jadechip comments

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                                            jadechip

What’s the weight license?

Also curious about this, it says V2 relies on [InsightFace](https://github.com/deepinsight/insightface), so it also needs to comply with its [license](https://github.com/deepinsight/insightface?tab=readme-ov-file#license). However it might only be used for detection as Photomaker uses...

What’s the weight license?

Ahh I see, since the insightface code uses one of their pre-retrained detection models I believe it is indeed non viable for commercial purposes. Any recommendations for an alternative detection...

What’s the weight license?

Oh I misread, I see photomaker v2 uses both recognition and detection models from insightface.

'CLIPTextTransformer' object has no attribute '_build_causal_attention_mask'

> pip install --upgrade transformers==4.25.1 This worked for me as well.

Using without models from insightface?

Also curious if you are planning on releasing the training code? Thank you.

Using without models from insightface?

@foivospar could you kindly elaborate a bit on how insightface is being used, and if it's non-commercial license applies to arcface? From my understanding of the antelope package, ``` scrfd_10g_bnkps.onnx...

Using without models from insightface?

Thank you @foivospar. I am looking into training a non-commercial version of the insightface models, including scrfd_10g_bnkps.onnx. Will report back if I make any progress.