Version: v2.0
Input
Output
This example was created by evevalentine2017
Finished in 87.9 seconds
Setting up the model...
Processing...
Full prompt: (super fine illustration: 1.2), (masterpiece, 8k), (best quality, high quality: 1.4), perfect anatomy, hyper detailed, ultra detailed, perfect design, (hand in pocket, The girl is holding a very large bouquet of flowers, Lots of fireworks, spoken big heart: 1.2), (17 years old, slender, small breasts, long sleeves, black hair, long hair, Witch's black hat, long Witch's black costume, red scarf: 1.2), (light smile, grin, black eyes, wizard's black costume, Witch's black cloak, long cloak, wizard's black robe, long robe, obi, long scarf, black cargo pants, long pants, boots, slender girl), (celebrating, Lots of confetti, lots of confetti, large bouquet of flowers), (Starry sky, full moon, Night cities and castles in the fantasy world of medieval Europe).
Full negative prompt: (worst quality, low quality:1.4), monochrome, zombie, (interlocked fingers:1.2), bad-hands-5
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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, 8.0ms
Speed: 3.4ms preprocess, 8.0ms inference, 32.8ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 2 hands, 7.0ms
Speed: 2.8ms preprocess, 7.0ms inference, 1.9ms 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, 1.5ms 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 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 2 faces, 7.2ms
Speed: 2.6ms preprocess, 7.2ms 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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Move latents to cpu...
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0: 640x640 2 hands, 6.9ms
Speed: 2.6ms preprocess, 6.9ms 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 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...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.2ms
Speed: 2.6ms preprocess, 7.2ms inference, 1.5ms 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 0.0s
Finished.
This example was created by evevalentine2017
Finished in 87.9 seconds
Setting up the model...
Processing...
Full prompt: (super fine illustration: 1.2), (masterpiece, 8k), (best quality, high quality: 1.4), perfect anatomy, hyper detailed, ultra detailed, perfect design, (hand in pocket, The girl is holding a very large bouquet of flowers, Lots of fireworks, spoken big heart: 1.2), (17 years old, slender, small breasts, long sleeves, black hair, long hair, Witch's black hat, long Witch's black costume, red scarf: 1.2), (light smile, grin, black eyes, wizard's black costume, Witch's black cloak, long cloak, wizard's black robe, long robe, obi, long scarf, black cargo pants, long pants, boots, slender girl), (celebrating, Lots of confetti, lots of confetti, large bouquet of flowers), (Starry sky, full moon, Night cities and castles in the fantasy world of medieval Europe).
Full negative prompt: (worst quality, low quality:1.4), monochrome, zombie, (interlocked fingers:1.2), bad-hands-5
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Decoding latents in cuda:0...
done in 0.97s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 8.0ms
Speed: 3.4ms preprocess, 8.0ms inference, 32.8ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 2 hands, 7.0ms
Speed: 2.8ms preprocess, 7.0ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.2ms
Speed: 2.7ms preprocess, 7.2ms 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 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...
done in 0.24s
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done in 0.0s
0: 640x640 2 faces, 7.2ms
Speed: 2.6ms preprocess, 7.2ms 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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done in 0.0s
0: 640x640 2 hands, 6.9ms
Speed: 2.6ms preprocess, 6.9ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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16%|█▌ | 3/19 [00:00<00:03, 4.79it/s]
21%|██ | 4/19 [00:00<00:03, 4.78it/s]
26%|██▋ | 5/19 [00:01<00:02, 4.85it/s]
32%|███▏ | 6/19 [00:01<00:02, 4.89it/s]
37%|███▋ | 7/19 [00:01<00:02, 4.92it/s]
42%|████▏ | 8/19 [00:01<00:02, 4.92it/s]
47%|████▋ | 9/19 [00:01<00:02, 4.90it/s]
53%|█████▎ | 10/19 [00:02<00:01, 4.89it/s]
58%|█████▊ | 11/19 [00:02<00:01, 4.89it/s]
63%|██████▎ | 12/19 [00:02<00:01, 4.87it/s]
68%|██████▊ | 13/19 [00:02<00:01, 4.84it/s]
74%|███████▎ | 14/19 [00:02<00:01, 4.79it/s]
79%|███████▉ | 15/19 [00:03<00:00, 4.83it/s]
84%|████████▍ | 16/19 [00:03<00:00, 4.86it/s]
89%|████████▉ | 17/19 [00:03<00:00, 4.89it/s]
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100%|██████████| 19/19 [00:03<00:00, 4.94it/s]
100%|██████████| 19/19 [00:03<00:00, 4.88it/s]
Decoding latents in cuda:0...
