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/darkSushiMixMix_brighterPruned.safetensors with huggingface_hub
d930a1f - Xet hash:
- 99c913aa7d30d82b833bd473fdd3abe13e5c8cacec8f845cb5bd684818b679c9
- Size of remote file:
- 2.13 GB
- SHA256:
- 099e07547a45dc501a96a7b613e5bfe502be9477199172ca29821882dd8350a1
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