Version: v2.0
Input
Output
This example was created by evevalentine2017
Finished in 206.9 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors
Full prompt: masterpiece, high quality, solo, 1boy, 20y, ((photorealistic:1.4 )), looking at viewer, Chiaroscuro, city, 2 people, 1man, 1woman, smile, White collared shirt, belt, blue long skirt, motorcycle, riding, formal,suit, necktie, motorcycle, driving, insane details, intricate details, hyperdetailed, 4k, high realism, uhd, dslr, high quality, Fujifilm XT3, handsome, Realistic photography, professionally color graded, 8K, F2.4, 35mm, <lora:more_details:0.8>, <lora:FaceBeauty_qinglong_V3:1>, <lora:add_detail:0.3>, <lora:add_brightness:0.4>
Full negative prompt: ((asian:1.7)), nsfw, nipples, brown hair, blonde hair, black hair, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, glans, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worstquality, low quality, normal quality, jpegartifacts, signature, watermark, username, blurry, bad feet, cropped, poorly drawn hands, poorly drawn face, mutation, deformed, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, extra fingers, fewer digits, extra limbs, extra arms, extra legs, malformed limbs, fused fingers, too many fingers, long neck, cross-eyed, mutated hands, polar lowres, bad body, bad proportions, gross proportions, text, error, missing fingers, missing arms, missing legs, extra digit, bad_prompt_version2-neg, verybadimagenegative_v1.3, rmadanegative4_sd15-neg
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Decoding latents in cuda:0...
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0: 640x640 1 face, 9.5ms
Speed: 3.6ms preprocess, 9.5ms inference, 37.5ms 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, 7.5ms
Speed: 3.0ms preprocess, 7.5ms 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, 7.8ms
Speed: 3.1ms preprocess, 7.8ms 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, 7.8ms
Speed: 3.2ms preprocess, 7.8ms 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 face, 7.6ms
Speed: 2.7ms preprocess, 7.6ms 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 2 hands, 7.3ms
Speed: 2.9ms preprocess, 7.3ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.5ms
Speed: 2.9ms preprocess, 7.5ms 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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Move latents to cpu...
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0: 640x640 1 hand, 7.2ms
Speed: 2.8ms preprocess, 7.2ms 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
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 206.9 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors
Full prompt: masterpiece, high quality, solo, 1boy, 20y, ((photorealistic:1.4 )), looking at viewer, Chiaroscuro, city, 2 people, 1man, 1woman, smile, White collared shirt, belt, blue long skirt, motorcycle, riding, formal,suit, necktie, motorcycle, driving, insane details, intricate details, hyperdetailed, 4k, high realism, uhd, dslr, high quality, Fujifilm XT3, handsome, Realistic photography, professionally color graded, 8K, F2.4, 35mm, <lora:more_details:0.8>, <lora:FaceBeauty_qinglong_V3:1>, <lora:add_detail:0.3>, <lora:add_brightness:0.4>
Full negative prompt: ((asian:1.7)), nsfw, nipples, brown hair, blonde hair, black hair, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, glans, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worstquality, low quality, normal quality, jpegartifacts, signature, watermark, username, blurry, bad feet, cropped, poorly drawn hands, poorly drawn face, mutation, deformed, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, extra fingers, fewer digits, extra limbs, extra arms, extra legs, malformed limbs, fused fingers, too many fingers, long neck, cross-eyed, mutated hands, polar lowres, bad body, bad proportions, gross proportions, text, error, missing fingers, missing arms, missing legs, extra digit, bad_prompt_version2-neg, verybadimagenegative_v1.3, rmadanegative4_sd15-neg
