Version: v1.0
Input
Output
This example was created by evevalentine2017
Finished in 143.6 seconds
v1.0: Pulling from evevalentine2017/otoko-no-ko
578acb154839: Already exists
ac65017cfc56: Already exists
146269b80f9c: Already exists
b51bc62cc3ca: Already exists
4ba34dd48a55: Already exists
2c0d7edf2b4f: Already exists
bd3aa092d934: Already exists
a2a0b079260c: Already exists
48e8a1cea0b1: Already exists
607175607db9: Already exists
44762e60be28: Already exists
d1e8a6995bc7: Already exists
8915fc22d7d8: Already exists
e186b03af121: Already exists
4f4fb700ef54: Already exists
030de23c0760: Already exists
ab04e85d39fb: Pull complete
f22f5cd1fb81: Pull complete
cc519650e9ad: Pull complete
Setting up the model...
Processing...
Full prompt: best quality, (masterpiece:1.2), illustration, absurdres,
(1girl), (solo), (beautiful detailed girl), full body,
<lora:ShahinaDancer-000012:1>, Shahina, green eyes, brown hair, short hair, ahoge, dark skin, flat chest, small breasts, young,
golden tiara, jewelry,hoop earrings, arabian dancer outfit, white harem pants, sandals, gentle smile, shy, looking at viewer, park, city, tall buildings, street, tree, sky, clouds, day, <lora:FaceBeauty_qinglong_V3:1.5>
Full negative prompt: (girls), (low quality, worst quality), (bad anatomy:1.4), realisticvision-negative-embedding, EasyNegativeV2, child, underage, (more than 1 person), BadNegAnatomyV1-neg, nipples, nsfw, fat
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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: 3.6ms preprocess, 8.0ms inference, 26.4ms 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, 7.7ms
Speed: 3.1ms preprocess, 7.7ms 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
0: 640x640 1 face, 7.7ms
Speed: 3.2ms preprocess, 7.7ms inference, 1.8ms 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, 7.7ms
Speed: 3.1ms preprocess, 7.7ms 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
Finished.
This example was created by evevalentine2017
Finished in 143.6 seconds
v1.0: Pulling from evevalentine2017/otoko-no-ko
578acb154839: Already exists
ac65017cfc56: Already exists
146269b80f9c: Already exists
b51bc62cc3ca: Already exists
4ba34dd48a55: Already exists
2c0d7edf2b4f: Already exists
bd3aa092d934: Already exists
a2a0b079260c: Already exists
48e8a1cea0b1: Already exists
607175607db9: Already exists
44762e60be28: Already exists
d1e8a6995bc7: Already exists
8915fc22d7d8: Already exists
e186b03af121: Already exists
4f4fb700ef54: Already exists
030de23c0760: Already exists
ab04e85d39fb: Pull complete
f22f5cd1fb81: Pull complete
cc519650e9ad: Pull complete
Setting up the model...
Processing...
