Sexy Dancer Outfit with Otoko No Ko
Input
prompt
Specify things to see in the output
coolidge, 1girl, (dark skinned female:1.3), revealing clothes, tiara, pointy ears, hair over one eye, purple eyes, long hair, jewelry, heavy golden armor, bracelet, standing, cute pose, big smile, <lora:FaceBeauty_qinglong_V3:1.5>,
negative_prompt
Specify things to not see in the output
(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
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3795721554
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 2M SDE Karras
samping_steps
Number of denoising steps
50
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
Finished in 220.4 seconds
Setting up the model...
Processing...
Full prompt: coolidge, 1girl, (dark skinned female:1.3), revealing clothes, tiara, pointy ears, hair over one eye, purple eyes, long hair, jewelry, heavy golden armor, bracelet, standing, cute pose, big smile, <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
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Decoding latents in cuda:0...
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0: 640x640 1 face, 8.0ms
Speed: 4.9ms preprocess, 8.0ms inference, 26.7ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 hand, 7.5ms
Speed: 3.1ms preprocess, 7.5ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.6ms
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0: 640x640 2 hands, 7.6ms
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Finished.
prompt
Specify things to see in the output
coolidge, 1girl, (dark skinned female:1.3), revealing clothes, tiara, pointy ears, hair over one eye, purple eyes, long hair, jewelry, heavy golden armor, bracelet, standing, cute pose, big smile, <lora:FaceBeauty_qinglong_V3:1.5>,
negative_prompt
Specify things to not see in the output
(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
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3795721554
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 2M SDE Karras
samping_steps
Number of denoising steps
50
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Finished in 220.4 seconds
Setting up the model...
Processing...
Full prompt: coolidge, 1girl, (dark skinned female:1.3), revealing clothes, tiara, pointy ears, hair over one eye, purple eyes, long hair, jewelry, heavy golden armor, bracelet, standing, cute pose, big smile, <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
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70%|███████ | 35/50 [01:00<00:24, 1.61s/it]
72%|███████▏ | 36/50 [01:01<00:21, 1.53s/it]
74%|███████▍ | 37/50 [01:02<00:19, 1.47s/it]
76%|███████▌ | 38/50 [01:04<00:17, 1.44s/it]
78%|███████▊ | 39/50 [01:05<00:16, 1.51s/it]
80%|████████ | 40/50 [01:07<00:14, 1.49s/it]
82%|████████▏ | 41/50 [01:09<00:14, 1.57s/it]
84%|████████▍ | 42/50 [01:10<00:12, 1.52s/it]
86%|████████▌ | 43/50 [01:12<00:10, 1.50s/it]
88%|████████▊ | 44/50 [01:13<00:09, 1.56s/it]
90%|█████████ | 45/50 [01:15<00:07, 1.53s/it]
92%|█████████▏| 46/50 [01:16<00:05, 1.48s/it]
94%|█████████▍| 47/50 [01:17<00:04, 1.42s/it]
96%|█████████▌| 48/50 [01:19<00:02, 1.42s/it]
98%|█████████▊| 49/50 [01:20<00:01, 1.22s/it]
100%|██████████| 50/50 [01:20<00:00, 1.04s/it]
100%|██████████| 50/50 [01:20<00:00, 1.61s/it]
Decoding latents in cuda:0...