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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, 9.5ms
Speed: 3.6ms preprocess, 9.5ms inference, 37.5ms 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 hand, 7.5ms
Speed: 3.0ms preprocess, 7.5ms 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, 7.8ms
Speed: 3.1ms preprocess, 7.8ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 hand, 7.8ms
Speed: 3.2ms preprocess, 7.8ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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82%|████████▏ | 23/28 [00:10<00:02, 2.32it/s]
86%|████████▌ | 24/28 [00:10<00:01, 2.41it/s]
89%|████████▉ | 25/28 [00:10<00:01, 2.49it/s]
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100%|██████████| 28/28 [00:11<00:00, 3.21it/s]
100%|██████████| 28/28 [00:11<00:00, 2.41it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.6ms
Speed: 2.7ms preprocess, 7.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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21%|██▏ | 6/28 [00:02<00:10, 2.18it/s]
25%|██▌ | 7/28 [00:03<00:09, 2.19it/s]
29%|██▊ | 8/28 [00:03<00:09, 2.11it/s]
32%|███▏ | 9/28 [00:04<00:08, 2.18it/s]
36%|███▌ | 10/28 [00:04<00:07, 2.25it/s]
39%|███▉ | 11/28 [00:04<00:07, 2.23it/s]
43%|████▎ | 12/28 [00:05<00:07, 2.28it/s]
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50%|█████ | 14/28 [00:06<00:05, 2.36it/s]
54%|█████▎ | 15/28 [00:06<00:05, 2.41it/s]
57%|█████▋ | 16/28 [00:07<00:04, 2.45it/s]
61%|██████ | 17/28 [00:07<00:04, 2.37it/s]
64%|██████▍ | 18/28 [00:07<00:04, 2.39it/s]
68%|██████▊ | 19/28 [00:08<00:03, 2.27it/s]
71%|███████▏ | 20/28 [00:08<00:03, 2.33it/s]
75%|███████▌ | 21/28 [00:09<00:02, 2.36it/s]
79%|███████▊ | 22/28 [00:09<00:02, 2.31it/s]
82%|████████▏ | 23/28 [00:10<00:02, 2.35it/s]
86%|████████▌ | 24/28 [00:10<00:01, 2.41it/s]
89%|████████▉ | 25/28 [00:10<00:01, 2.51it/s]
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100%|██████████| 28/28 [00:11<00:00, 3.22it/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 2 hands, 7.3ms
Speed: 2.9ms preprocess, 7.3ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640)
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7%|▋ | 2/28 [00:00<00:12, 2.11it/s]
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14%|█▍ | 4/28 [00:01<00:10, 2.18it/s]
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21%|██▏ | 6/28 [00:02<00:10, 2.16it/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, 2.19it/s]
36%|███▌ | 10/28 [00:04<00:07, 2.25it/s]
39%|███▉ | 11/28 [00:05<00:07, 2.21it/s]
43%|████▎ | 12/28 [00:05<00:07, 2.26it/s]
46%|████▋ | 13/28 [00:05<00:06, 2.25it/s]
50%|█████ | 14/28 [00:06<00:05, 2.36it/s]
54%|█████▎ | 15/28 [00:06<00:05, 2.45it/s]
57%|█████▋ | 16/28 [00:07<00:04, 2.48it/s]
61%|██████ | 17/28 [00:07<00:04, 2.41it/s]
64%|██████▍ | 18/28 [00:07<00:04, 2.40it/s]
68%|██████▊ | 19/28 [00:08<00:03, 2.31it/s]
71%|███████▏ | 20/28 [00:08<00:03, 2.35it/s]
75%|███████▌ | 21/28 [00:09<00:02, 2.37it/s]
79%|███████▊ | 22/28 [00:09<00:02, 2.32it/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, 2.52it/s]
96%|█████████▋| 27/28 [00:11<00:00, 2.85it/s]
100%|██████████| 28/28 [00:11<00:00, 3.26it/s]
