Girls Having Dinner with Komorebi Mix
Input
prompt
Specify things to see in the output
female fifty-something, sculpted, polynesian, black eyes, downturned ears, wide chin, oblong face shape, sculpted ankles, dark brown bob cut hair, admiration wearing embroidered hipster, full cup bra, hair toss, tossing hair back, creating a dramatic and enticing effect, candlelit dinner, the glow of candles during a romantic dinner, creating an intimate and passionate atmosphere, a peaceful lakeside retreat, with serene waters and people enjoying recreational activities
negative_prompt
Specify things to not see in the output
more than 2 legs, more than 2 arms, (worst quality, low quality:1.4), (long body, fat), realistic, lip, film grain, text, title, logo, signature, (multicolored hair), monochrome, bad-hands-5, bad-image-v2-39000
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
0.45
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.
1298060755
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 Karras
samping_steps
Number of denoising steps
39
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
kl-f8-anime2_fp16.safetensors
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 114.2 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: female fifty-something, sculpted, polynesian, black eyes, downturned ears, wide chin, oblong face shape, sculpted ankles, dark brown bob cut hair, admiration wearing embroidered hipster, full cup bra, hair toss, tossing hair back, creating a dramatic and enticing effect, candlelit dinner, the glow of candles during a romantic dinner, creating an intimate and passionate atmosphere, a peaceful lakeside retreat, with serene waters and people enjoying recreational activities
Full negative prompt: more than 2 legs, more than 2 arms, (worst quality, low quality:1.4), (long body, fat), realistic, lip, film grain, text, title, logo, signature, (multicolored hair), monochrome, bad-hands-5, bad-image-v2-39000
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Uploading outputs...
Finished.
prompt
Specify things to see in the output
female fifty-something, sculpted, polynesian, black eyes, downturned ears, wide chin, oblong face shape, sculpted ankles, dark brown bob cut hair, admiration wearing embroidered hipster, full cup bra, hair toss, tossing hair back, creating a dramatic and enticing effect, candlelit dinner, the glow of candles during a romantic dinner, creating an intimate and passionate atmosphere, a peaceful lakeside retreat, with serene waters and people enjoying recreational activities
negative_prompt
Specify things to not see in the output
more than 2 legs, more than 2 arms, (worst quality, low quality:1.4), (long body, fat), realistic, lip, film grain, text, title, logo, signature, (multicolored hair), monochrome, bad-hands-5, bad-image-v2-39000
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
0.45
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.
1298060755
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 Karras
samping_steps
Number of denoising steps
39
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
kl-f8-anime2_fp16.safetensors
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 114.2 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: female fifty-something, sculpted, polynesian, black eyes, downturned ears, wide chin, oblong face shape, sculpted ankles, dark brown bob cut hair, admiration wearing embroidered hipster, full cup bra, hair toss, tossing hair back, creating a dramatic and enticing effect, candlelit dinner, the glow of candles during a romantic dinner, creating an intimate and passionate atmosphere, a peaceful lakeside retreat, with serene waters and people enjoying recreational activities
Full negative prompt: more than 2 legs, more than 2 arms, (worst quality, low quality:1.4), (long body, fat), realistic, lip, film grain, text, title, logo, signature, (multicolored hair), monochrome, bad-hands-5, bad-image-v2-39000
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41%|████ | 16/39 [00:10<00:14, 1.56it/s]
44%|████▎ | 17/39 [00:10<00:14, 1.56it/s]
46%|████▌ | 18/39 [00:11<00:13, 1.56it/s]
49%|████▊ | 19/39 [00:12<00:12, 1.56it/s]
51%|█████▏ | 20/39 [00:12<00:12, 1.56it/s]
54%|█████▍ | 21/39 [00:13<00:11, 1.56it/s]
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59%|█████▉ | 23/39 [00:14<00:10, 1.57it/s]
62%|██████▏ | 24/39 [00:15<00:09, 1.57it/s]
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67%|██████▋ | 26/39 [00:16<00:08, 1.57it/s]
69%|██████▉ | 27/39 [00:17<00:07, 1.57it/s]
72%|███████▏ | 28/39 [00:17<00:07, 1.57it/s]
74%|███████▍ | 29/39 [00:18<00:06, 1.57it/s]
77%|███████▋ | 30/39 [00:19<00:05, 1.57it/s]
79%|███████▉ | 31/39 [00:19<00:05, 1.57it/s]
82%|████████▏ | 32/39 [00:20<00:04, 1.57it/s]
85%|████████▍ | 33/39 [00:21<00:03, 1.57it/s]
87%|████████▋ | 34/39 [00:21<00:03, 1.57it/s]
90%|████████▉ | 35/39 [00:22<00:02, 1.57it/s]
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Decoding latents in cuda:0...
