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_bakedvaeFtmseFp16NOT.safetensors with huggingface_hub
9c9a734 - Xet hash:
- 108b94e94a0358f0e9e16bd3264dcc82a58d0e65c41472e3de4cc484dc6d4bae
- Size of remote file:
- 3.46 GB
- SHA256:
- 8a952cafe958f5033a3b436804e2268281c13b5f72aa2d98cd8c599cace809ed
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