done in 0.95s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 8.0ms
Speed: 4.9ms preprocess, 8.0ms inference, 26.7ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/28 [00:00<?, ?it/s]
4%|▎ | 1/28 [00:00<00:15, 1.78it/s]
7%|▋ | 2/28 [00:00<00:12, 2.07it/s]
11%|█ | 3/28 [00:01<00:10, 2.36it/s]
14%|█▍ | 4/28 [00:01<00:09, 2.43it/s]
18%|█▊ | 5/28 [00:02<00:09, 2.50it/s]
21%|██▏ | 6/28 [00:02<00:08, 2.44it/s]
25%|██▌ | 7/28 [00:02<00:08, 2.48it/s]
29%|██▊ | 8/28 [00:03<00:08, 2.38it/s]
32%|███▏ | 9/28 [00:03<00:07, 2.51it/s]
36%|███▌ | 10/28 [00:04<00:06, 2.61it/s]
39%|███▉ | 11/28 [00:04<00:06, 2.57it/s]
43%|████▎ | 12/28 [00:04<00:06, 2.63it/s]
46%|████▋ | 13/28 [00:05<00:05, 2.61it/s]
50%|█████ | 14/28 [00:05<00:05, 2.76it/s]
54%|█████▎ | 15/28 [00:05<00:04, 2.88it/s]
57%|█████▋ | 16/28 [00:06<00:04, 2.94it/s]
61%|██████ | 17/28 [00:06<00:03, 2.81it/s]
64%|██████▍ | 18/28 [00:06<00:03, 2.83it/s]
68%|██████▊ | 19/28 [00:07<00:03, 2.65it/s]
71%|███████▏ | 20/28 [00:07<00:02, 2.73it/s]
75%|███████▌ | 21/28 [00:08<00:02, 2.79it/s]
79%|███████▊ | 22/28 [00:08<00:02, 2.69it/s]
82%|████████▏ | 23/28 [00:08<00:01, 2.74it/s]
86%|████████▌ | 24/28 [00:09<00:01, 2.83it/s]
89%|████████▉ | 25/28 [00:09<00:01, 2.92it/s]
93%|█████████▎| 26/28 [00:09<00:00, 2.93it/s]
96%|█████████▋| 27/28 [00:09<00:00, 3.43it/s]
100%|██████████| 28/28 [00:10<00:00, 4.05it/s]
100%|██████████| 28/28 [00:10<00:00, 2.77it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.5ms
Speed: 3.1ms preprocess, 7.5ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/28 [00:00<?, ?it/s]
4%|▎ | 1/28 [00:00<00:10, 2.47it/s]
7%|▋ | 2/28 [00:00<00:10, 2.37it/s]
11%|█ | 3/28 [00:01<00:09, 2.55it/s]
14%|█▍ | 4/28 [00:01<00:09, 2.54it/s]
18%|█▊ | 5/28 [00:01<00:08, 2.56it/s]
21%|██▏ | 6/28 [00:02<00:08, 2.46it/s]
25%|██▌ | 7/28 [00:02<00:08, 2.46it/s]
29%|██▊ | 8/28 [00:03<00:08, 2.36it/s]
32%|███▏ | 9/28 [00:03<00:07, 2.45it/s]
36%|███▌ | 10/28 [00:04<00:07, 2.55it/s]
39%|███▉ | 11/28 [00:04<00:06, 2.50it/s]
43%|████▎ | 12/28 [00:04<00:06, 2.57it/s]
46%|████▋ | 13/28 [00:05<00:05, 2.57it/s]
50%|█████ | 14/28 [00:05<00:05, 2.73it/s]
54%|█████▎ | 15/28 [00:05<00:04, 2.84it/s]
57%|█████▋ | 16/28 [00:06<00:04, 2.88it/s]
61%|██████ | 17/28 [00:06<00:04, 2.74it/s]
64%|██████▍ | 18/28 [00:06<00:03, 2.76it/s]
68%|██████▊ | 19/28 [00:07<00:03, 2.63it/s]
71%|███████▏ | 20/28 [00:07<00:02, 2.70it/s]
75%|███████▌ | 21/28 [00:08<00:02, 2.75it/s]
79%|███████▊ | 22/28 [00:08<00:02, 2.65it/s]
82%|████████▏ | 23/28 [00:08<00:01, 2.68it/s]
86%|████████▌ | 24/28 [00:09<00:01, 2.79it/s]
89%|████████▉ | 25/28 [00:09<00:01, 2.93it/s]
93%|█████████▎| 26/28 [00:09<00:00, 2.93it/s]