done in 0.96s
Move latents to cpu...
done in 0.02s
0: 640x640 2 faces, 7.8ms
Speed: 2.9ms preprocess, 7.8ms inference, 32.3ms postprocess per image at shape (1, 3, 640, 640)
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11%|█ | 2/18 [00:00<00:04, 3.51it/s]
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28%|██▊ | 5/18 [00:01<00:02, 4.62it/s]
33%|███▎ | 6/18 [00:01<00:02, 4.73it/s]
39%|███▉ | 7/18 [00:01<00:02, 4.78it/s]
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56%|█████▌ | 10/18 [00:02<00:01, 4.93it/s]
61%|██████ | 11/18 [00:02<00:01, 4.96it/s]
67%|██████▋ | 12/18 [00:02<00:01, 5.00it/s]
72%|███████▏ | 13/18 [00:02<00:00, 5.03it/s]
78%|███████▊ | 14/18 [00:02<00:00, 5.05it/s]
83%|████████▎ | 15/18 [00:03<00:00, 5.07it/s]
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100%|██████████| 18/18 [00:03<00:00, 4.76it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
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39%|███▉ | 7/18 [00:01<00:02, 5.02it/s]
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56%|█████▌ | 10/18 [00:01<00:01, 5.04it/s]
61%|██████ | 11/18 [00:02<00:01, 5.07it/s]
67%|██████▋ | 12/18 [00:02<00:01, 5.06it/s]
72%|███████▏ | 13/18 [00:02<00:00, 5.06it/s]
78%|███████▊ | 14/18 [00:02<00:00, 5.06it/s]
83%|████████▎ | 15/18 [00:02<00:00, 5.05it/s]
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100%|██████████| 18/18 [00:03<00:00, 5.04it/s]
100%|██████████| 18/18 [00:03<00:00, 5.04it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 4 hands, 7.0ms
Speed: 2.9ms preprocess, 7.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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39%|███▉ | 7/18 [00:01<00:02, 5.11it/s]
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61%|██████ | 11/18 [00:02<00:01, 5.06it/s]
67%|██████▋ | 12/18 [00:02<00:01, 5.09it/s]
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78%|███████▊ | 14/18 [00:02<00:00, 5.14it/s]
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100%|██████████| 18/18 [00:03<00:00, 5.10it/s]
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
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61%|██████ | 11/18 [00:02<00:01, 5.08it/s]
67%|██████▋ | 12/18 [00:02<00:01, 5.09it/s]
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83%|████████▎ | 15/18 [00:02<00:00, 5.08it/s]
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100%|██████████| 18/18 [00:03<00:00, 5.05it/s]
100%|██████████| 18/18 [00:03<00:00, 5.08it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
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56%|█████▌ | 10/18 [00:01<00:01, 5.06it/s]
61%|██████ | 11/18 [00:02<00:01, 5.06it/s]
67%|██████▋ | 12/18 [00:02<00:01, 5.05it/s]
72%|███████▏ | 13/18 [00:02<00:00, 5.07it/s]
78%|███████▊ | 14/18 [00:02<00:00, 5.05it/s]
83%|████████▎ | 15/18 [00:02<00:00, 5.04it/s]
89%|████████▉ | 16/18 [00:03<00:00, 5.05it/s]
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100%|██████████| 18/18 [00:03<00:00, 5.07it/s]
100%|██████████| 18/18 [00:03<00:00, 5.06it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
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11%|█ | 2/18 [00:00<00:03, 5.09it/s]
17%|█▋ | 3/18 [00:00<00:02, 5.07it/s]
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28%|██▊ | 5/18 [00:00<00:02, 5.02it/s]
33%|███▎ | 6/18 [00:01<00:02, 5.02it/s]
39%|███▉ | 7/18 [00:01<00:02, 5.04it/s]
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50%|█████ | 9/18 [00:01<00:01, 5.06it/s]
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61%|██████ | 11/18 [00:02<00:01, 5.05it/s]
67%|██████▋ | 12/18 [00:02<00:01, 5.06it/s]
72%|███████▏ | 13/18 [00:02<00:00, 5.05it/s]
