Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 62.1 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: Upper body view, (masterpiece:1.5), (best quality), (8k), (looking at viewer:1.1), striking, young woman, hot, gorgeous, seductive, (eye contact:1.1), alluring face, (detailed face:1.2), hyper detailed, best quality, ultra high res, blonde hair, ancient ruins, photorealistic, high resolution, detailed, raw photo, 1 boy, explorer outfit, holding treasure map
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, 7.9ms
Speed: 3.5ms preprocess, 7.9ms inference, 31.5ms 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 hands, 7.4ms
Speed: 3.0ms preprocess, 7.4ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.4ms
Speed: 2.6ms preprocess, 7.4ms 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 hand, 7.1ms
Speed: 3.0ms 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 1 face, 8.8ms
Speed: 2.8ms preprocess, 8.8ms 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: 2.8ms 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 1 face, 7.5ms
Speed: 2.7ms preprocess, 7.5ms 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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done in 0.0s
0: 640x640 1 hand, 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...
done in 0.24s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 62.1 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: Upper body view, (masterpiece:1.5), (best quality), (8k), (looking at viewer:1.1), striking, young woman, hot, gorgeous, seductive, (eye contact:1.1), alluring face, (detailed face:1.2), hyper detailed, best quality, ultra high res, blonde hair, ancient ruins, photorealistic, high resolution, detailed, raw photo, 1 boy, explorer outfit, holding treasure map
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 0.98s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.9ms
Speed: 3.5ms preprocess, 7.9ms inference, 31.5ms 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 0.01s
0: 640x640 2 hands, 7.4ms
Speed: 3.0ms preprocess, 7.4ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640)
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79%|███████▊ | 11/14 [00:02<00:00, 4.83it/s]
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100%|██████████| 14/14 [00:02<00:00, 4.85it/s]
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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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29%|██▊ | 4/14 [00:00<00:02, 4.86it/s]
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43%|████▎ | 6/14 [00:01<00:01, 4.75it/s]
50%|█████ | 7/14 [00:01<00:01, 4.81it/s]
57%|█████▋ | 8/14 [00:01<00:01, 4.78it/s]
64%|██████▍ | 9/14 [00:01<00:01, 4.83it/s]
71%|███████▏ | 10/14 [00:02<00:00, 4.76it/s]
79%|███████▊ | 11/14 [00:02<00:00, 4.79it/s]
86%|████████▌ | 12/14 [00:02<00:00, 4.83it/s]
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100%|██████████| 14/14 [00:02<00:00, 4.82it/s]
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Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.4ms
Speed: 2.6ms preprocess, 7.4ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/14 [00:00<?, ?it/s]
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21%|██▏ | 3/14 [00:00<00:02, 4.78it/s]
29%|██▊ | 4/14 [00:00<00:02, 4.74it/s]
36%|███▌ | 5/14 [00:01<00:01, 4.85it/s]
43%|████▎ | 6/14 [00:01<00:01, 4.86it/s]
50%|█████ | 7/14 [00:01<00:01, 4.92it/s]
57%|█████▋ | 8/14 [00:01<00:01, 4.97it/s]
64%|██████▍ | 9/14 [00:01<00:00, 5.01it/s]
71%|███████▏ | 10/14 [00:02<00:00, 5.02it/s]
79%|███████▊ | 11/14 [00:02<00:00, 5.02it/s]
86%|████████▌ | 12/14 [00:02<00:00, 5.05it/s]
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100%|██████████| 14/14 [00:02<00:00, 5.07it/s]
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.1ms
