mirror of https://github.com/InstantID/InstantID
fix readme
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@ -100,15 +100,13 @@ For face encoder, you need to manually download via this [URL](https://github.co
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## Usage
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If you want to reproduce results in the paper, please refer to the code in [infer_full.py](infer_full.py).
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If you want to compare the results with other methods, even without using depth-controlnet, it is recommended that you use this code.
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If you want to reproduce results in the paper, please refer to the code in [infer_full.py](infer_full.py). If you want to compare the results with other methods, even without using depth-controlnet, it is recommended that you use this code.
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If you are pursuing better results, it is recommended to follow [InstantID-Rome](https://github.com/instantX-research/InstantID-Rome).
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If you want to quickly experience InstantID, please refer to the code in [infer.py](infer.py).
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The following code👇 comes from [infer.py](infer.py). If you want to quickly experience InstantID, please refer to the code in [infer.py](infer.py).
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The following code👇 comes from [infer.py](infer.py).
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```python
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# !pip install opencv-python transformers accelerate insightface
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