Boy by the Park with Yunjue Kemono Mix
Input
prompt
Specify things to see in the output
(Masterpiece), (best quality), (absurdres), award winning, pupils, bright_pupils, furry, solo, 1boy, colorful, park, casual, loungewear,
negative_prompt
Specify things to not see in the output
EasyNegativeV2, bad-hands-5, boring_e621_v4, (more than 2 arms), (more than 2 legs), (more than 2 hands), (more than 2 feet), (more than 2 shoes), boring_e621_fluffyrock_v4, badyiffymix35, worstquality, bad anatomy, bad proportions, out of focus, multiple people, bad hands, mutated hands and fingers, too many fingers, missing fingers, NSFW, (worst quality:1.5), (low quality:1.5), (normal quality:1.5), (poor quality:1.5), lowres, polar lowres, ((monochrome)), ((grayscale)), low res, drawing, ugly,
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.
3114413267
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
Restart
samping_steps
Number of denoising steps
40
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 190.5 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: (Masterpiece), (best quality), (absurdres), award winning, pupils, bright_pupils, furry, solo, 1boy, colorful, park, casual, loungewear,
Full negative prompt: EasyNegativeV2, bad-hands-5, boring_e621_v4, (more than 2 arms), (more than 2 legs), (more than 2 hands), (more than 2 feet), (more than 2 shoes), boring_e621_fluffyrock_v4, badyiffymix35, worstquality, bad anatomy, bad proportions, out of focus, multiple people, bad hands, mutated hands and fingers, too many fingers, missing fingers, NSFW, (worst quality:1.5), (low quality:1.5), (normal quality:1.5), (poor quality:1.5), lowres, polar lowres, ((monochrome)), ((grayscale)), low res, drawing, ugly,
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0: 640x640 1 face, 7.4ms
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0: 640x640 3 hands, 7.0ms
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0: 640x640 1 face, 7.8ms
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0: 640x640 1 face, 7.5ms
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0: 640x640 3 hands, 6.9ms
Speed: 2.7ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 8.6ms
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0: 640x640 3 hands, 6.9ms
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Uploading outputs...
Finished.
prompt
Specify things to see in the output
(Masterpiece), (best quality), (absurdres), award winning, pupils, bright_pupils, furry, solo, 1boy, colorful, park, casual, loungewear,
negative_prompt
Specify things to not see in the output
EasyNegativeV2, bad-hands-5, boring_e621_v4, (more than 2 arms), (more than 2 legs), (more than 2 hands), (more than 2 feet), (more than 2 shoes), boring_e621_fluffyrock_v4, badyiffymix35, worstquality, bad anatomy, bad proportions, out of focus, multiple people, bad hands, mutated hands and fingers, too many fingers, missing fingers, NSFW, (worst quality:1.5), (low quality:1.5), (normal quality:1.5), (poor quality:1.5), lowres, polar lowres, ((monochrome)), ((grayscale)), low res, drawing, ugly,
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.
3114413267
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
Restart
samping_steps
Number of denoising steps
40
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 190.5 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: (Masterpiece), (best quality), (absurdres), award winning, pupils, bright_pupils, furry, solo, 1boy, colorful, park, casual, loungewear,
