Students Playing Football with Komorebi Mix
Input
prompt
Specify things to see in the output
10+ students playing football, sporty clothes, in a japanese highschool, sunset, happy, 10 boys, 10 girls
negative_prompt
Specify things to not see in the output
schoolgirl outfit, sailor outfit, 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 203.5 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: 10+ students playing football, sporty clothes, in a japanese highschool, sunset, happy, 10 boys, 10 girls
Full negative prompt: schoolgirl outfit, sailor outfit, 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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0: 640x640 11 faces, 7.3ms
Speed: 3.1ms preprocess, 7.3ms inference, 30.6ms postprocess per image at shape (1, 3, 640, 640)
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61%|██████ | 11/18 [00:01<00:01, 6.51it/s]
67%|██████▋ | 12/18 [00:01<00:00, 6.44it/s]
72%|███████▏ | 13/18 [00:02<00:00, 6.43it/s]
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83%|████████▎ | 15/18 [00:02<00:00, 6.48it/s]
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Decoding latents in cuda:0...
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61%|██████ | 11/18 [00:01<00:01, 6.52it/s]
67%|██████▋ | 12/18 [00:01<00:00, 6.46it/s]
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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, 7.3ms
Speed: 3.0ms preprocess, 7.3ms 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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Move latents to cpu...
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Decoding latents in cuda:0...
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83%|████████▎ | 15/18 [00:02<00:00, 6.51it/s]
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 4 faces, 8.6ms
Speed: 2.7ms preprocess, 8.6ms 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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Move latents to cpu...
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67%|██████▋ | 12/18 [00:01<00:00, 6.46it/s]
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100%|██████████| 18/18 [00:02<00:00, 6.51it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
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11%|█ | 2/18 [00:00<00:02, 6.66it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
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67%|██████▋ | 12/18 [00:01<00:00, 6.40it/s]
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 5 hands, 7.3ms
Speed: 2.9ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 18/18 [00:03<00:00, 6.02it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
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Move latents to cpu...
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Decoding latents in cuda:0...
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Move latents to cpu...
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67%|██████▋ | 12/18 [00:01<00:00, 6.35it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
done in 0.0s
0: 640x640 11 faces, 7.4ms
Speed: 2.7ms preprocess, 7.4ms 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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Decoding latents in cuda:0...
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Move latents to cpu...
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Decoding latents in cuda:0...
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Move latents to cpu...
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
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Move latents to cpu...
done in 0.0s
0: 640x640 4 hands, 7.1ms
Speed: 3.0ms preprocess, 7.1ms 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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67%|██████▋ | 12/18 [00:01<00:00, 6.41it/s]
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
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Move latents to cpu...
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0: 640x640 9 faces, 7.4ms
Speed: 2.7ms preprocess, 7.4ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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67%|██████▋ | 12/18 [00:01<00:00, 6.44it/s]
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
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Move latents to cpu...
done in 0.0s
0: 640x640 3 hands, 7.4ms
Speed: 2.8ms preprocess, 7.4ms inference, 1.8ms 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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Uploading outputs...
Finished.
prompt
Specify things to see in the output
10+ students playing football, sporty clothes, in a japanese highschool, sunset, happy, 10 boys, 10 girls
negative_prompt
Specify things to not see in the output
schoolgirl outfit, sailor outfit, 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 203.5 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: 10+ students playing football, sporty clothes, in a japanese highschool, sunset, happy, 10 boys, 10 girls
Full negative prompt: schoolgirl outfit, sailor outfit, 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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0: 640x640 11 faces, 7.3ms
Speed: 3.1ms preprocess, 7.3ms inference, 30.6ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 18/18 [00:03<00:00, 6.30it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
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61%|██████ | 11/18 [00:01<00:01, 6.48it/s]
67%|██████▋ | 12/18 [00:01<00:00, 6.43it/s]
72%|███████▏ | 13/18 [00:02<00:00, 6.39it/s]
78%|███████▊ | 14/18 [00:02<00:00, 6.43it/s]
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
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Move latents to cpu...
done in 0.0s
0: 640x640 3 hands, 7.3ms
Speed: 3.0ms preprocess, 7.3ms 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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Move latents to cpu...
