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/comiNoirClassicV2_comiNoirClassicV2.safetensors with huggingface_hub
70bbed8 - Xet hash:
- 16fdea08cebaafdb00e2b452e3b9f145eea9c7df4be1feb0c188941c6b285576
- Size of remote file:
- 2.13 GB
- SHA256:
- faab5c8865795ea31cfb6aacaf9907f519065cf29315caa6fbb90250f1ec7089
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