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/hassakuHentaiModel_hassakuv1.preview.png with huggingface_hub
7fa69fa 
- Xet hash:
- 7711b3bc8a0282dfb770b2c45ce3fe5d16d1692dd4f9eeaa214514a58a71b327
- Size of remote file:
- 49.5 kB
- SHA256:
- 951d348a62cff0cd78ec3a72254f7ac5e5c702ede39147ddc71e34deab8897e2
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