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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| "createdAt": "2023-03-29T19:49:52.349Z", | |
| "updatedAt": "2023-03-29T19:49:52.349Z", | |
| "trainedWords": [], | |
| "baseModel": "SD 1.5", | |
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| "description": "<p>It has been merged to allow for a greater variety of expressions and colors than previous models.</p><p></p>", | |
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