Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 62.8 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: Upper body view, (masterpiece:1.2), (best quality), (8k), (looking at viewer:1.1), stunning, young man, (eye contact:1.1), handsome face, (detailed face:1.2), hyper detailed, best quality, ultra high res, black hair, futuristic cityscape, photorealistic, high resolution, detailed, raw photo, 1 boy, business suit, holding briefcase, hot, seductive
Full negative prompt: EasyNegative, nsfw, nipples, fat, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, ((monochrome)), ((grayscale)), bad anatomy, text, error, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, bad feet, poorly drawn face, bad proportions, gross proportions, ng_deepnegative_v1_75t, bad-hands-5, clothes
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Decoding latents in cuda:0...
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0: 640x640 1 face, 10.9ms
Speed: 3.3ms preprocess, 10.9ms inference, 33.7ms 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, 7.6ms
Speed: 2.9ms preprocess, 7.6ms 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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0: 640x640 1 face, 7.2ms
Speed: 2.8ms preprocess, 7.2ms 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 1 hand, 7.0ms
Speed: 2.7ms preprocess, 7.0ms 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 1 face, 10.5ms
Speed: 4.1ms preprocess, 10.5ms inference, 1.7ms 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, 7.1ms
Speed: 2.9ms 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 1 face, 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...
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0: 640x640 2 hands, 28.5ms
Speed: 3.9ms preprocess, 28.5ms inference, 2.3ms 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 62.8 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: Upper body view, (masterpiece:1.2), (best quality), (8k), (looking at viewer:1.1), stunning, young man, (eye contact:1.1), handsome face, (detailed face:1.2), hyper detailed, best quality, ultra high res, black hair, futuristic cityscape, photorealistic, high resolution, detailed, raw photo, 1 boy, business suit, holding briefcase, hot, seductive
Full negative prompt: EasyNegative, nsfw, nipples, fat, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, ((monochrome)), ((grayscale)), bad anatomy, text, error, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, bad feet, poorly drawn face, bad proportions, gross proportions, ng_deepnegative_v1_75t, bad-hands-5, clothes
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Decoding latents in cuda:0...
done in 0.94s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 10.9ms
Speed: 3.3ms preprocess, 10.9ms inference, 33.7ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.22s
Move latents to cpu...
done in 0.01s
0: 640x640 1 hand, 7.6ms
Speed: 2.9ms preprocess, 7.6ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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79%|███████▊ | 11/14 [00:02<00:00, 4.94it/s]
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Decoding latents in cuda:0...
done in 0.22s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.2ms
Speed: 2.8ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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57%|█████▋ | 8/14 [00:01<00:01, 4.69it/s]
64%|██████▍ | 9/14 [00:01<00:01, 4.81it/s]
71%|███████▏ | 10/14 [00:02<00:00, 4.89it/s]
79%|███████▊ | 11/14 [00:02<00:00, 4.89it/s]
86%|████████▌ | 12/14 [00:02<00:00, 4.54it/s]
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100%|██████████| 14/14 [00:02<00:00, 4.67it/s]
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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: 2.7ms preprocess, 7.0ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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43%|████▎ | 6/14 [00:01<00:01, 4.91it/s]
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64%|██████▍ | 9/14 [00:01<00:01, 4.68it/s]
71%|███████▏ | 10/14 [00:02<00:00, 4.77it/s]
79%|███████▊ | 11/14 [00:02<00:00, 4.87it/s]
86%|████████▌ | 12/14 [00:02<00:00, 4.96it/s]
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100%|██████████| 14/14 [00:02<00:00, 4.86it/s]
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Decoding latents in cuda:0...