done in 0.24s
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%| | 0/19 [00:00<?, ?it/s]
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11%|█ | 2/19 [00:00<00:03, 4.88it/s]
16%|█▌ | 3/19 [00:00<00:03, 4.80it/s]
21%|██ | 4/19 [00:00<00:03, 4.79it/s]
26%|██▋ | 5/19 [00:01<00:02, 4.78it/s]
32%|███▏ | 6/19 [00:01<00:02, 4.77it/s]
37%|███▋ | 7/19 [00:01<00:02, 4.72it/s]
42%|████▏ | 8/19 [00:01<00:02, 4.78it/s]
47%|████▋ | 9/19 [00:01<00:02, 4.71it/s]
53%|█████▎ | 10/19 [00:02<00:01, 4.78it/s]
58%|█████▊ | 11/19 [00:02<00:01, 4.81it/s]
63%|██████▎ | 12/19 [00:02<00:01, 4.84it/s]
68%|██████▊ | 13/19 [00:02<00:01, 4.86it/s]
74%|███████▎ | 14/19 [00:02<00:01, 4.84it/s]
79%|███████▉ | 15/19 [00:03<00:00, 4.88it/s]
84%|████████▍ | 16/19 [00:03<00:00, 4.90it/s]
89%|████████▉ | 17/19 [00:03<00:00, 4.90it/s]
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100%|██████████| 19/19 [00:03<00:00, 4.96it/s]
100%|██████████| 19/19 [00:03<00:00, 4.84it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.2ms
Speed: 2.6ms preprocess, 7.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/19 [00:00<?, ?it/s]
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21%|██ | 4/19 [00:00<00:03, 4.85it/s]
26%|██▋ | 5/19 [00:01<00:02, 4.88it/s]
32%|███▏ | 6/19 [00:01<00:02, 4.91it/s]
37%|███▋ | 7/19 [00:01<00:02, 4.92it/s]
42%|████▏ | 8/19 [00:01<00:02, 4.82it/s]
47%|████▋ | 9/19 [00:01<00:02, 4.82it/s]
53%|█████▎ | 10/19 [00:02<00:01, 4.84it/s]
58%|█████▊ | 11/19 [00:02<00:01, 4.84it/s]
63%|██████▎ | 12/19 [00:02<00:01, 4.87it/s]
68%|██████▊ | 13/19 [00:02<00:01, 4.90it/s]
74%|███████▎ | 14/19 [00:02<00:01, 4.93it/s]
79%|███████▉ | 15/19 [00:03<00:00, 4.83it/s]
84%|████████▍ | 16/19 [00:03<00:00, 4.88it/s]
89%|████████▉ | 17/19 [00:03<00:00, 4.92it/s]
95%|█████████▍| 18/19 [00:03<00:00, 4.94it/s]
100%|██████████| 19/19 [00:03<00:00, 4.99it/s]
100%|██████████| 19/19 [00:03<00:00, 4.90it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0%| | 0/19 [00:00<?, ?it/s]
5%|▌ | 1/19 [00:00<00:03, 4.90it/s]
11%|█ | 2/19 [00:00<00:03, 4.87it/s]
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21%|██ | 4/19 [00:00<00:03, 4.86it/s]
26%|██▋ | 5/19 [00:01<00:02, 4.89it/s]
32%|███▏ | 6/19 [00:01<00:02, 4.89it/s]
37%|███▋ | 7/19 [00:01<00:02, 4.88it/s]
42%|████▏ | 8/19 [00:01<00:02, 4.90it/s]
47%|████▋ | 9/19 [00:01<00:02, 4.92it/s]
53%|█████▎ | 10/19 [00:02<00:01, 4.92it/s]
58%|█████▊ | 11/19 [00:02<00:01, 4.91it/s]
63%|██████▎ | 12/19 [00:02<00:01, 4.91it/s]
68%|██████▊ | 13/19 [00:02<00:01, 4.84it/s]
74%|███████▎ | 14/19 [00:02<00:01, 4.87it/s]
79%|███████▉ | 15/19 [00:03<00:00, 4.90it/s]
84%|████████▍ | 16/19 [00:03<00:00, 4.91it/s]
89%|████████▉ | 17/19 [00:03<00:00, 4.83it/s]
95%|█████████▍| 18/19 [00:03<00:00, 4.86it/s]
100%|██████████| 19/19 [00:03<00:00, 4.92it/s]
100%|██████████| 19/19 [00:03<00:00, 4.89it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
Finished.