78%|███████▊ | 14/18 [00:02<00:00, 5.03it/s]
83%|████████▎ | 15/18 [00:02<00:00, 5.06it/s]
89%|████████▉ | 16/18 [00:03<00:00, 5.09it/s]
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100%|██████████| 18/18 [00:03<00:00, 5.13it/s]
100%|██████████| 18/18 [00:03<00:00, 5.07it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 2 faces, 7.2ms
Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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28%|██▊ | 5/18 [00:00<00:02, 5.03it/s]
33%|███▎ | 6/18 [00:01<00:02, 4.99it/s]
39%|███▉ | 7/18 [00:01<00:02, 4.96it/s]
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50%|█████ | 9/18 [00:01<00:01, 5.01it/s]
56%|█████▌ | 10/18 [00:01<00:01, 5.05it/s]
61%|██████ | 11/18 [00:02<00:01, 5.07it/s]
67%|██████▋ | 12/18 [00:02<00:01, 5.07it/s]
72%|███████▏ | 13/18 [00:02<00:00, 5.08it/s]
78%|███████▊ | 14/18 [00:02<00:00, 5.04it/s]
83%|████████▎ | 15/18 [00:02<00:00, 5.02it/s]
89%|████████▉ | 16/18 [00:03<00:00, 5.03it/s]
94%|█████████▍| 17/18 [00:03<00:00, 5.04it/s]
100%|██████████| 18/18 [00:03<00:00, 5.01it/s]
100%|██████████| 18/18 [00:03<00:00, 5.04it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0%| | 0/18 [00:00<?, ?it/s]
6%|▌ | 1/18 [00:00<00:03, 4.94it/s]
11%|█ | 2/18 [00:00<00:03, 4.99it/s]
17%|█▋ | 3/18 [00:00<00:03, 4.97it/s]
22%|██▏ | 4/18 [00:00<00:02, 5.01it/s]
28%|██▊ | 5/18 [00:00<00:02, 5.04it/s]
33%|███▎ | 6/18 [00:01<00:02, 4.98it/s]
39%|███▉ | 7/18 [00:01<00:02, 5.00it/s]
44%|████▍ | 8/18 [00:01<00:01, 5.02it/s]
50%|█████ | 9/18 [00:01<00:01, 4.99it/s]
56%|█████▌ | 10/18 [00:01<00:01, 5.01it/s]
61%|██████ | 11/18 [00:02<00:01, 5.04it/s]
67%|██████▋ | 12/18 [00:02<00:01, 5.05it/s]
72%|███████▏ | 13/18 [00:02<00:00, 5.06it/s]
78%|███████▊ | 14/18 [00:02<00:00, 4.85it/s]
83%|████████▎ | 15/18 [00:03<00:00, 4.85it/s]
89%|████████▉ | 16/18 [00:03<00:00, 4.90it/s]
94%|█████████▍| 17/18 [00:03<00:00, 4.94it/s]
100%|██████████| 18/18 [00:03<00:00, 5.00it/s]
100%|██████████| 18/18 [00:03<00:00, 4.98it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 8.0ms
Speed: 2.9ms preprocess, 8.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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22%|██▏ | 4/18 [00:00<00:02, 4.94it/s]
28%|██▊ | 5/18 [00:01<00:02, 4.92it/s]
33%|███▎ | 6/18 [00:01<00:02, 4.97it/s]
39%|███▉ | 7/18 [00:01<00:02, 4.97it/s]
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50%|█████ | 9/18 [00:01<00:01, 4.98it/s]
56%|█████▌ | 10/18 [00:02<00:01, 4.97it/s]
61%|██████ | 11/18 [00:02<00:01, 4.95it/s]
67%|██████▋ | 12/18 [00:02<00:01, 4.93it/s]
72%|███████▏ | 13/18 [00:02<00:01, 4.95it/s]
78%|███████▊ | 14/18 [00:02<00:00, 4.97it/s]
83%|████████▎ | 15/18 [00:03<00:00, 5.01it/s]
89%|████████▉ | 16/18 [00:03<00:00, 5.05it/s]
94%|█████████▍| 17/18 [00:03<00:00, 5.06it/s]
100%|██████████| 18/18 [00:03<00:00, 5.05it/s]
100%|██████████| 18/18 [00:03<00:00, 4.99it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0%| | 0/18 [00:00<?, ?it/s]
6%|▌ | 1/18 [00:00<00:03, 4.68it/s]
11%|█ | 2/18 [00:00<00:03, 4.92it/s]
17%|█▋ | 3/18 [00:00<00:02, 5.00it/s]
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28%|██▊ | 5/18 [00:01<00:02, 5.03it/s]
33%|███▎ | 6/18 [00:01<00:02, 5.05it/s]
39%|███▉ | 7/18 [00:01<00:02, 5.05it/s]
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50%|█████ | 9/18 [00:01<00:01, 5.09it/s]
56%|█████▌ | 10/18 [00:01<00:01, 5.09it/s]
61%|██████ | 11/18 [00:02<00:01, 5.07it/s]
67%|██████▋ | 12/18 [00:02<00:01, 5.07it/s]
72%|███████▏ | 13/18 [00:02<00:00, 5.09it/s]
78%|███████▊ | 14/18 [00:02<00:00, 5.04it/s]
83%|████████▎ | 15/18 [00:02<00:00, 5.06it/s]