done in 0.22s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 10.5ms
Speed: 4.1ms preprocess, 10.5ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/14 [00:00<?, ?it/s]
7%|▋ | 1/14 [00:00<00:02, 5.09it/s]
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21%|██▏ | 3/14 [00:00<00:02, 4.88it/s]
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64%|██████▍ | 9/14 [00:01<00:01, 4.64it/s]
71%|███████▏ | 10/14 [00:02<00:00, 4.58it/s]
79%|███████▊ | 11/14 [00:02<00:00, 4.52it/s]
86%|████████▌ | 12/14 [00:02<00:00, 4.68it/s]
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100%|██████████| 14/14 [00:02<00:00, 4.59it/s]
100%|██████████| 14/14 [00:02<00:00, 4.73it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.1ms
Speed: 2.9ms preprocess, 7.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/14 [00:00<?, ?it/s]
7%|▋ | 1/14 [00:00<00:02, 5.12it/s]
14%|█▍ | 2/14 [00:00<00:02, 5.10it/s]
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29%|██▊ | 4/14 [00:00<00:01, 5.14it/s]
36%|███▌ | 5/14 [00:00<00:01, 5.14it/s]
43%|████▎ | 6/14 [00:01<00:01, 4.89it/s]
50%|█████ | 7/14 [00:01<00:01, 4.97it/s]
57%|█████▋ | 8/14 [00:01<00:01, 5.00it/s]
64%|██████▍ | 9/14 [00:01<00:00, 5.02it/s]
71%|███████▏ | 10/14 [00:01<00:00, 4.98it/s]
79%|███████▊ | 11/14 [00:02<00:00, 4.90it/s]
86%|████████▌ | 12/14 [00:02<00:00, 4.94it/s]
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100%|██████████| 14/14 [00:02<00:00, 4.97it/s]
100%|██████████| 14/14 [00:02<00:00, 5.00it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.2ms
Speed: 2.7ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/14 [00:00<?, ?it/s]
7%|▋ | 1/14 [00:00<00:02, 5.19it/s]
14%|█▍ | 2/14 [00:00<00:02, 4.96it/s]
21%|██▏ | 3/14 [00:00<00:02, 5.05it/s]
29%|██▊ | 4/14 [00:00<00:01, 5.09it/s]
36%|███▌ | 5/14 [00:00<00:01, 5.12it/s]
43%|████▎ | 6/14 [00:01<00:01, 5.10it/s]
50%|█████ | 7/14 [00:01<00:01, 4.91it/s]
57%|█████▋ | 8/14 [00:01<00:01, 4.95it/s]
64%|██████▍ | 9/14 [00:01<00:01, 4.94it/s]
71%|███████▏ | 10/14 [00:01<00:00, 4.99it/s]
79%|███████▊ | 11/14 [00:02<00:00, 5.01it/s]
86%|████████▌ | 12/14 [00:02<00:00, 4.92it/s]
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100%|██████████| 14/14 [00:02<00:00, 5.02it/s]
100%|██████████| 14/14 [00:02<00:00, 5.00it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 28.5ms
Speed: 3.9ms preprocess, 28.5ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/14 [00:00<?, ?it/s]
7%|▋ | 1/14 [00:00<00:02, 4.81it/s]
14%|█▍ | 2/14 [00:00<00:02, 4.73it/s]
21%|██▏ | 3/14 [00:00<00:02, 4.80it/s]
29%|██▊ | 4/14 [00:00<00:02, 4.85it/s]
36%|███▌ | 5/14 [00:01<00:01, 4.84it/s]
43%|████▎ | 6/14 [00:01<00:01, 4.79it/s]
50%|█████ | 7/14 [00:01<00:01, 4.76it/s]
57%|█████▋ | 8/14 [00:01<00:01, 4.76it/s]
64%|██████▍ | 9/14 [00:01<00:01, 4.80it/s]
71%|███████▏ | 10/14 [00:02<00:00, 4.72it/s]
79%|███████▊ | 11/14 [00:02<00:00, 4.71it/s]
86%|████████▌ | 12/14 [00:02<00:00, 4.73it/s]
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100%|██████████| 14/14 [00:02<00:00, 4.80it/s]
100%|██████████| 14/14 [00:02<00:00, 4.78it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0%| | 0/14 [00:00<?, ?it/s]
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21%|██▏ | 3/14 [00:00<00:02, 4.76it/s]
29%|██▊ | 4/14 [00:00<00:02, 4.74it/s]
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50%|█████ | 7/14 [00:01<00:01, 4.81it/s]
57%|█████▋ | 8/14 [00:01<00:01, 4.77it/s]
64%|██████▍ | 9/14 [00:01<00:01, 4.74it/s]
71%|███████▏ | 10/14 [00:02<00:00, 4.68it/s]
79%|███████▊ | 11/14 [00:02<00:00, 4.72it/s]
86%|████████▌ | 12/14 [00:02<00:00, 4.75it/s]
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100%|██████████| 14/14 [00:02<00:00, 4.77it/s]
100%|██████████| 14/14 [00:02<00:00, 4.74it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.