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/anyloraCheckpoint_-inpainting.safetensors with huggingface_hub
7cd82b7 - Xet hash:
- d8dc4d4ace3225a6c25bac3783b92d31bf5dfb2feec26008cb3091d882111776
- Size of remote file:
- 3.46 GB
- SHA256:
- 15bcda75da06508b6d942a05c0fc5557089a507a050aa6c2309485909efd6737
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