Version: v3.0
Input
Output
This example was created by evevalentine2017
Finished in 61.2 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: (masterpiece, best quality), female, full-figured, european, golden eyes, protruding chin, angular jaw, broad forehead, delicate hands, teal crown braid hair, guilt wearing off-the-shoulder romper, scoop-neck top, tiaras with crystal accents, peeking from behind a door, peering from behind a slightly ajar door, creating an air of secrecy and allure, backlighting, creates a halo effect around characters, giving them a radiant and romantic aura, a friendly neighborhood café, with cozy seating, friendly staff, and the aroma of freshly brewed coffee
Full negative prompt: (more than 2 legs), more than 2 feet, more than 2 hands, (more than 2 arms), (less than 2 legs), worst quality, low quality, watermark, signature, bad hands, bad anatomy, missing finger, broken finger, warped finger, malformation finger, warped leg, malformation leg, malformation, malformation body, NegfeetV2
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0: 640x640 1 face, 7.5ms
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0: 640x640 2 hands, 7.2ms
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0: 640x640 1 face, 7.2ms
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0: 640x640 1 hand, 7.3ms
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0: 640x640 1 face, 7.2ms
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0: 640x640 1 hand, 7.6ms
Speed: 2.7ms preprocess, 7.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.1ms
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0: 640x640 1 hand, 7.2ms
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Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 61.2 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: (masterpiece, best quality), female, full-figured, european, golden eyes, protruding chin, angular jaw, broad forehead, delicate hands, teal crown braid hair, guilt wearing off-the-shoulder romper, scoop-neck top, tiaras with crystal accents, peeking from behind a door, peering from behind a slightly ajar door, creating an air of secrecy and allure, backlighting, creates a halo effect around characters, giving them a radiant and romantic aura, a friendly neighborhood café, with cozy seating, friendly staff, and the aroma of freshly brewed coffee
Full negative prompt: (more than 2 legs), more than 2 feet, more than 2 hands, (more than 2 arms), (less than 2 legs), worst quality, low quality, watermark, signature, bad hands, bad anatomy, missing finger, broken finger, warped finger, malformation finger, warped leg, malformation leg, malformation, malformation body, NegfeetV2
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.5ms
Speed: 3.1ms preprocess, 7.5ms inference, 30.9ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 7.2ms
Speed: 2.8ms preprocess, 7.2ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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79%|███████▊ | 11/14 [00:02<00:00, 4.92it/s]
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Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
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50%|█████ | 7/14 [00:01<00:01, 5.05it/s]
57%|█████▋ | 8/14 [00:01<00:01, 5.08it/s]
64%|██████▍ | 9/14 [00:01<00:00, 5.10it/s]
71%|███████▏ | 10/14 [00:01<00:00, 5.07it/s]
79%|███████▊ | 11/14 [00:02<00:00, 5.07it/s]
86%|████████▌ | 12/14 [00:02<00:00, 5.07it/s]
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100%|██████████| 14/14 [00:02<00:00, 5.00it/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, 7.2ms
Speed: 2.8ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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50%|█████ | 7/14 [00:01<00:01, 5.01it/s]
57%|█████▋ | 8/14 [00:01<00:01, 5.05it/s]
64%|██████▍ | 9/14 [00:01<00:00, 5.05it/s]