Full negative prompt: EasyNegativeV2, bad-hands-5, boring_e621_v4, (more than 2 arms), (more than 2 legs), (more than 2 hands), (more than 2 feet), (more than 2 shoes), boring_e621_fluffyrock_v4, badyiffymix35, worstquality, bad anatomy, bad proportions, out of focus, multiple people, bad hands, mutated hands and fingers, too many fingers, missing fingers, NSFW, (worst quality:1.5), (low quality:1.5), (normal quality:1.5), (poor quality:1.5), lowres, polar lowres, ((monochrome)), ((grayscale)), low res, drawing, ugly,
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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, 7.4ms
Speed: 2.8ms preprocess, 7.4ms inference, 31.9ms postprocess per image at shape (1, 3, 640, 640)
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63%|██████▎ | 12/19 [00:04<00:02, 2.52it/s]
68%|██████▊ | 13/19 [00:05<00:02, 2.51it/s]
74%|███████▎ | 14/19 [00:05<00:01, 2.51it/s]
79%|███████▉ | 15/19 [00:06<00:01, 2.52it/s]
84%|████████▍ | 16/19 [00:06<00:01, 2.50it/s]
89%|████████▉ | 17/19 [00:06<00:00, 2.52it/s]
95%|█████████▍| 18/19 [00:07<00:00, 2.53it/s]
100%|██████████| 19/19 [00:07<00:00, 2.96it/s]
100%|██████████| 19/19 [00:07<00:00, 2.52it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 3 hands, 7.0ms
Speed: 3.0ms preprocess, 7.0ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/19 [00:00<?, ?it/s]
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11%|█ | 2/19 [00:00<00:06, 2.52it/s]
16%|█▌ | 3/19 [00:01<00:06, 2.54it/s]
21%|██ | 4/19 [00:01<00:05, 2.55it/s]
26%|██▋ | 5/19 [00:01<00:05, 2.54it/s]
32%|███▏ | 6/19 [00:02<00:05, 2.54it/s]
37%|███▋ | 7/19 [00:02<00:04, 2.53it/s]
42%|████▏ | 8/19 [00:03<00:04, 2.54it/s]
47%|████▋ | 9/19 [00:03<00:03, 2.54it/s]
53%|█████▎ | 10/19 [00:03<00:03, 2.54it/s]
58%|█████▊ | 11/19 [00:04<00:03, 2.54it/s]
63%|██████▎ | 12/19 [00:04<00:02, 2.53it/s]
68%|██████▊ | 13/19 [00:05<00:02, 2.53it/s]
74%|███████▎ | 14/19 [00:05<00:01, 2.55it/s]
79%|███████▉ | 15/19 [00:05<00:01, 2.53it/s]
84%|████████▍ | 16/19 [00:06<00:01, 2.55it/s]
89%|████████▉ | 17/19 [00:06<00:00, 2.55it/s]
95%|█████████▍| 18/19 [00:07<00:00, 2.54it/s]
100%|██████████| 19/19 [00:07<00:00, 2.99it/s]
100%|██████████| 19/19 [00:07<00:00, 2.61it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
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11%|█ | 2/19 [00:00<00:06, 2.53it/s]
16%|█▌ | 3/19 [00:01<00:06, 2.54it/s]
21%|██ | 4/19 [00:01<00:05, 2.54it/s]
26%|██▋ | 5/19 [00:01<00:05, 2.54it/s]
32%|███▏ | 6/19 [00:02<00:05, 2.53it/s]
37%|███▋ | 7/19 [00:02<00:04, 2.54it/s]
42%|████▏ | 8/19 [00:03<00:04, 2.51it/s]
47%|████▋ | 9/19 [00:03<00:03, 2.51it/s]
53%|█████▎ | 10/19 [00:03<00:03, 2.50it/s]
58%|█████▊ | 11/19 [00:04<00:03, 2.49it/s]
63%|██████▎ | 12/19 [00:04<00:02, 2.50it/s]
68%|██████▊ | 13/19 [00:05<00:02, 2.44it/s]
74%|███████▎ | 14/19 [00:05<00:02, 2.47it/s]
79%|███████▉ | 15/19 [00:05<00:01, 2.48it/s]
84%|████████▍ | 16/19 [00:06<00:01, 2.49it/s]
89%|████████▉ | 17/19 [00:06<00:00, 2.51it/s]
95%|█████████▍| 18/19 [00:07<00:00, 2.53it/s]
100%|██████████| 19/19 [00:07<00:00, 2.99it/s]
100%|██████████| 19/19 [00:07<00:00, 2.58it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0%| | 0/19 [00:00<?, ?it/s]
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11%|█ | 2/19 [00:00<00:06, 2.53it/s]
16%|█▌ | 3/19 [00:01<00:06, 2.48it/s]
21%|██ | 4/19 [00:01<00:05, 2.52it/s]
26%|██▋ | 5/19 [00:01<00:05, 2.53it/s]
