Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 209.4 seconds
Setting up the model...
Processing...
Full prompt: outfit-rossiya, white coat, military hat, 1 girl, solo, standing, looking at viewer, hand on hip, short hair, large breasts, shoes, simple background, <lora:Rossiya:0.7> <lora:CuteGothicFashion_2:0.7><lora:FaceBeauty_qinglong_V3:1.5>,
Full negative prompt: (low quality, worst quality), (bad anatomy:1.4), (low quality, worst quality), (bad anatomy:1.4), realisticvision-negative-embedding, child, underage, child, underage, nipples, nsfw, BadNegAnatomyV1-neg, more than 2 legs, more than 2 feet, more than 2 shoes, more than 2 sneakers, ((Asian-Less-Neg:2))
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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, 7.8ms
Speed: 4.8ms preprocess, 7.8ms inference, 45.3ms 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 (no detections), 7.4ms
Speed: 2.9ms preprocess, 7.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
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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Decoding latents in cuda:0...
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Move latents to cpu...
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0: 640x640 3 hands, 7.5ms
Speed: 2.7ms preprocess, 7.5ms inference, 1.9ms 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
0: 640x640 1 face, 7.9ms
Speed: 2.6ms preprocess, 7.9ms 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 (no detections), 7.2ms
Speed: 3.0ms preprocess, 7.2ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
0: 640x640 1 face, 7.7ms
Speed: 2.6ms preprocess, 7.7ms 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 2 hands, 7.4ms
Speed: 3.0ms preprocess, 7.4ms inference, 1.7ms 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
Finished.
This example was created by evevalentine2017
Finished in 209.4 seconds
Setting up the model...
Processing...
Full prompt: outfit-rossiya, white coat, military hat, 1 girl, solo, standing, looking at viewer, hand on hip, short hair, large breasts, shoes, simple background, <lora:Rossiya:0.7> <lora:CuteGothicFashion_2:0.7><lora:FaceBeauty_qinglong_V3:1.5>,
Full negative prompt: (low quality, worst quality), (bad anatomy:1.4), (low quality, worst quality), (bad anatomy:1.4), realisticvision-negative-embedding, child, underage, child, underage, nipples, nsfw, BadNegAnatomyV1-neg, more than 2 legs, more than 2 feet, more than 2 shoes, more than 2 sneakers, ((Asian-Less-Neg:2))
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Decoding latents in cuda:0...
done in 0.96s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.8ms
Speed: 4.8ms preprocess, 7.8ms inference, 45.3ms 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 (no detections), 7.4ms
Speed: 2.9ms preprocess, 7.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 1 with 2nd settings.
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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0: 640x640 3 hands, 7.5ms
Speed: 2.7ms preprocess, 7.5ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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36%|███▌ | 10/28 [00:04<00:08, 2.19it/s]