96%|█████████▋| 27/28 [00:09<00:00, 3.44it/s]
100%|██████████| 28/28 [00:10<00:00, 4.07it/s]
100%|██████████| 28/28 [00:10<00:00, 2.78it/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: 3.1ms preprocess, 7.6ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/28 [00:00<?, ?it/s]
4%|▎ | 1/28 [00:00<00:10, 2.60it/s]
7%|▋ | 2/28 [00:00<00:10, 2.41it/s]
11%|█ | 3/28 [00:01<00:09, 2.59it/s]
14%|█▍ | 4/28 [00:01<00:09, 2.55it/s]
18%|█▊ | 5/28 [00:01<00:08, 2.58it/s]
21%|██▏ | 6/28 [00:02<00:08, 2.48it/s]
25%|██▌ | 7/28 [00:02<00:08, 2.48it/s]
29%|██▊ | 8/28 [00:03<00:08, 2.38it/s]
32%|███▏ | 9/28 [00:03<00:07, 2.51it/s]
36%|███▌ | 10/28 [00:03<00:06, 2.59it/s]
39%|███▉ | 11/28 [00:04<00:06, 2.55it/s]
43%|████▎ | 12/28 [00:04<00:06, 2.62it/s]
46%|████▋ | 13/28 [00:05<00:05, 2.60it/s]
50%|█████ | 14/28 [00:05<00:05, 2.74it/s]
54%|█████▎ | 15/28 [00:05<00:04, 2.85it/s]
57%|█████▋ | 16/28 [00:06<00:04, 2.89it/s]
61%|██████ | 17/28 [00:06<00:03, 2.77it/s]
64%|██████▍ | 18/28 [00:06<00:03, 2.79it/s]
68%|██████▊ | 19/28 [00:07<00:03, 2.66it/s]
71%|███████▏ | 20/28 [00:07<00:02, 2.74it/s]
75%|███████▌ | 21/28 [00:07<00:02, 2.79it/s]
79%|███████▊ | 22/28 [00:08<00:02, 2.68it/s]
82%|████████▏ | 23/28 [00:08<00:01, 2.73it/s]
86%|████████▌ | 24/28 [00:09<00:01, 2.83it/s]
89%|████████▉ | 25/28 [00:09<00:01, 2.96it/s]
93%|█████████▎| 26/28 [00:09<00:00, 2.95it/s]
96%|█████████▋| 27/28 [00:09<00:00, 3.46it/s]
100%|██████████| 28/28 [00:09<00:00, 4.07it/s]
100%|██████████| 28/28 [00:09<00:00, 2.81it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 3 hands, 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<00:10, 2.62it/s]
7%|▋ | 2/28 [00:00<00:10, 2.41it/s]
11%|█ | 3/28 [00:01<00:09, 2.60it/s]
14%|█▍ | 4/28 [00:01<00:09, 2.56it/s]
18%|█▊ | 5/28 [00:01<00:08, 2.58it/s]
21%|██▏ | 6/28 [00:02<00:08, 2.50it/s]
25%|██▌ | 7/28 [00:02<00:08, 2.50it/s]
29%|██▊ | 8/28 [00:03<00:08, 2.39it/s]
32%|███▏ | 9/28 [00:03<00:07, 2.50it/s]
36%|███▌ | 10/28 [00:03<00:06, 2.60it/s]
39%|███▉ | 11/28 [00:04<00:06, 2.56it/s]
43%|████▎ | 12/28 [00:04<00:06, 2.62it/s]
46%|████▋ | 13/28 [00:05<00:05, 2.61it/s]
50%|█████ | 14/28 [00:05<00:05, 2.75it/s]
54%|█████▎ | 15/28 [00:05<00:04, 2.86it/s]
57%|█████▋ | 16/28 [00:06<00:04, 2.90it/s]
61%|██████ | 17/28 [00:06<00:03, 2.78it/s]
64%|██████▍ | 18/28 [00:06<00:03, 2.80it/s]
68%|██████▊ | 19/28 [00:07<00:03, 2.67it/s]
71%|███████▏ | 20/28 [00:07<00:02, 2.74it/s]
75%|███████▌ | 21/28 [00:07<00:02, 2.78it/s]
79%|███████▊ | 22/28 [00:08<00:02, 2.67it/s]
82%|████████▏ | 23/28 [00:08<00:01, 2.72it/s]
86%|████████▌ | 24/28 [00:08<00:01, 2.84it/s]
89%|████████▉ | 25/28 [00:09<00:01, 2.91it/s]
93%|█████████▎| 26/28 [00:09<00:00, 2.92it/s]
