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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| "sampler": "Euler a", | |
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| "Eta": "0.68", | |
| "ENSD": "313337", | |
| "Size": "512x512", | |
| "seed": 4196303189, | |
| "steps": 28, | |
| "prompt": "a closeup of a blonde girl with cat costume,cafeteria, cyberpunk", | |
| "sampler": "Euler a", | |
| "Hypernet": "album", | |
| "cfgScale": 10, | |
| "Clip skip": "2", | |
| "Model hash": "fb3e1ab1", | |
| "Hypernet hash": "6e02210d", | |
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| "downloadUrl": "https://civitai.com/api/download/models/4708" | |
| } |