Speed: 3.0ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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7%|▋ | 1/14 [00:00<00:02, 5.10it/s]
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29%|██▊ | 4/14 [00:00<00:02, 4.89it/s]
36%|███▌ | 5/14 [00:01<00:01, 4.92it/s]
43%|████▎ | 6/14 [00:01<00:01, 4.94it/s]
50%|█████ | 7/14 [00:01<00:01, 4.79it/s]
57%|█████▋ | 8/14 [00:01<00:01, 4.83it/s]
64%|██████▍ | 9/14 [00:01<00:01, 4.92it/s]
71%|███████▏ | 10/14 [00:02<00:00, 4.95it/s]
79%|███████▊ | 11/14 [00:02<00:00, 4.98it/s]
86%|████████▌ | 12/14 [00:02<00:00, 5.00it/s]
93%|█████████▎| 13/14 [00:02<00:00, 4.99it/s]
100%|██████████| 14/14 [00:02<00:00, 5.02it/s]
100%|██████████| 14/14 [00:02<00:00, 4.95it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 8.8ms
Speed: 2.8ms preprocess, 8.8ms 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, 5.04it/s]
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21%|██▏ | 3/14 [00:00<00:02, 5.07it/s]
29%|██▊ | 4/14 [00:00<00:02, 4.67it/s]
36%|███▌ | 5/14 [00:01<00:01, 4.68it/s]
43%|████▎ | 6/14 [00:01<00:01, 4.79it/s]
50%|█████ | 7/14 [00:01<00:01, 4.84it/s]
57%|█████▋ | 8/14 [00:01<00:01, 4.81it/s]
64%|██████▍ | 9/14 [00:01<00:01, 4.81it/s]
71%|███████▏ | 10/14 [00:02<00:00, 4.74it/s]
79%|███████▊ | 11/14 [00:02<00:00, 4.82it/s]
86%|████████▌ | 12/14 [00:02<00:00, 4.84it/s]
93%|█████████▎| 13/14 [00:02<00:00, 4.88it/s]
100%|██████████| 14/14 [00:02<00:00, 4.79it/s]
100%|██████████| 14/14 [00:02<00:00, 4.82it/s]
Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.1ms
Speed: 2.8ms preprocess, 7.1ms 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, 5.13it/s]
14%|█▍ | 2/14 [00:00<00:02, 5.07it/s]
21%|██▏ | 3/14 [00:00<00:02, 5.06it/s]
29%|██▊ | 4/14 [00:00<00:01, 5.07it/s]
36%|███▌ | 5/14 [00:00<00:01, 4.96it/s]
43%|████▎ | 6/14 [00:01<00:01, 4.94it/s]
50%|█████ | 7/14 [00:01<00:01, 4.99it/s]
57%|█████▋ | 8/14 [00:01<00:01, 4.99it/s]
64%|██████▍ | 9/14 [00:01<00:00, 5.02it/s]
71%|███████▏ | 10/14 [00:02<00:00, 4.96it/s]
79%|███████▊ | 11/14 [00:02<00:00, 4.99it/s]
86%|████████▌ | 12/14 [00:02<00:00, 4.98it/s]
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100%|██████████| 14/14 [00:02<00:00, 5.03it/s]
100%|██████████| 14/14 [00:02<00:00, 5.00it/s]
Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.5ms
Speed: 2.7ms preprocess, 7.5ms 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, 4.69it/s]
14%|█▍ | 2/14 [00:00<00:02, 4.83it/s]
21%|██▏ | 3/14 [00:00<00:02, 4.56it/s]
29%|██▊ | 4/14 [00:00<00:02, 4.70it/s]
36%|███▌ | 5/14 [00:01<00:01, 4.81it/s]
43%|████▎ | 6/14 [00:01<00:01, 4.76it/s]
50%|█████ | 7/14 [00:01<00:01, 4.82it/s]
57%|█████▋ | 8/14 [00:01<00:01, 4.85it/s]
64%|██████▍ | 9/14 [00:01<00:01, 4.90it/s]
71%|███████▏ | 10/14 [00:02<00:00, 4.93it/s]
79%|███████▊ | 11/14 [00:02<00:00, 4.88it/s]
86%|████████▌ | 12/14 [00:02<00:00, 4.88it/s]
93%|█████████▎| 13/14 [00:02<00:00, 4.93it/s]
100%|██████████| 14/14 [00:02<00:00, 4.99it/s]
100%|██████████| 14/14 [00:02<00:00, 4.86it/s]
Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.1ms
Speed: 2.7ms preprocess, 7.1ms 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, 5.11it/s]
14%|█▍ | 2/14 [00:00<00:02, 5.07it/s]
21%|██▏ | 3/14 [00:00<00:02, 4.84it/s]
29%|██▊ | 4/14 [00:00<00:02, 4.93it/s]
36%|███▌ | 5/14 [00:01<00:01, 4.95it/s]
43%|████▎ | 6/14 [00:01<00:01, 4.97it/s]
50%|█████ | 7/14 [00:01<00:01, 5.01it/s]
57%|█████▋ | 8/14 [00:01<00:01, 4.99it/s]
64%|██████▍ | 9/14 [00:01<00:00, 5.03it/s]
71%|███████▏ | 10/14 [00:02<00:00, 4.98it/s]
79%|███████▊ | 11/14 [00:02<00:00, 5.02it/s]
86%|████████▌ | 12/14 [00:02<00:00, 5.05it/s]
93%|█████████▎| 13/14 [00:02<00:00, 4.91it/s]
100%|██████████| 14/14 [00:02<00:00, 4.95it/s]
100%|██████████| 14/14 [00:02<00:00, 4.98it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.