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Decoding latents in cuda:0...
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67%|██████▋ | 12/18 [00:01<00:00, 6.42it/s]
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 4 faces, 8.6ms
Speed: 2.7ms preprocess, 8.6ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 18/18 [00:02<00:00, 6.51it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
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67%|██████▋ | 12/18 [00:01<00:00, 6.46it/s]
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100%|██████████| 18/18 [00:02<00:00, 6.51it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
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61%|██████ | 11/18 [00:01<00:01, 6.51it/s]
67%|██████▋ | 12/18 [00:01<00:00, 6.43it/s]
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100%|██████████| 18/18 [00:02<00:00, 6.47it/s]
100%|██████████| 18/18 [00:02<00:00, 6.50it/s]
Decoding latents in cuda:0...
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Move latents to cpu...
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39%|███▉ | 7/18 [00:01<00:01, 6.42it/s]
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61%|██████ | 11/18 [00:01<00:01, 6.46it/s]
67%|██████▋ | 12/18 [00:01<00:00, 6.40it/s]
72%|███████▏ | 13/18 [00:02<00:00, 6.36it/s]
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100%|██████████| 18/18 [00:02<00:00, 6.43it/s]
100%|██████████| 18/18 [00:02<00:00, 6.46it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 5 hands, 7.3ms
Speed: 2.9ms preprocess, 7.3ms inference, 1.6ms 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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100%|██████████| 18/18 [00:03<00:00, 6.02it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
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100%|██████████| 18/18 [00:02<00:00, 6.44it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
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0: 640x640 11 faces, 7.4ms
Speed: 2.7ms preprocess, 7.4ms 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 4 hands, 7.1ms
Speed: 3.0ms preprocess, 7.1ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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17%|█▋ | 3/18 [00:00<00:02, 6.64it/s]
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33%|███▎ | 6/18 [00:00<00:01, 6.52it/s]
39%|███▉ | 7/18 [00:01<00:01, 6.40it/s]
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50%|█████ | 9/18 [00:01<00:01, 6.43it/s]
56%|█████▌ | 10/18 [00:01<00:01, 6.49it/s]
61%|██████ | 11/18 [00:01<00:01, 6.52it/s]
67%|██████▋ | 12/18 [00:01<00:00, 6.47it/s]
72%|███████▏ | 13/18 [00:02<00:00, 6.41it/s]
78%|███████▊ | 14/18 [00:02<00:00, 6.37it/s]
83%|████████▎ | 15/18 [00:02<00:00, 6.37it/s]
89%|████████▉ | 16/18 [00:02<00:00, 6.41it/s]
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100%|██████████| 18/18 [00:02<00:00, 6.46it/s]
100%|██████████| 18/18 [00:02<00:00, 6.48it/s]
Decoding latents in cuda:0...
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Move latents to cpu...
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11%|█ | 2/18 [00:00<00:02, 6.64it/s]
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39%|███▉ | 7/18 [00:01<00:01, 6.39it/s]
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50%|█████ | 9/18 [00:01<00:01, 6.48it/s]
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61%|██████ | 11/18 [00:01<00:01, 6.47it/s]
67%|██████▋ | 12/18 [00:01<00:00, 6.41it/s]
72%|███████▏ | 13/18 [00:02<00:00, 6.37it/s]
78%|███████▊ | 14/18 [00:02<00:00, 6.41it/s]
83%|████████▎ | 15/18 [00:02<00:00, 6.45it/s]
89%|████████▉ | 16/18 [00:02<00:00, 6.48it/s]
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100%|██████████| 18/18 [00:02<00:00, 6.39it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
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11%|█ | 2/18 [00:00<00:02, 6.64it/s]
17%|█▋ | 3/18 [00:00<00:02, 6.62it/s]
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28%|██▊ | 5/18 [00:00<00:02, 6.50it/s]
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39%|███▉ | 7/18 [00:01<00:01, 6.38it/s]
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50%|█████ | 9/18 [00:01<00:01, 6.49it/s]
56%|█████▌ | 10/18 [00:01<00:01, 6.51it/s]
61%|██████ | 11/18 [00:01<00:01, 6.47it/s]
67%|██████▋ | 12/18 [00:01<00:00, 6.39it/s]
72%|███████▏ | 13/18 [00:02<00:00, 6.36it/s]
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83%|████████▎ | 15/18 [00:02<00:00, 6.45it/s]
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100%|██████████| 18/18 [00:02<00:00, 6.42it/s]
100%|██████████| 18/18 [00:02<00:00, 6.46it/s]
Decoding latents in cuda:0...