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100%|██████████| 18/18 [00:03<00:00, 4.99it/s]
100%|██████████| 18/18 [00:03<00:00, 5.03it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 2 faces, 7.0ms
Speed: 2.6ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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28%|██▊ | 5/18 [00:00<00:02, 5.04it/s]
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39%|███▉ | 7/18 [00:01<00:02, 4.93it/s]
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50%|█████ | 9/18 [00:01<00:01, 4.89it/s]
56%|█████▌ | 10/18 [00:02<00:01, 4.94it/s]
61%|██████ | 11/18 [00:02<00:01, 4.97it/s]
67%|██████▋ | 12/18 [00:02<00:01, 5.01it/s]
72%|███████▏ | 13/18 [00:02<00:00, 5.05it/s]
78%|███████▊ | 14/18 [00:02<00:00, 5.04it/s]
83%|████████▎ | 15/18 [00:02<00:00, 5.08it/s]
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100%|██████████| 18/18 [00:03<00:00, 5.05it/s]
100%|██████████| 18/18 [00:03<00:00, 5.01it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
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50%|█████ | 9/18 [00:01<00:01, 5.11it/s]
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61%|██████ | 11/18 [00:02<00:01, 5.05it/s]
67%|██████▋ | 12/18 [00:02<00:01, 5.03it/s]
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 6.6ms
Speed: 2.6ms preprocess, 6.6ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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61%|██████ | 11/18 [00:02<00:01, 5.12it/s]
67%|██████▋ | 12/18 [00:02<00:01, 5.16it/s]
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Decoding latents in cuda:0...
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61%|██████ | 11/18 [00:02<00:01, 5.07it/s]
67%|██████▋ | 12/18 [00:02<00:01, 5.07it/s]
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 3 faces, 7.1ms
Speed: 2.9ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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61%|██████ | 11/18 [00:02<00:01, 5.06it/s]
67%|██████▋ | 12/18 [00:02<00:01, 5.08it/s]
72%|███████▏ | 13/18 [00:02<00:00, 5.09it/s]
78%|███████▊ | 14/18 [00:02<00:00, 5.00it/s]
83%|████████▎ | 15/18 [00:02<00:00, 5.01it/s]
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100%|██████████| 18/18 [00:03<00:00, 5.09it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
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39%|███▉ | 7/18 [00:01<00:02, 5.09it/s]
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50%|█████ | 9/18 [00:01<00:01, 4.99it/s]
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61%|██████ | 11/18 [00:02<00:01, 5.03it/s]
67%|██████▋ | 12/18 [00:02<00:01, 5.08it/s]
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78%|███████▊ | 14/18 [00:02<00:00, 5.10it/s]
83%|████████▎ | 15/18 [00:02<00:00, 5.12it/s]
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100%|██████████| 18/18 [00:03<00:00, 5.04it/s]
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 6.7ms
Speed: 2.7ms preprocess, 6.7ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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67%|██████▋ | 12/18 [00:02<00:01, 5.04it/s]
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78%|███████▊ | 14/18 [00:02<00:00, 5.04it/s]
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100%|██████████| 18/18 [00:03<00:00, 5.04it/s]
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
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61%|██████ | 11/18 [00:02<00:01, 5.05it/s]
67%|██████▋ | 12/18 [00:02<00:01, 5.02it/s]
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100%|██████████| 18/18 [00:03<00:00, 5.01it/s]
100%|██████████| 18/18 [00:03<00:00, 5.02it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.