96%|█████████▋| 27/28 [00:09<00:00, 3.42it/s]
100%|██████████| 28/28 [00:09<00:00, 4.05it/s]
100%|██████████| 28/28 [00:09<00:00, 2.81it/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]
4%|▎ | 1/28 [00:00<00:10, 2.61it/s]
7%|▋ | 2/28 [00:00<00:10, 2.44it/s]
11%|█ | 3/28 [00:01<00:09, 2.61it/s]
14%|█▍ | 4/28 [00:01<00:09, 2.58it/s]
18%|█▊ | 5/28 [00:01<00:08, 2.57it/s]
21%|██▏ | 6/28 [00:02<00:08, 2.49it/s]
25%|██▌ | 7/28 [00:02<00:08, 2.50it/s]
29%|██▊ | 8/28 [00:03<00:08, 2.38it/s]
32%|███▏ | 9/28 [00:03<00:07, 2.50it/s]
36%|███▌ | 10/28 [00:03<00:06, 2.58it/s]
39%|███▉ | 11/28 [00:04<00:06, 2.54it/s]
43%|████▎ | 12/28 [00:04<00:06, 2.62it/s]
46%|████▋ | 13/28 [00:05<00:05, 2.63it/s]
50%|█████ | 14/28 [00:05<00:05, 2.77it/s]
54%|█████▎ | 15/28 [00:05<00:04, 2.89it/s]
57%|█████▋ | 16/28 [00:06<00:04, 2.94it/s]
61%|██████ | 17/28 [00:06<00:03, 2.80it/s]
64%|██████▍ | 18/28 [00:06<00:03, 2.82it/s]
68%|██████▊ | 19/28 [00:07<00:03, 2.69it/s]
71%|███████▏ | 20/28 [00:07<00:02, 2.77it/s]
75%|███████▌ | 21/28 [00:07<00:02, 2.80it/s]
79%|███████▊ | 22/28 [00:08<00:02, 2.66it/s]
82%|████████▏ | 23/28 [00:08<00:01, 2.72it/s]
86%|████████▌ | 24/28 [00:08<00:01, 2.80it/s]
89%|████████▉ | 25/28 [00:09<00:01, 2.94it/s]
93%|█████████▎| 26/28 [00:09<00:00, 2.95it/s]
96%|█████████▋| 27/28 [00:09<00:00, 3.45it/s]
100%|██████████| 28/28 [00:09<00:00, 4.08it/s]
100%|██████████| 28/28 [00:09<00:00, 2.82it/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]
4%|▎ | 1/28 [00:00<00:10, 2.54it/s]
7%|▋ | 2/28 [00:00<00:11, 2.34it/s]
11%|█ | 3/28 [00:01<00:09, 2.55it/s]
14%|█▍ | 4/28 [00:01<00:09, 2.51it/s]
18%|█▊ | 5/28 [00:01<00:09, 2.54it/s]
21%|██▏ | 6/28 [00:02<00:08, 2.47it/s]
25%|██▌ | 7/28 [00:02<00:08, 2.48it/s]
29%|██▊ | 8/28 [00:03<00:08, 2.38it/s]
32%|███▏ | 9/28 [00:03<00:07, 2.47it/s]
36%|███▌ | 10/28 [00:03<00:07, 2.57it/s]
39%|███▉ | 11/28 [00:04<00:06, 2.51it/s]
43%|████▎ | 12/28 [00:04<00:06, 2.55it/s]
46%|████▋ | 13/28 [00:05<00:05, 2.57it/s]
50%|█████ | 14/28 [00:05<00:05, 2.72it/s]
54%|█████▎ | 15/28 [00:05<00:04, 2.84it/s]
57%|█████▋ | 16/28 [00:06<00:04, 2.88it/s]
61%|██████ | 17/28 [00:06<00:03, 2.75it/s]
64%|██████▍ | 18/28 [00:06<00:03, 2.79it/s]
68%|██████▊ | 19/28 [00:07<00:03, 2.64it/s]
71%|███████▏ | 20/28 [00:07<00:02, 2.71it/s]
75%|███████▌ | 21/28 [00:08<00:02, 2.75it/s]
79%|███████▊ | 22/28 [00:08<00:02, 2.65it/s]
82%|████████▏ | 23/28 [00:08<00:01, 2.67it/s]
86%|████████▌ | 24/28 [00:09<00:01, 2.78it/s]
89%|████████▉ | 25/28 [00:09<00:01, 2.91it/s]
93%|█████████▎| 26/28 [00:09<00:00, 2.91it/s]
96%|█████████▋| 27/28 [00:09<00:00, 3.39it/s]
100%|██████████| 28/28 [00:10<00:00, 4.02it/s]