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Move latents to cpu...
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11%|█ | 2/18 [00:00<00:02, 6.68it/s]
17%|█▋ | 3/18 [00:00<00:02, 6.64it/s]
22%|██▏ | 4/18 [00:00<00:02, 6.60it/s]
28%|██▊ | 5/18 [00:00<00:02, 6.47it/s]
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39%|███▉ | 7/18 [00:01<00:01, 6.36it/s]
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50%|█████ | 9/18 [00:01<00:01, 6.45it/s]
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61%|██████ | 11/18 [00:01<00:01, 6.46it/s]
67%|██████▋ | 12/18 [00:01<00:00, 6.42it/s]
72%|███████▏ | 13/18 [00:02<00:00, 6.39it/s]
78%|███████▊ | 14/18 [00:02<00:00, 6.42it/s]
83%|████████▎ | 15/18 [00:02<00:00, 6.46it/s]
89%|████████▉ | 16/18 [00:02<00:00, 6.47it/s]
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100%|██████████| 18/18 [00:02<00:00, 6.46it/s]
100%|██████████| 18/18 [00:02<00:00, 6.46it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 9 faces, 7.4ms
Speed: 2.7ms preprocess, 7.4ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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39%|███▉ | 7/18 [00:01<00:01, 6.44it/s]
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61%|██████ | 11/18 [00:01<00:01, 6.49it/s]
67%|██████▋ | 12/18 [00:01<00:00, 6.50it/s]
72%|███████▏ | 13/18 [00:01<00:00, 6.43it/s]
78%|███████▊ | 14/18 [00:02<00:00, 6.36it/s]
83%|████████▎ | 15/18 [00:02<00:00, 6.37it/s]
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100%|██████████| 18/18 [00:02<00:00, 6.48it/s]
100%|██████████| 18/18 [00:02<00:00, 6.49it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
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11%|█ | 2/18 [00:00<00:02, 5.99it/s]
17%|█▋ | 3/18 [00:00<00:02, 6.24it/s]
22%|██▏ | 4/18 [00:00<00:02, 6.38it/s]
28%|██▊ | 5/18 [00:00<00:02, 6.34it/s]
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61%|██████ | 11/18 [00:01<00:01, 6.44it/s]
67%|██████▋ | 12/18 [00:01<00:00, 6.37it/s]
72%|███████▏ | 13/18 [00:02<00:00, 6.37it/s]
78%|███████▊ | 14/18 [00:02<00:00, 6.43it/s]
83%|████████▎ | 15/18 [00:02<00:00, 6.47it/s]
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100%|██████████| 18/18 [00:02<00:00, 6.47it/s]
100%|██████████| 18/18 [00:02<00:00, 6.41it/s]
Decoding latents in cuda:0...
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Move latents to cpu...