39%|███▉ | 11/28 [00:05<00:07, 2.17it/s]
43%|████▎ | 12/28 [00:05<00:07, 2.25it/s]
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54%|█████▎ | 15/28 [00:06<00:05, 2.44it/s]
57%|█████▋ | 16/28 [00:07<00:04, 2.47it/s]
61%|██████ | 17/28 [00:07<00:04, 2.39it/s]
64%|██████▍ | 18/28 [00:08<00:04, 2.40it/s]
68%|██████▊ | 19/28 [00:08<00:03, 2.29it/s]
71%|███████▏ | 20/28 [00:08<00:03, 2.34it/s]
75%|███████▌ | 21/28 [00:09<00:02, 2.38it/s]
79%|███████▊ | 22/28 [00:09<00:02, 2.32it/s]
82%|████████▏ | 23/28 [00:10<00:02, 2.36it/s]
86%|████████▌ | 24/28 [00:10<00:01, 2.43it/s]
89%|████████▉ | 25/28 [00:10<00:01, 2.53it/s]
93%|█████████▎| 26/28 [00:11<00:00, 2.54it/s]
96%|█████████▋| 27/28 [00:11<00:00, 2.89it/s]
100%|██████████| 28/28 [00:11<00:00, 3.31it/s]
100%|██████████| 28/28 [00:11<00:00, 2.38it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.9ms
Speed: 2.6ms preprocess, 7.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/28 [00:00<?, ?it/s]
4%|▎ | 1/28 [00:00<00:11, 2.29it/s]
7%|▋ | 2/28 [00:00<00:12, 2.16it/s]
11%|█ | 3/28 [00:01<00:10, 2.27it/s]
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21%|██▏ | 6/28 [00:02<00:10, 2.17it/s]
25%|██▌ | 7/28 [00:03<00:09, 2.16it/s]
29%|██▊ | 8/28 [00:03<00:09, 2.10it/s]
32%|███▏ | 9/28 [00:04<00:08, 2.16it/s]
36%|███▌ | 10/28 [00:04<00:08, 2.24it/s]
39%|███▉ | 11/28 [00:05<00:07, 2.21it/s]
43%|████▎ | 12/28 [00:05<00:07, 2.25it/s]
46%|████▋ | 13/28 [00:05<00:06, 2.23it/s]
50%|█████ | 14/28 [00:06<00:06, 2.33it/s]
54%|█████▎ | 15/28 [00:06<00:05, 2.43it/s]
57%|█████▋ | 16/28 [00:07<00:04, 2.43it/s]
61%|██████ | 17/28 [00:07<00:04, 2.36it/s]
64%|██████▍ | 18/28 [00:07<00:04, 2.40it/s]
68%|██████▊ | 19/28 [00:08<00:03, 2.29it/s]
71%|███████▏ | 20/28 [00:08<00:03, 2.36it/s]
75%|███████▌ | 21/28 [00:09<00:02, 2.38it/s]
79%|███████▊ | 22/28 [00:09<00:02, 2.33it/s]
82%|████████▏ | 23/28 [00:10<00:02, 2.32it/s]
86%|████████▌ | 24/28 [00:10<00:01, 2.42it/s]
89%|████████▉ | 25/28 [00:10<00:01, 2.50it/s]
93%|█████████▎| 26/28 [00:11<00:00, 2.51it/s]
96%|█████████▋| 27/28 [00:11<00:00, 2.86it/s]
100%|██████████| 28/28 [00:11<00:00, 3.29it/s]
100%|██████████| 28/28 [00:11<00:00, 2.40it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.2ms
Speed: 3.0ms preprocess, 7.2ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
0: 640x640 1 face, 7.7ms
Speed: 2.6ms preprocess, 7.7ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/28 [00:00<?, ?it/s]
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7%|▋ | 2/28 [00:00<00:12, 2.13it/s]
11%|█ | 3/28 [00:01<00:11, 2.26it/s]
14%|█▍ | 4/28 [00:01<00:10, 2.24it/s]
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21%|██▏ | 6/28 [00:02<00:10, 2.20it/s]
25%|██▌ | 7/28 [00:03<00:09, 2.20it/s]
29%|██▊ | 8/28 [00:03<00:09, 2.13it/s]
32%|███▏ | 9/28 [00:04<00:08, 2.22it/s]
36%|███▌ | 10/28 [00:04<00:07, 2.28it/s]
39%|███▉ | 11/28 [00:04<00:07, 2.25it/s]
43%|████▎ | 12/28 [00:05<00:06, 2.31it/s]
46%|████▋ | 13/28 [00:05<00:06, 2.28it/s]
50%|█████ | 14/28 [00:06<00:05, 2.39it/s]
54%|█████▎ | 15/28 [00:06<00:05, 2.44it/s]
57%|█████▋ | 16/28 [00:06<00:04, 2.48it/s]
61%|██████ | 17/28 [00:07<00:04, 2.40it/s]
64%|██████▍ | 18/28 [00:07<00:04, 2.42it/s]
68%|██████▊ | 19/28 [00:08<00:03, 2.31it/s]