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79%|███████▊ | 11/14 [00:02<00:00, 4.99it/s]
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100%|██████████| 14/14 [00:02<00:00, 4.98it/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 hand, 7.3ms
Speed: 2.8ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/14 [00:00<?, ?it/s]
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50%|█████ | 7/14 [00:01<00:01, 4.92it/s]
57%|█████▋ | 8/14 [00:01<00:01, 4.92it/s]
64%|██████▍ | 9/14 [00:01<00:01, 4.95it/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, 4.96it/s]
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100%|██████████| 14/14 [00:02<00:00, 5.03it/s]
100%|██████████| 14/14 [00:02<00:00, 4.99it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.2ms
Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms 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]
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21%|██▏ | 3/14 [00:00<00:02, 5.03it/s]
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36%|███▌ | 5/14 [00:00<00:01, 5.03it/s]
43%|████▎ | 6/14 [00:01<00:01, 5.03it/s]
50%|█████ | 7/14 [00:01<00:01, 4.94it/s]
57%|█████▋ | 8/14 [00:01<00:01, 4.93it/s]
64%|██████▍ | 9/14 [00:01<00:01, 4.97it/s]
71%|███████▏ | 10/14 [00:02<00:00, 4.98it/s]
79%|███████▊ | 11/14 [00:02<00:00, 5.00it/s]
86%|████████▌ | 12/14 [00:02<00:00, 5.01it/s]
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100%|██████████| 14/14 [00:02<00:00, 5.01it/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 hand, 7.6ms
Speed: 2.7ms preprocess, 7.6ms 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, 5.16it/s]
14%|█▍ | 2/14 [00:00<00:02, 5.16it/s]
21%|██▏ | 3/14 [00:00<00:02, 5.13it/s]
29%|██▊ | 4/14 [00:00<00:01, 5.08it/s]
36%|███▌ | 5/14 [00:00<00:01, 5.05it/s]
43%|████▎ | 6/14 [00:01<00:01, 4.99it/s]
50%|█████ | 7/14 [00:01<00:01, 4.99it/s]
57%|█████▋ | 8/14 [00:01<00:01, 5.00it/s]
64%|██████▍ | 9/14 [00:01<00:01, 4.99it/s]
71%|███████▏ | 10/14 [00:01<00:00, 4.95it/s]
79%|███████▊ | 11/14 [00:02<00:00, 4.99it/s]
86%|████████▌ | 12/14 [00:02<00:00, 4.96it/s]
93%|█████████▎| 13/14 [00:02<00:00, 5.03it/s]
100%|██████████| 14/14 [00:02<00:00, 5.08it/s]
100%|██████████| 14/14 [00:02<00:00, 5.03it/s]
Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.1ms
Speed: 2.6ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/14 [00:00<?, ?it/s]
7%|▋ | 1/14 [00:00<00:02, 4.73it/s]
14%|█▍ | 2/14 [00:00<00:02, 4.90it/s]
21%|██▏ | 3/14 [00:00<00:02, 4.96it/s]
29%|██▊ | 4/14 [00:00<00:02, 4.95it/s]
36%|███▌ | 5/14 [00:01<00:01, 4.97it/s]
43%|████▎ | 6/14 [00:01<00:01, 5.01it/s]
50%|█████ | 7/14 [00:01<00:01, 5.07it/s]
57%|█████▋ | 8/14 [00:01<00:01, 5.09it/s]
64%|██████▍ | 9/14 [00:01<00:01, 4.99it/s]
71%|███████▏ | 10/14 [00:01<00:00, 5.04it/s]
79%|███████▊ | 11/14 [00:02<00:00, 5.05it/s]
86%|████████▌ | 12/14 [00:02<00:00, 5.06it/s]
93%|█████████▎| 13/14 [00:02<00:00, 5.05it/s]
100%|██████████| 14/14 [00:02<00:00, 5.05it/s]
100%|██████████| 14/14 [00:02<00:00, 5.02it/s]
Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.2ms
Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/14 [00:00<?, ?it/s]
7%|▋ | 1/14 [00:00<00:02, 5.01it/s]
14%|█▍ | 2/14 [00:00<00:02, 4.89it/s]
21%|██▏ | 3/14 [00:00<00:02, 5.00it/s]
29%|██▊ | 4/14 [00:00<00:01, 5.03it/s]
36%|███▌ | 5/14 [00:00<00:01, 5.02it/s]
43%|████▎ | 6/14 [00:01<00:01, 5.03it/s]
50%|█████ | 7/14 [00:01<00:01, 5.07it/s]
57%|█████▋ | 8/14 [00:01<00:01, 5.10it/s]
64%|██████▍ | 9/14 [00:01<00:00, 5.10it/s]
71%|███████▏ | 10/14 [00:01<00:00, 5.08it/s]
79%|███████▊ | 11/14 [00:02<00:00, 5.04it/s]
86%|████████▌ | 12/14 [00:02<00:00, 4.98it/s]
93%|█████████▎| 13/14 [00:02<00:00, 5.03it/s]
100%|██████████| 14/14 [00:02<00:00, 5.03it/s]
100%|██████████| 14/14 [00:02<00:00, 5.03it/s]
Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.