Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 164.6 seconds
Setting up the model...
Processing...
Full prompt: best quality, detailed background, girl, euro_street, random_wear, cap, <lora:hair_over_eyes:1>, <lora:FaceBeauty_qinglong_V3:1.5>,
Full negative prompt: (low quality, worst quality), (bad anatomy:1.4), (low quality, worst quality), (bad anatomy:1.4), realisticvision-negative-embedding, child, underage, child, underage, nipples, nsfw, BadNegAnatomyV1-neg, more than 2 legs, more than 2 feet, more than 2 shoes, more than 2 sneakers
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Decoding latents in cuda:0...
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Move latents to cpu...
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0: 640x640 1 face, 7.6ms
Speed: 3.2ms preprocess, 7.6ms inference, 24.9ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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Move latents to cpu...
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0: 640x640 (no detections), 7.1ms
Speed: 2.8ms preprocess, 7.1ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x640 1 face, 7.3ms
Speed: 2.6ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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Move latents to cpu...
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0: 640x640 1 hand, 7.0ms
Speed: 2.8ms preprocess, 7.0ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.5ms
Speed: 2.9ms preprocess, 7.5ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.3ms
Speed: 3.0ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.6ms
Speed: 2.8ms preprocess, 7.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.2ms
Speed: 2.7ms preprocess, 7.2ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
Finished.
This example was created by evevalentine2017
Finished in 164.6 seconds
Setting up the model...
Processing...
Full prompt: best quality, detailed background, girl, euro_street, random_wear, cap, <lora:hair_over_eyes:1>, <lora:FaceBeauty_qinglong_V3:1.5>,
Full negative prompt: (low quality, worst quality), (bad anatomy:1.4), (low quality, worst quality), (bad anatomy:1.4), realisticvision-negative-embedding, child, underage, child, underage, nipples, nsfw, BadNegAnatomyV1-neg, more than 2 legs, more than 2 feet, more than 2 shoes, more than 2 sneakers
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Decoding latents in cuda:0...
done in 0.95s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.6ms
Speed: 3.2ms preprocess, 7.6ms inference, 24.9ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.1ms
Speed: 2.8ms preprocess, 7.1ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
0: 640x640 1 face, 7.3ms
Speed: 2.6ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.0ms
Speed: 2.8ms preprocess, 7.0ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.5ms
Speed: 2.9ms preprocess, 7.5ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.3ms
Speed: 3.0ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.6ms
Speed: 2.8ms preprocess, 7.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.2ms
Speed: 2.7ms preprocess, 7.2ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
Finished.