71%|███████▏ | 20/28 [00:08<00:03, 2.38it/s]
75%|███████▌ | 21/28 [00:09<00:02, 2.41it/s]
79%|███████▊ | 22/28 [00:09<00:02, 2.34it/s]
82%|████████▏ | 23/28 [00:09<00:02, 2.37it/s]
86%|████████▌ | 24/28 [00:10<00:01, 2.45it/s]
89%|████████▉ | 25/28 [00:10<00:01, 2.54it/s]
93%|█████████▎| 26/28 [00:11<00:00, 2.53it/s]
96%|█████████▋| 27/28 [00:11<00:00, 2.89it/s]
100%|██████████| 28/28 [00:11<00:00, 3.33it/s]
100%|██████████| 28/28 [00:11<00:00, 2.43it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.4ms
Speed: 3.0ms preprocess, 7.4ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/28 [00:00<?, ?it/s]
4%|▎ | 1/28 [00:00<00:11, 2.36it/s]
7%|▋ | 2/28 [00:00<00:11, 2.22it/s]
11%|█ | 3/28 [00:01<00:10, 2.34it/s]
14%|█▍ | 4/28 [00:01<00:10, 2.31it/s]
18%|█▊ | 5/28 [00:02<00:09, 2.33it/s]
21%|██▏ | 6/28 [00:02<00:09, 2.25it/s]
25%|██▌ | 7/28 [00:03<00:09, 2.26it/s]
29%|██▊ | 8/28 [00:03<00:09, 2.17it/s]
32%|███▏ | 9/28 [00:03<00:08, 2.27it/s]
36%|███▌ | 10/28 [00:04<00:07, 2.34it/s]
39%|███▉ | 11/28 [00:04<00:07, 2.31it/s]
43%|████▎ | 12/28 [00:05<00:06, 2.36it/s]
46%|████▋ | 13/28 [00:05<00:06, 2.35it/s]
50%|█████ | 14/28 [00:06<00:05, 2.45it/s]
54%|█████▎ | 15/28 [00:06<00:05, 2.53it/s]
57%|█████▋ | 16/28 [00:06<00:04, 2.54it/s]
61%|██████ | 17/28 [00:07<00:04, 2.43it/s]
64%|██████▍ | 18/28 [00:07<00:04, 2.46it/s]
68%|██████▊ | 19/28 [00:08<00:03, 2.36it/s]
71%|███████▏ | 20/28 [00:08<00:03, 2.39it/s]
75%|███████▌ | 21/28 [00:08<00:02, 2.42it/s]
79%|███████▊ | 22/28 [00:09<00:02, 2.34it/s]
82%|████████▏ | 23/28 [00:09<00:02, 2.38it/s]
86%|████████▌ | 24/28 [00:10<00:01, 2.45it/s]
89%|████████▉ | 25/28 [00:10<00:01, 2.55it/s]
93%|█████████▎| 26/28 [00:10<00:00, 2.54it/s]
96%|█████████▋| 27/28 [00:11<00:00, 2.89it/s]
100%|██████████| 28/28 [00:11<00:00, 3.31it/s]
100%|██████████| 28/28 [00:11<00:00, 2.47it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0%| | 0/28 [00:00<?, ?it/s]
4%|▎ | 1/28 [00:00<00:11, 2.28it/s]
7%|▋ | 2/28 [00:00<00:12, 2.15it/s]
11%|█ | 3/28 [00:01<00:11, 2.27it/s]
14%|█▍ | 4/28 [00:01<00:10, 2.25it/s]
18%|█▊ | 5/28 [00:02<00:10, 2.27it/s]
21%|██▏ | 6/28 [00:02<00:09, 2.21it/s]
25%|██▌ | 7/28 [00:03<00:09, 2.20it/s]
29%|██▊ | 8/28 [00:03<00:09, 2.12it/s]
32%|███▏ | 9/28 [00:04<00:08, 2.21it/s]
36%|███▌ | 10/28 [00:04<00:07, 2.27it/s]
39%|███▉ | 11/28 [00:04<00:07, 2.23it/s]
43%|████▎ | 12/28 [00:05<00:07, 2.28it/s]
46%|████▋ | 13/28 [00:05<00:06, 2.28it/s]
50%|█████ | 14/28 [00:06<00:05, 2.39it/s]
54%|█████▎ | 15/28 [00:06<00:05, 2.47it/s]
57%|█████▋ | 16/28 [00:06<00:04, 2.52it/s]
61%|██████ | 17/28 [00:07<00:04, 2.42it/s]
64%|██████▍ | 18/28 [00:07<00:04, 2.44it/s]
68%|██████▊ | 19/28 [00:08<00:03, 2.33it/s]
71%|███████▏ | 20/28 [00:08<00:03, 2.38it/s]
75%|███████▌ | 21/28 [00:09<00:02, 2.41it/s]
79%|███████▊ | 22/28 [00:09<00:02, 2.35it/s]
82%|████████▏ | 23/28 [00:09<00:02, 2.39it/s]
86%|████████▌ | 24/28 [00:10<00:01, 2.47it/s]
89%|████████▉ | 25/28 [00:10<00:01, 2.56it/s]
93%|█████████▎| 26/28 [00:11<00:00, 2.56it/s]
96%|█████████▋| 27/28 [00:11<00:00, 2.90it/s]
100%|██████████| 28/28 [00:11<00:00, 3.29it/s]
100%|██████████| 28/28 [00:11<00:00, 2.44it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
Finished.