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
civitai_mirror / models /Stable-diffusion /huggingface /Xynon /SD-Silicon /Silicon28-negzero.safetensors
Upload models/Stable-diffusion/huggingface/Xynon/SD-Silicon/Silicon28-negzero.safetensors with huggingface_hub
7a1ecd9 - Xet hash:
- e6a94c4df36c2c0b69da411724f2211a2f1831e80fb33026cbfd45bfdae4bbaa
- Size of remote file:
- 2.13 GB
- SHA256:
- ca76b0ef807b724fd97b5b007f4d47b7883d42aa61e87a2c30d4a1a6527024ad
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