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/nsfw/Degenerate_degenFP32V1.civitai.info with huggingface_hub
281ecce - Xet hash:
- 185dd25095c391b3680eb8688b7f64a5df30a6aec8bee0255e20fce22836453e
- Size of remote file:
- 8.91 kB
- SHA256:
- fe30530e51f067e3fc9310122acdbed23ff3506c3b237d08e238404a19823a84
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