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17%|█▋ | 3/18 [00:00<00:02, 6.62it/s]
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28%|██▊ | 5/18 [00:00<00:01, 6.52it/s]
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39%|███▉ | 7/18 [00:01<00:01, 6.45it/s]
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56%|█████▌ | 10/18 [00:01<00:01, 6.51it/s]
61%|██████ | 11/18 [00:01<00:01, 6.49it/s]
67%|██████▋ | 12/18 [00:01<00:00, 6.45it/s]
72%|███████▏ | 13/18 [00:01<00:00, 6.45it/s]
78%|███████▊ | 14/18 [00:02<00:00, 6.46it/s]
83%|████████▎ | 15/18 [00:02<00:00, 6.50it/s]
89%|████████▉ | 16/18 [00:02<00:00, 6.53it/s]
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100%|██████████| 18/18 [00:02<00:00, 6.44it/s]
100%|██████████| 18/18 [00:02<00:00, 6.50it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
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0%| | 0/18 [00:00<?, ?it/s]
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11%|█ | 2/18 [00:00<00:02, 6.68it/s]
17%|█▋ | 3/18 [00:00<00:02, 6.65it/s]
22%|██▏ | 4/18 [00:00<00:02, 6.62it/s]
28%|██▊ | 5/18 [00:00<00:02, 6.50it/s]
33%|███▎ | 6/18 [00:00<00:01, 6.41it/s]
39%|███▉ | 7/18 [00:01<00:01, 6.43it/s]
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50%|█████ | 9/18 [00:01<00:01, 6.52it/s]
56%|█████▌ | 10/18 [00:01<00:01, 6.55it/s]
61%|██████ | 11/18 [00:01<00:01, 6.50it/s]
67%|██████▋ | 12/18 [00:01<00:00, 6.42it/s]
72%|███████▏ | 13/18 [00:02<00:00, 6.39it/s]
78%|███████▊ | 14/18 [00:02<00:00, 6.41it/s]
83%|████████▎ | 15/18 [00:02<00:00, 6.47it/s]
89%|████████▉ | 16/18 [00:02<00:00, 6.50it/s]
94%|█████████▍| 17/18 [00:02<00:00, 6.47it/s]
100%|██████████| 18/18 [00:02<00:00, 6.42it/s]
100%|██████████| 18/18 [00:02<00:00, 6.48it/s]
Decoding latents in cuda:0...
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Move latents to cpu...
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11%|█ | 2/18 [00:00<00:02, 6.68it/s]
17%|█▋ | 3/18 [00:00<00:02, 6.63it/s]
22%|██▏ | 4/18 [00:00<00:02, 6.63it/s]
28%|██▊ | 5/18 [00:00<00:02, 6.50it/s]
33%|███▎ | 6/18 [00:00<00:01, 6.40it/s]
39%|███▉ | 7/18 [00:01<00:01, 6.38it/s]
44%|████▍ | 8/18 [00:01<00:01, 6.44it/s]
50%|█████ | 9/18 [00:01<00:01, 6.40it/s]
56%|█████▌ | 10/18 [00:01<00:01, 6.50it/s]
61%|██████ | 11/18 [00:01<00:01, 6.51it/s]
67%|██████▋ | 12/18 [00:01<00:00, 6.44it/s]
72%|███████▏ | 13/18 [00:02<00:00, 6.41it/s]
78%|███████▊ | 14/18 [00:02<00:00, 6.43it/s]
83%|████████▎ | 15/18 [00:02<00:00, 6.41it/s]
89%|████████▉ | 16/18 [00:02<00:00, 6.46it/s]
94%|█████████▍| 17/18 [00:02<00:00, 6.50it/s]
100%|██████████| 18/18 [00:02<00:00, 6.47it/s]
100%|██████████| 18/18 [00:02<00:00, 6.48it/s]
Decoding latents in cuda:0...
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Move latents to cpu...
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0%| | 0/18 [00:00<?, ?it/s]
6%|▌ | 1/18 [00:00<00:02, 6.75it/s]
11%|█ | 2/18 [00:00<00:02, 6.66it/s]
17%|█▋ | 3/18 [00:00<00:02, 6.64it/s]
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28%|██▊ | 5/18 [00:00<00:01, 6.51it/s]
33%|███▎ | 6/18 [00:00<00:01, 6.41it/s]
39%|███▉ | 7/18 [00:01<00:01, 6.39it/s]
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50%|█████ | 9/18 [00:01<00:01, 6.48it/s]
56%|█████▌ | 10/18 [00:01<00:01, 6.51it/s]
61%|██████ | 11/18 [00:01<00:01, 6.50it/s]
67%|██████▋ | 12/18 [00:01<00:00, 6.44it/s]
72%|███████▏ | 13/18 [00:02<00:00, 6.44it/s]
78%|███████▊ | 14/18 [00:02<00:00, 6.46it/s]
83%|████████▎ | 15/18 [00:02<00:00, 6.50it/s]
89%|████████▉ | 16/18 [00:02<00:00, 6.52it/s]
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100%|██████████| 18/18 [00:02<00:00, 6.49it/s]
100%|██████████| 18/18 [00:02<00:00, 6.49it/s]
Decoding latents in cuda:0...
