Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 306.3 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: lifelike professional photorealistic, best quality, old fat man, solo, upper body, CLGM, arcade, crane game, shop, glass, looking outside, stuffed toy, from side, plush toy, mechanical arms,
Full negative prompt: (more than 2 arms), ng_deepnegative_v1_75t, (worst quality), (low quality), (normal quality), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), watermark, (negative_hand-neg:0.6), (EasyNegativeV2:0.6), extra fingers, deformed hands, polydactyl:1.3
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Decoding latents in cuda:0...
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0: 640x640 3 faces, 9.0ms
Speed: 3.3ms preprocess, 9.0ms inference, 23.2ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 3 hands, 7.3ms
Speed: 3.1ms preprocess, 7.3ms inference, 1.8ms 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 face, 7.4ms
Speed: 3.0ms preprocess, 7.4ms inference, 1.8ms 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, 7.1ms
Speed: 3.7ms preprocess, 7.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.77s
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0: 640x640 2 faces, 7.4ms
Speed: 2.9ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
done in 0.77s
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done in 0.0s
0: 640x640 2 hands, 7.6ms
Speed: 3.3ms preprocess, 7.6ms 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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Decoding latents in cuda:0...
done in 0.78s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 306.3 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: lifelike professional photorealistic, best quality, old fat man, solo, upper body, CLGM, arcade, crane game, shop, glass, looking outside, stuffed toy, from side, plush toy, mechanical arms,
Full negative prompt: (more than 2 arms), ng_deepnegative_v1_75t, (worst quality), (low quality), (normal quality), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), watermark, (negative_hand-neg:0.6), (EasyNegativeV2:0.6), extra fingers, deformed hands, polydactyl:1.3
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Decoding latents in cuda:0...
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Move latents to cpu...
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0: 640x640 3 faces, 9.0ms
Speed: 3.3ms preprocess, 9.0ms inference, 23.2ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 3 hands, 7.3ms
Speed: 3.1ms preprocess, 7.3ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.4ms
Speed: 3.0ms preprocess, 7.4ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 hand, 7.1ms
Speed: 3.7ms preprocess, 7.1ms 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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0: 640x640 2 faces, 7.4ms
Speed: 2.9ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.77s
Move latents to cpu...
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Decoding latents in cuda:0...
done in 0.77s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.6ms
Speed: 3.3ms preprocess, 7.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 19/19 [00:15<00:00, 1.45it/s]
100%|██████████| 19/19 [00:15<00:00, 1.23it/s]
Decoding latents in cuda:0...
done in 0.77s
Move latents to cpu...
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Decoding latents in cuda:0...
done in 0.78s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.