Full prompt: best quality, (masterpiece:1.2), illustration, absurdres,
(1girl), (solo), (beautiful detailed girl), full body,
<lora:ShahinaDancer-000012:1>, Shahina, green eyes, brown hair, short hair, ahoge, dark skin, flat chest, small breasts, young,
golden tiara, jewelry,hoop earrings, arabian dancer outfit, white harem pants, sandals, gentle smile, shy, looking at viewer, park, city, tall buildings, street, tree, sky, clouds, day, <lora:FaceBeauty_qinglong_V3:1.5>
Full negative prompt: (girls), (low quality, worst quality), (bad anatomy:1.4), realisticvision-negative-embedding, EasyNegativeV2, child, underage, (more than 1 person), BadNegAnatomyV1-neg, nipples, nsfw, fat
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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: 3.6ms preprocess, 8.0ms inference, 26.4ms postprocess per image at shape (1, 3, 640, 640)
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21%|██▏ | 6/28 [00:02<00:10, 2.10it/s]
25%|██▌ | 7/28 [00:03<00:09, 2.14it/s]
29%|██▊ | 8/28 [00:03<00:09, 2.06it/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, 2.18it/s]
43%|████▎ | 12/28 [00:05<00:07, 2.25it/s]
46%|████▋ | 13/28 [00:06<00:06, 2.24it/s]
50%|█████ | 14/28 [00:06<00:06, 2.31it/s]
54%|█████▎ | 15/28 [00:06<00:05, 2.40it/s]
57%|█████▋ | 16/28 [00:07<00:04, 2.42it/s]
61%|██████ | 17/28 [00:07<00:04, 2.34it/s]
64%|██████▍ | 18/28 [00:08<00:04, 2.30it/s]
68%|██████▊ | 19/28 [00:08<00:04, 2.23it/s]
71%|███████▏ | 20/28 [00:09<00:03, 2.26it/s]
75%|███████▌ | 21/28 [00:09<00:03, 2.30it/s]
79%|███████▊ | 22/28 [00:09<00:02, 2.26it/s]
82%|████████▏ | 23/28 [00:10<00:02, 2.29it/s]
86%|████████▌ | 24/28 [00:10<00:01, 2.39it/s]
89%|████████▉ | 25/28 [00:11<00:01, 2.48it/s]
93%|█████████▎| 26/28 [00:11<00:00, 2.49it/s]
96%|█████████▋| 27/28 [00:11<00:00, 2.84it/s]
100%|██████████| 28/28 [00:12<00:00, 3.24it/s]
100%|██████████| 28/28 [00:12<00:00, 2.33it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.7ms
Speed: 3.1ms preprocess, 7.7ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/28 [00:00<?, ?it/s]
4%|▎ | 1/28 [00:00<00:12, 2.18it/s]
7%|▋ | 2/28 [00:00<00:12, 2.13it/s]
11%|█ | 3/28 [00:01<00:11, 2.23it/s]
14%|█▍ | 4/28 [00:01<00:10, 2.23it/s]
18%|█▊ | 5/28 [00:02<00:10, 2.25it/s]
21%|██▏ | 6/28 [00:02<00:10, 2.18it/s]
25%|██▌ | 7/28 [00:03<00:09, 2.16it/s]
29%|██▊ | 8/28 [00:03<00:09, 2.08it/s]
32%|███▏ | 9/28 [00:04<00:08, 2.17it/s]
36%|███▌ | 10/28 [00:04<00:08, 2.23it/s]
39%|███▉ | 11/28 [00:05<00:07, 2.22it/s]
43%|████▎ | 12/28 [00:05<00:07, 2.27it/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 [00:07<00:04, 2.50it/s]
61%|██████ | 17/28 [00:07<00:04, 2.41it/s]
64%|██████▍ | 18/28 [00:07<00:04, 2.42it/s]
68%|██████▊ | 19/28 [00:08<00:03, 2.33it/s]
71%|███████▏ | 20/28 [00:08<00:03, 2.37it/s]
75%|███████▌ | 21/28 [00:09<00:02, 2.39it/s]
79%|███████▊ | 22/28 [00:09<00:02, 2.27it/s]
82%|████████▏ | 23/28 [00:10<00:02, 2.32it/s]
86%|████████▌ | 24/28 [00:10<00:01, 2.37it/s]