100%|██████████| 28/28 [00:11<00:00, 2.41it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0%| | 0/28 [00:00<?, ?it/s]
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7%|▋ | 2/28 [00:00<00:12, 2.06it/s]
11%|█ | 3/28 [00:01<00:11, 2.20it/s]
14%|█▍ | 4/28 [00:01<00:11, 2.16it/s]
18%|█▊ | 5/28 [00:02<00:10, 2.18it/s]
21%|██▏ | 6/28 [00:02<00:10, 2.14it/s]
25%|██▌ | 7/28 [00:03<00:09, 2.16it/s]
29%|██▊ | 8/28 [00:03<00:09, 2.09it/s]
32%|███▏ | 9/28 [00:04<00:08, 2.19it/s]
36%|███▌ | 10/28 [00:04<00:07, 2.26it/s]
39%|███▉ | 11/28 [00:05<00:07, 2.24it/s]
43%|████▎ | 12/28 [00:05<00:06, 2.29it/s]
46%|████▋ | 13/28 [00:05<00:06, 2.27it/s]
50%|█████ | 14/28 [00:06<00:05, 2.38it/s]
54%|█████▎ | 15/28 [00:06<00:05, 2.46it/s]
57%|█████▋ | 16/28 [00:07<00:04, 2.45it/s]
61%|██████ | 17/28 [00:07<00:04, 2.36it/s]
64%|██████▍ | 18/28 [00:07<00:04, 2.36it/s]
68%|██████▊ | 19/28 [00:08<00:03, 2.28it/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, 2.31it/s]
82%|████████▏ | 23/28 [00:10<00:02, 2.34it/s]
86%|████████▌ | 24/28 [00:10<00:01, 2.39it/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, 2.82it/s]
100%|██████████| 28/28 [00:11<00:00, 3.22it/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, 7.5ms
Speed: 2.9ms preprocess, 7.5ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/28 [00:00<?, ?it/s]
4%|▎ | 1/28 [00:00<00:12, 2.25it/s]
7%|▋ | 2/28 [00:00<00:12, 2.13it/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, 2.26it/s]
21%|██▏ | 6/28 [00:02<00:10, 2.19it/s]
25%|██▌ | 7/28 [00:03<00:09, 2.19it/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, 2.24it/s]
39%|███▉ | 11/28 [00:05<00:07, 2.21it/s]
43%|████▎ | 12/28 [00:05<00:07, 2.24it/s]
46%|████▋ | 13/28 [00:05<00:06, 2.25it/s]
50%|█████ | 14/28 [00:06<00:05, 2.35it/s]
54%|█████▎ | 15/28 [00:06<00:05, 2.40it/s]
57%|█████▋ | 16/28 [00:07<00:04, 2.44it/s]
61%|██████ | 17/28 [00:07<00:04, 2.34it/s]
64%|██████▍ | 18/28 [00:07<00:04, 2.37it/s]
68%|██████▊ | 19/28 [00:08<00:03, 2.29it/s]
71%|███████▏ | 20/28 [00:08<00:03, 2.31it/s]
75%|███████▌ | 21/28 [00:09<00:02, 2.37it/s]
79%|███████▊ | 22/28 [00:09<00:02, 2.26it/s]
82%|████████▏ | 23/28 [00:10<00:02, 2.32it/s]
86%|████████▌ | 24/28 [00:10<00:01, 2.40it/s]
89%|████████▉ | 25/28 [00:10<00:01, 2.51it/s]
93%|█████████▎| 26/28 [00:11<00:00, 2.52it/s]
96%|█████████▋| 27/28 [00:11<00:00, 2.85it/s]
100%|██████████| 28/28 [00:11<00:00, 3.26it/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 hand, 7.2ms
Speed: 2.8ms preprocess, 7.2ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/28 [00:00<?, ?it/s]
4%|▎ | 1/28 [00:00<00:11, 2.30it/s]
7%|▋ | 2/28 [00:00<00:12, 2.16it/s]
11%|█ | 3/28 [00:01<00:10, 2.28it/s]
14%|█▍ | 4/28 [00:01<00:10, 2.27it/s]
18%|█▊ | 5/28 [00:02<00:10, 2.25it/s]
21%|██▏ | 6/28 [00:02<00:10, 2.19it/s]
25%|██▌ | 7/28 [00:03<00:09, 2.17it/s]
29%|██▊ | 8/28 [00:03<00:09, 2.10it/s]
32%|███▏ | 9/28 [00:04<00:08, 2.19it/s]
36%|███▌ | 10/28 [00:04<00:07, 2.27it/s]
39%|███▉ | 11/28 [00:04<00:07, 2.25it/s]
43%|████▎ | 12/28 [00:05<00:07, 2.26it/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, 2.42it/s]
57%|█████▋ | 16/28 [00:07<00:04, 2.46it/s]
61%|██████ | 17/28 [00:07<00:04, 2.39it/s]
64%|██████▍ | 18/28 [00:07<00:04, 2.42it/s]
68%|██████▊ | 19/28 [00:08<00:03, 2.30it/s]
71%|███████▏ | 20/28 [00:08<00:03, 2.37it/s]
75%|███████▌ | 21/28 [00:09<00:02, 2.41it/s]
79%|███████▊ | 22/28 [00:09<00:02, 2.34it/s]
82%|████████▏ | 23/28 [00:10<00:02, 2.35it/s]
86%|████████▌ | 24/28 [00:10<00:01, 2.40it/s]
89%|████████▉ | 25/28 [00:10<00:01, 2.49it/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, 2.41it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.