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/lisaFrankStyleV1_lisafrankstyle4000s.ckpt with huggingface_hub
454f996 - Xet hash:
- 21f0eaf1eb437bbd1b7107465fbb4154041a628d07488e86b5ca75e78faae458
- Size of remote file:
- 2.13 GB
- SHA256:
- 499c8fe1742f8b607b80eb5ef7e1a4917f53d7115feef1db37d8daf6f0bb5698
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.