100%|██████████| 28/28 [00:10<00:00, 2.77it/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: 3.2ms preprocess, 7.9ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/28 [00:00<?, ?it/s]
4%|▎ | 1/28 [00:00<00:10, 2.57it/s]
7%|▋ | 2/28 [00:00<00:10, 2.39it/s]
11%|█ | 3/28 [00:01<00:09, 2.58it/s]
14%|█▍ | 4/28 [00:01<00:09, 2.57it/s]
18%|█▊ | 5/28 [00:01<00:08, 2.60it/s]
21%|██▏ | 6/28 [00:02<00:08, 2.51it/s]
25%|██▌ | 7/28 [00:02<00:08, 2.50it/s]
29%|██▊ | 8/28 [00:03<00:08, 2.40it/s]
32%|███▏ | 9/28 [00:03<00:07, 2.52it/s]
36%|███▌ | 10/28 [00:03<00:06, 2.59it/s]
39%|███▉ | 11/28 [00:04<00:06, 2.55it/s]
43%|████▎ | 12/28 [00:04<00:06, 2.61it/s]
46%|████▋ | 13/28 [00:05<00:05, 2.58it/s]
50%|█████ | 14/28 [00:05<00:05, 2.74it/s]
54%|█████▎ | 15/28 [00:05<00:04, 2.85it/s]
57%|█████▋ | 16/28 [00:06<00:04, 2.89it/s]
61%|██████ | 17/28 [00:06<00:03, 2.77it/s]
64%|██████▍ | 18/28 [00:06<00:03, 2.79it/s]
68%|██████▊ | 19/28 [00:07<00:03, 2.67it/s]
71%|███████▏ | 20/28 [00:07<00:02, 2.75it/s]
75%|███████▌ | 21/28 [00:07<00:02, 2.78it/s]
79%|███████▊ | 22/28 [00:08<00:02, 2.70it/s]
82%|████████▏ | 23/28 [00:08<00:01, 2.74it/s]
86%|████████▌ | 24/28 [00:09<00:01, 2.82it/s]
89%|████████▉ | 25/28 [00:09<00:01, 2.96it/s]
93%|█████████▎| 26/28 [00:09<00:00, 2.95it/s]
96%|█████████▋| 27/28 [00:09<00:00, 3.45it/s]
100%|██████████| 28/28 [00:09<00:00, 4.07it/s]
100%|██████████| 28/28 [00:09<00:00, 2.81it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.6ms
Speed: 3.1ms preprocess, 7.6ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/28 [00:00<?, ?it/s]
4%|▎ | 1/28 [00:00<00:10, 2.57it/s]
7%|▋ | 2/28 [00:00<00:10, 2.43it/s]
11%|█ | 3/28 [00:01<00:09, 2.61it/s]
14%|█▍ | 4/28 [00:01<00:09, 2.57it/s]
18%|█▊ | 5/28 [00:01<00:08, 2.60it/s]
21%|██▏ | 6/28 [00:02<00:08, 2.51it/s]
25%|██▌ | 7/28 [00:02<00:08, 2.51it/s]
29%|██▊ | 8/28 [00:03<00:08, 2.40it/s]
32%|███▏ | 9/28 [00:03<00:07, 2.52it/s]
36%|███▌ | 10/28 [00:03<00:06, 2.61it/s]
39%|███▉ | 11/28 [00:04<00:06, 2.57it/s]
43%|████▎ | 12/28 [00:04<00:06, 2.63it/s]
46%|████▋ | 13/28 [00:05<00:05, 2.59it/s]
50%|█████ | 14/28 [00:05<00:05, 2.74it/s]
54%|█████▎ | 15/28 [00:05<00:04, 2.83it/s]
57%|█████▋ | 16/28 [00:06<00:04, 2.88it/s]
61%|██████ | 17/28 [00:06<00:03, 2.77it/s]
64%|██████▍ | 18/28 [00:06<00:03, 2.80it/s]
68%|██████▊ | 19/28 [00:07<00:03, 2.67it/s]
71%|███████▏ | 20/28 [00:07<00:02, 2.75it/s]
75%|███████▌ | 21/28 [00:07<00:02, 2.80it/s]
79%|███████▊ | 22/28 [00:08<00:02, 2.70it/s]
82%|████████▏ | 23/28 [00:08<00:01, 2.74it/s]
86%|████████▌ | 24/28 [00:08<00:01, 2.84it/s]
89%|████████▉ | 25/28 [00:09<00:01, 2.97it/s]
93%|█████████▎| 26/28 [00:09<00:00, 2.96it/s]
96%|█████████▋| 27/28 [00:09<00:00, 3.47it/s]
