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https://github.com/bing-su/sdsim

a similarity calculatior for stable diffusion checkpoints
https://github.com/bing-su/sdsim

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a similarity calculatior for stable diffusion checkpoints

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# sdsim

stable diffusion model similarity calculatior

original:

modified:

packaging: here

## Install

```sh
pip install sdsim
```

## Usage

```sh
sdsim animefull-latest.ckpt ACertainModel.safetensors
```

```sh
sdsim -nv -j result.json animefull-latest.ckpt ACertainModel.safetensors
```

```sh
❯ sdsim --help
usage: sdsim [-h] [-j JSON] [-s SEED] [-nv] base targets [targets ...]

positional arguments:
base
targets

optional arguments:
-h, --help show this help message and exit
-j JSON, --json JSON
-s SEED, --seed SEED
-nv, --no-verbose
```

```python
from sdsim import similarity

model1 = "animefull-latest.ckpt"
model2 = "ACertainModel.safetensors"
model3 = "AbyssOrangeMix2_nsfw.safetensors"
result = similarity(model1, [model2, model3], verbose=True)
```