1662 lines
34 KiB
JSON
1662 lines
34 KiB
JSON
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"Original code and this node uses insightface only to crop the image, you can use other crop automatic face croppers or manually crop the face for the ip_image as well. The image is tiny 112x112\n\nWhile InsightFace code is MIT licensed, the Buffalo -model used has strictly \"non-commercial research purposes only\" -license\n\nFor the actual encoding Arcface model is used, I couldn't find clear answer to what it's license is.\n\nFor the reference the original code uses different slightly more zoomed out cropping for 256x256 input image, you can do this manually as well."
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"lite lynx model only includes ip adapter for face id.\n\nfull lynx model also includes reference adapter, which works by first running your reference image through the model for 1 step, and the main inference then uses those extracted values on each step.\n\nThe reference adapter feels extremely strong and usually reducing it's strength or limiting the blocks it is applied to helps avoid that"
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