89%|████████▉ | 25/28 [00:10<00:01, 2.47it/s]
93%|█████████▎| 26/28 [00:11<00:00, 2.47it/s]
96%|█████████▋| 27/28 [00:11<00:00, 2.79it/s]
100%|██████████| 28/28 [00:11<00:00, 3.18it/s]
100%|██████████| 28/28 [00:11<00:00, 2.40it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.7ms
Speed: 3.2ms preprocess, 7.7ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/28 [00:00<?, ?it/s]
4%|▎ | 1/28 [00:00<00:11, 2.27it/s]
7%|▋ | 2/28 [00:00<00:12, 2.08it/s]
11%|█ | 3/28 [00:01<00:11, 2.23it/s]
14%|█▍ | 4/28 [00:01<00:10, 2.19it/s]
18%|█▊ | 5/28 [00:02<00:10, 2.23it/s]
21%|██▏ | 6/28 [00:02<00:10, 2.17it/s]
25%|██▌ | 7/28 [00:03<00:09, 2.15it/s]
29%|██▊ | 8/28 [00:03<00:09, 2.09it/s]
32%|███▏ | 9/28 [00:04<00:08, 2.15it/s]
36%|███▌ | 10/28 [00:04<00:08, 2.23it/s]
39%|███▉ | 11/28 [00:05<00:07, 2.17it/s]
43%|████▎ | 12/28 [00:05<00:07, 2.23it/s]
46%|████▋ | 13/28 [00:05<00:06, 2.21it/s]
50%|█████ | 14/28 [00:06<00:05, 2.33it/s]
54%|█████▎ | 15/28 [00:06<00:05, 2.42it/s]
57%|█████▋ | 16/28 [00:07<00:04, 2.45it/s]
61%|██████ | 17/28 [00:07<00:04, 2.38it/s]
64%|██████▍ | 18/28 [00:07<00:04, 2.39it/s]
68%|██████▊ | 19/28 [00:08<00:03, 2.30it/s]
71%|███████▏ | 20/28 [00:08<00:03, 2.36it/s]
75%|███████▌ | 21/28 [00:09<00:02, 2.36it/s]
79%|███████▊ | 22/28 [00:09<00:02, 2.30it/s]
82%|████████▏ | 23/28 [00:10<00:02, 2.33it/s]
86%|████████▌ | 24/28 [00:10<00:01, 2.41it/s]
89%|████████▉ | 25/28 [00:10<00:01, 2.52it/s]
93%|█████████▎| 26/28 [00:11<00:00, 2.48it/s]
96%|█████████▋| 27/28 [00:11<00:00, 2.82it/s]
100%|██████████| 28/28 [00:11<00:00, 3.24it/s]
100%|██████████| 28/28 [00:11<00:00, 2.39it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.7ms
Speed: 3.1ms preprocess, 7.7ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/28 [00:00<?, ?it/s]
4%|▎ | 1/28 [00:00<00:11, 2.26it/s]
7%|▋ | 2/28 [00:00<00:12, 2.11it/s]
11%|█ | 3/28 [00:01<00:11, 2.20it/s]
14%|█▍ | 4/28 [00:01<00:10, 2.22it/s]
18%|█▊ | 5/28 [00:02<00:10, 2.26it/s]
21%|██▏ | 6/28 [00:02<00:10, 2.17it/s]
25%|██▌ | 7/28 [00:03<00:09, 2.18it/s]
29%|██▊ | 8/28 [00:03<00:09, 2.11it/s]
32%|███▏ | 9/28 [00:04<00:08, 2.20it/s]
36%|███▌ | 10/28 [00:04<00:08, 2.23it/s]
39%|███▉ | 11/28 [00:05<00:07, 2.21it/s]
43%|████▎ | 12/28 [00:05<00:07, 2.23it/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, 2.37it/s]
57%|█████▋ | 16/28 [00:07<00:04, 2.42it/s]
61%|██████ | 17/28 [00:07<00:04, 2.32it/s]
64%|██████▍ | 18/28 [00:07<00:04, 2.37it/s]
68%|██████▊ | 19/28 [00:08<00:03, 2.30it/s]
71%|███████▏ | 20/28 [00:08<00:03, 2.33it/s]
75%|███████▌ | 21/28 [00:09<00:02, 2.37it/s]
79%|███████▊ | 22/28 [00:09<00:02, 2.27it/s]
82%|████████▏ | 23/28 [00:10<00:02, 2.32it/s]
86%|████████▌ | 24/28 [00:10<00:01, 2.38it/s]
89%|████████▉ | 25/28 [00:10<00:01, 2.49it/s]
93%|█████████▎| 26/28 [00:11<00:00, 2.50it/s]
96%|█████████▋| 27/28 [00:11<00:00, 2.81it/s]
100%|██████████| 28/28 [00:11<00:00, 3.21it/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
Finished.