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Move latents to cpu...
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0%| | 0/18 [00:00<?, ?it/s]
6%|▌ | 1/18 [00:00<00:02, 6.78it/s]
11%|█ | 2/18 [00:00<00:02, 6.66it/s]
17%|█▋ | 3/18 [00:00<00:02, 6.63it/s]
22%|██▏ | 4/18 [00:00<00:02, 6.63it/s]
28%|██▊ | 5/18 [00:00<00:01, 6.53it/s]
33%|███▎ | 6/18 [00:00<00:01, 6.45it/s]
39%|███▉ | 7/18 [00:01<00:01, 6.44it/s]
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56%|█████▌ | 10/18 [00:01<00:01, 6.54it/s]
61%|██████ | 11/18 [00:01<00:01, 6.50it/s]
67%|██████▋ | 12/18 [00:01<00:00, 6.43it/s]
72%|███████▏ | 13/18 [00:02<00:00, 6.41it/s]
78%|███████▊ | 14/18 [00:02<00:00, 6.46it/s]
83%|████████▎ | 15/18 [00:02<00:00, 6.48it/s]
89%|████████▉ | 16/18 [00:02<00:00, 6.47it/s]
94%|█████████▍| 17/18 [00:02<00:00, 6.49it/s]
100%|██████████| 18/18 [00:02<00:00, 6.48it/s]
100%|██████████| 18/18 [00:02<00:00, 6.50it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
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0%| | 0/18 [00:00<?, ?it/s]
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11%|█ | 2/18 [00:00<00:02, 6.68it/s]
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22%|██▏ | 4/18 [00:00<00:02, 6.65it/s]
28%|██▊ | 5/18 [00:00<00:01, 6.53it/s]
33%|███▎ | 6/18 [00:00<00:01, 6.45it/s]
39%|███▉ | 7/18 [00:01<00:01, 6.43it/s]
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61%|██████ | 11/18 [00:01<00:01, 6.46it/s]
67%|██████▋ | 12/18 [00:01<00:00, 6.42it/s]
72%|███████▏ | 13/18 [00:02<00:00, 6.42it/s]
78%|███████▊ | 14/18 [00:02<00:00, 6.45it/s]
83%|████████▎ | 15/18 [00:02<00:00, 6.50it/s]
89%|████████▉ | 16/18 [00:02<00:00, 6.54it/s]
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100%|██████████| 18/18 [00:02<00:00, 6.47it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
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0%| | 0/18 [00:00<?, ?it/s]
6%|▌ | 1/18 [00:00<00:02, 6.75it/s]
11%|█ | 2/18 [00:00<00:02, 6.64it/s]
17%|█▋ | 3/18 [00:00<00:02, 6.58it/s]
22%|██▏ | 4/18 [00:00<00:02, 6.59it/s]
28%|██▊ | 5/18 [00:00<00:01, 6.52it/s]
33%|███▎ | 6/18 [00:00<00:01, 6.40it/s]
39%|███▉ | 7/18 [00:01<00:01, 6.41it/s]
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56%|█████▌ | 10/18 [00:01<00:01, 6.52it/s]
61%|██████ | 11/18 [00:01<00:01, 6.51it/s]
67%|██████▋ | 12/18 [00:01<00:00, 6.48it/s]
72%|███████▏ | 13/18 [00:02<00:00, 6.45it/s]
78%|███████▊ | 14/18 [00:02<00:00, 6.47it/s]
83%|████████▎ | 15/18 [00:02<00:00, 6.50it/s]
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100%|██████████| 18/18 [00:02<00:00, 6.46it/s]
100%|██████████| 18/18 [00:02<00:00, 6.49it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 3 hands, 7.4ms
Speed: 2.8ms preprocess, 7.4ms inference, 1.8ms 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
Uploading outputs...
Finished.