100%|██████████| 28/28 [00:09<00:00, 4.10it/s]
100%|██████████| 28/28 [00:09<00:00, 2.82it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
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7%|▋ | 2/28 [00:00<00:10, 2.43it/s]
11%|█ | 3/28 [00:01<00:09, 2.57it/s]
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29%|██▊ | 8/28 [00:03<00:08, 2.36it/s]
32%|███▏ | 9/28 [00:03<00:07, 2.49it/s]
36%|███▌ | 10/28 [00:03<00:06, 2.57it/s]
39%|███▉ | 11/28 [00:04<00:06, 2.54it/s]
43%|████▎ | 12/28 [00:04<00:06, 2.61it/s]
46%|████▋ | 13/28 [00:05<00:05, 2.61it/s]
50%|█████ | 14/28 [00:05<00:05, 2.75it/s]
54%|█████▎ | 15/28 [00:05<00:04, 2.84it/s]
57%|█████▋ | 16/28 [00:06<00:04, 2.89it/s]
61%|██████ | 17/28 [00:06<00:03, 2.76it/s]
64%|██████▍ | 18/28 [00:06<00:03, 2.78it/s]
68%|██████▊ | 19/28 [00:07<00:03, 2.61it/s]
71%|███████▏ | 20/28 [00:07<00:02, 2.70it/s]
75%|███████▌ | 21/28 [00:07<00:02, 2.76it/s]
79%|███████▊ | 22/28 [00:08<00:02, 2.66it/s]
82%|████████▏ | 23/28 [00:08<00:01, 2.71it/s]
86%|████████▌ | 24/28 [00:09<00:01, 2.81it/s]
89%|████████▉ | 25/28 [00:09<00:01, 2.94it/s]
93%|█████████▎| 26/28 [00:09<00:00, 2.94it/s]
96%|█████████▋| 27/28 [00:09<00:00, 3.44it/s]
100%|██████████| 28/28 [00:10<00:00, 4.06it/s]
100%|██████████| 28/28 [00:10<00:00, 2.79it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 8.0ms
Speed: 2.8ms preprocess, 8.0ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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11%|█ | 3/28 [00:01<00:09, 2.64it/s]
14%|█▍ | 4/28 [00:01<00:09, 2.62it/s]
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21%|██▏ | 6/28 [00:02<00:08, 2.56it/s]
25%|██▌ | 7/28 [00:02<00:08, 2.57it/s]
29%|██▊ | 8/28 [00:03<00:08, 2.45it/s]
32%|███▏ | 9/28 [00:03<00:07, 2.56it/s]
36%|███▌ | 10/28 [00:03<00:06, 2.65it/s]
39%|███▉ | 11/28 [00:04<00:06, 2.61it/s]
43%|████▎ | 12/28 [00:04<00:06, 2.66it/s]
46%|████▋ | 13/28 [00:04<00:05, 2.66it/s]
50%|█████ | 14/28 [00:05<00:04, 2.81it/s]
54%|█████▎ | 15/28 [00:05<00:04, 2.93it/s]
57%|█████▋ | 16/28 [00:05<00:04, 2.97it/s]
61%|██████ | 17/28 [00:06<00:03, 2.84it/s]
64%|██████▍ | 18/28 [00:06<00:03, 2.87it/s]
68%|██████▊ | 19/28 [00:07<00:03, 2.73it/s]
71%|███████▏ | 20/28 [00:07<00:02, 2.81it/s]
75%|███████▌ | 21/28 [00:07<00:02, 2.84it/s]
79%|███████▊ | 22/28 [00:08<00:02, 2.75it/s]
82%|████████▏ | 23/28 [00:08<00:01, 2.77it/s]
86%|████████▌ | 24/28 [00:08<00:01, 2.88it/s]
89%|████████▉ | 25/28 [00:09<00:00, 3.01it/s]
93%|█████████▎| 26/28 [00:09<00:00, 2.95it/s]
96%|█████████▋| 27/28 [00:09<00:00, 3.44it/s]
100%|██████████| 28/28 [00:09<00:00, 4.07it/s]
100%|██████████| 28/28 [00:09<00:00, 2.87it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 8.0ms
