3083c44c897d32f200e6785b5f51dcc6e149980a9835bb0f6f
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