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
kamihimeHardcore_v10 (nsfw)
#25
by anonderpling - opened
models/Stable-diffusion/nsfw/kamihimeHardcore_v10.civitai.info
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version https://git-lfs.github.com/spec/v1
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oid sha256:e251d25ee14687842a335e20fd55c4a1ce0745d706d2cda1bc04b5cd89dd8b87
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size 4559
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models/Stable-diffusion/nsfw/kamihimeHardcore_v10.preview.png
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Git LFS Details
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models/Stable-diffusion/nsfw/kamihimeHardcore_v10.safetensors
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oid sha256:c029006199133b05a0ed044034368540ff79715c9937fcf3349ff65fc966a420
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size 5570803596
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