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/anythingAndEverything_anythingAndEverything.safetensors with huggingface_hub
fba58f9 - Xet hash:
- 20d686723e5a62b82017cae44440bd926da063a370e362092b615283cdeea154
- Size of remote file:
- 2.13 GB
- SHA256:
- 00841c96286dd8a3c6c219d0cb350fa647c75b28682d4c227e9e002bbdb74c76
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