Version: v8.0
Input
Output
This example was created by evevalentine2017
Finished in 146.7 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: photo RAW, (Santa Claus sits in a beer bar), masterpiece, award winning photography, natural light, perfect composition, high detail, hyper realistic, <lora:add_saturation:-0.95>
Full negative prompt: more than 2 legs, nipples, nsfw, frame, canvas, low quality, medium quality, easynegative, watermark, text, username, 3d, frame, ng_deepnegative_v1_75t, bad-hands-5, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale))
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.8ms
Speed: 19.4ms preprocess, 7.8ms inference, 23.7ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 hand, 6.9ms
Speed: 2.7ms preprocess, 6.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 faces, 7.1ms
Speed: 2.7ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 4 hands, 11.0ms
Speed: 3.0ms preprocess, 11.0ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.6ms
Speed: 2.6ms preprocess, 7.6ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 7.0ms
Speed: 2.6ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 faces, 7.2ms
Speed: 2.7ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 6.9ms
Speed: 2.8ms preprocess, 6.9ms inference, 1.3ms 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
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 146.7 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: photo RAW, (Santa Claus sits in a beer bar), masterpiece, award winning photography, natural light, perfect composition, high detail, hyper realistic, <lora:add_saturation:-0.95>
Full negative prompt: more than 2 legs, nipples, nsfw, frame, canvas, low quality, medium quality, easynegative, watermark, text, username, 3d, frame, ng_deepnegative_v1_75t, bad-hands-5, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale))
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Decoding latents in cuda:0...
done in 1.0s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.8ms
Speed: 19.4ms preprocess, 7.8ms inference, 23.7ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 1 hand, 6.9ms
Speed: 2.7ms preprocess, 6.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 2 faces, 7.1ms
Speed: 2.7ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 4 hands, 11.0ms
Speed: 3.0ms preprocess, 11.0ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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done in 0.0s
0: 640x640 1 face, 7.6ms
Speed: 2.6ms preprocess, 7.6ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.0ms
Speed: 2.6ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 faces, 7.2ms
Speed: 2.7ms preprocess, 7.2ms inference, 1.4ms 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 2 hands, 6.9ms
Speed: 2.8ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.