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
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| "updatedAt": "2023-04-01T07:55:51.271Z", | |
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| "description": "<p>blindbox v2</p><ul><li><p>Reduces the probability of a big head (maybe)</p></li><li><p>Lowered network_dim value, smaller file size</p></li><li><p>More Chibi, Less blindbox</p><p></p></li></ul><p>v1 version has good blindbox artstyle</p>", | |
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| "files": [ | |
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