Speed: 2.8ms preprocess, 8.0ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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7%|▋ | 2/28 [00:00<00:10, 2.43it/s]
11%|█ | 3/28 [00:01<00:09, 2.58it/s]
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21%|██▏ | 6/28 [00:02<00:08, 2.49it/s]
25%|██▌ | 7/28 [00:02<00:08, 2.50it/s]
29%|██▊ | 8/28 [00:03<00:08, 2.35it/s]
32%|███▏ | 9/28 [00:03<00:07, 2.46it/s]
36%|███▌ | 10/28 [00:04<00:07, 2.49it/s]
39%|███▉ | 11/28 [00:04<00:06, 2.47it/s]
43%|████▎ | 12/28 [00:04<00:06, 2.55it/s]
46%|████▋ | 13/28 [00:05<00:05, 2.57it/s]
50%|█████ | 14/28 [00:05<00:05, 2.71it/s]
54%|█████▎ | 15/28 [00:05<00:04, 2.83it/s]
57%|█████▋ | 16/28 [00:06<00:04, 2.88it/s]
61%|██████ | 17/28 [00:06<00:04, 2.74it/s]
64%|██████▍ | 18/28 [00:06<00:03, 2.75it/s]
68%|██████▊ | 19/28 [00:07<00:03, 2.63it/s]
71%|███████▏ | 20/28 [00:07<00:02, 2.71it/s]
75%|███████▌ | 21/28 [00:08<00:02, 2.76it/s]
79%|███████▊ | 22/28 [00:08<00:02, 2.66it/s]
82%|████████▏ | 23/28 [00:08<00:01, 2.72it/s]
86%|████████▌ | 24/28 [00:09<00:01, 2.80it/s]
89%|████████▉ | 25/28 [00:09<00:01, 2.94it/s]
93%|█████████▎| 26/28 [00:09<00:00, 2.94it/s]
96%|█████████▋| 27/28 [00:09<00:00, 3.44it/s]
100%|██████████| 28/28 [00:10<00:00, 4.07it/s]
100%|██████████| 28/28 [00:10<00:00, 2.78it/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]
4%|▎ | 1/28 [00:00<00:10, 2.60it/s]
7%|▋ | 2/28 [00:00<00:10, 2.43it/s]
11%|█ | 3/28 [00:01<00:09, 2.60it/s]
14%|█▍ | 4/28 [00:01<00:09, 2.56it/s]
18%|█▊ | 5/28 [00:01<00:08, 2.58it/s]
21%|██▏ | 6/28 [00:02<00:08, 2.49it/s]
25%|██▌ | 7/28 [00:02<00:08, 2.45it/s]
29%|██▊ | 8/28 [00:03<00:08, 2.34it/s]
32%|███▏ | 9/28 [00:03<00:07, 2.43it/s]
36%|███▌ | 10/28 [00:04<00:07, 2.53it/s]
39%|███▉ | 11/28 [00:04<00:06, 2.51it/s]
43%|████▎ | 12/28 [00:04<00:06, 2.55it/s]
46%|████▋ | 13/28 [00:05<00:05, 2.57it/s]
50%|█████ | 14/28 [00:05<00:05, 2.72it/s]
54%|█████▎ | 15/28 [00:05<00:04, 2.80it/s]
57%|█████▋ | 16/28 [00:06<00:04, 2.87it/s]
61%|██████ | 17/28 [00:06<00:04, 2.72it/s]
64%|██████▍ | 18/28 [00:06<00:03, 2.75it/s]
68%|██████▊ | 19/28 [00:07<00:03, 2.62it/s]
71%|███████▏ | 20/28 [00:07<00:02, 2.67it/s]
75%|███████▌ | 21/28 [00:08<00:02, 2.73it/s]
79%|███████▊ | 22/28 [00:08<00:02, 2.65it/s]
82%|████████▏ | 23/28 [00:08<00:01, 2.70it/s]
86%|████████▌ | 24/28 [00:09<00:01, 2.80it/s]
89%|████████▉ | 25/28 [00:09<00:01, 2.94it/s]
93%|█████████▎| 26/28 [00:09<00:00, 2.90it/s]
96%|█████████▋| 27/28 [00:09<00:00, 3.39it/s]
100%|██████████| 28/28 [00:10<00:00, 4.02it/s]
100%|██████████| 28/28 [00:10<00:00, 2.77it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
Finished.