32%|███▏ | 6/19 [00:02<00:05, 2.53it/s]
37%|███▋ | 7/19 [00:02<00:04, 2.51it/s]
42%|████▏ | 8/19 [00:03<00:04, 2.51it/s]
47%|████▋ | 9/19 [00:03<00:03, 2.51it/s]
53%|█████▎ | 10/19 [00:03<00:03, 2.51it/s]
58%|█████▊ | 11/19 [00:04<00:03, 2.50it/s]
63%|██████▎ | 12/19 [00:04<00:02, 2.53it/s]
68%|██████▊ | 13/19 [00:05<00:02, 2.52it/s]
74%|███████▎ | 14/19 [00:05<00:01, 2.53it/s]
79%|███████▉ | 15/19 [00:05<00:01, 2.54it/s]
84%|████████▍ | 16/19 [00:06<00:01, 2.53it/s]
89%|████████▉ | 17/19 [00:06<00:00, 2.53it/s]
95%|█████████▍| 18/19 [00:07<00:00, 2.51it/s]
100%|██████████| 19/19 [00:07<00:00, 2.95it/s]
100%|██████████| 19/19 [00:07<00:00, 2.59it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.8ms
Speed: 3.8ms preprocess, 7.8ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/19 [00:00<?, ?it/s]
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11%|█ | 2/19 [00:00<00:06, 2.44it/s]
16%|█▌ | 3/19 [00:01<00:06, 2.48it/s]
21%|██ | 4/19 [00:01<00:06, 2.48it/s]
26%|██▋ | 5/19 [00:02<00:05, 2.49it/s]
32%|███▏ | 6/19 [00:02<00:05, 2.50it/s]
37%|███▋ | 7/19 [00:02<00:04, 2.50it/s]
42%|████▏ | 8/19 [00:03<00:04, 2.51it/s]
47%|████▋ | 9/19 [00:03<00:03, 2.51it/s]
53%|█████▎ | 10/19 [00:04<00:03, 2.51it/s]
58%|█████▊ | 11/19 [00:04<00:03, 2.52it/s]
63%|██████▎ | 12/19 [00:04<00:02, 2.52it/s]
68%|██████▊ | 13/19 [00:05<00:02, 2.53it/s]
74%|███████▎ | 14/19 [00:05<00:01, 2.51it/s]
79%|███████▉ | 15/19 [00:05<00:01, 2.50it/s]
84%|████████▍ | 16/19 [00:06<00:01, 2.48it/s]
89%|████████▉ | 17/19 [00:06<00:00, 2.49it/s]
95%|█████████▍| 18/19 [00:07<00:00, 2.51it/s]
100%|██████████| 19/19 [00:07<00:00, 2.95it/s]
100%|██████████| 19/19 [00:07<00:00, 2.57it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 3 hands, 6.9ms
Speed: 2.7ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/19 [00:00<?, ?it/s]
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11%|█ | 2/19 [00:00<00:06, 2.50it/s]
16%|█▌ | 3/19 [00:01<00:06, 2.48it/s]
21%|██ | 4/19 [00:01<00:06, 2.49it/s]
26%|██▋ | 5/19 [00:02<00:05, 2.48it/s]
32%|███▏ | 6/19 [00:02<00:05, 2.50it/s]
37%|███▋ | 7/19 [00:02<00:04, 2.51it/s]
42%|████▏ | 8/19 [00:03<00:04, 2.50it/s]
47%|████▋ | 9/19 [00:03<00:03, 2.50it/s]
53%|█████▎ | 10/19 [00:04<00:03, 2.49it/s]
58%|█████▊ | 11/19 [00:04<00:03, 2.51it/s]
63%|██████▎ | 12/19 [00:04<00:02, 2.51it/s]
68%|██████▊ | 13/19 [00:05<00:02, 2.51it/s]
74%|███████▎ | 14/19 [00:05<00:01, 2.50it/s]
79%|███████▉ | 15/19 [00:05<00:01, 2.50it/s]
84%|████████▍ | 16/19 [00:06<00:01, 2.51it/s]
89%|████████▉ | 17/19 [00:06<00:00, 2.47it/s]
95%|█████████▍| 18/19 [00:07<00:00, 2.48it/s]
100%|██████████| 19/19 [00:07<00:00, 2.91it/s]
100%|██████████| 19/19 [00:07<00:00, 2.56it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0%| | 0/19 [00:00<?, ?it/s]
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11%|█ | 2/19 [00:00<00:06, 2.48it/s]
16%|█▌ | 3/19 [00:01<00:06, 2.46it/s]
21%|██ | 4/19 [00:01<00:06, 2.47it/s]
26%|██▋ | 5/19 [00:02<00:05, 2.49it/s]
32%|███▏ | 6/19 [00:02<00:05, 2.50it/s]
37%|███▋ | 7/19 [00:02<00:04, 2.53it/s]
42%|████▏ | 8/19 [00:03<00:04, 2.54it/s]
47%|████▋ | 9/19 [00:03<00:03, 2.55it/s]
53%|█████▎ | 10/19 [00:03<00:03, 2.55it/s]
58%|█████▊ | 11/19 [00:04<00:03, 2.52it/s]
63%|██████▎ | 12/19 [00:04<00:02, 2.51it/s]
68%|██████▊ | 13/19 [00:05<00:02, 2.52it/s]
74%|███████▎ | 14/19 [00:05<00:01, 2.52it/s]
79%|███████▉ | 15/19 [00:05<00:01, 2.52it/s]
84%|████████▍ | 16/19 [00:06<00:01, 2.52it/s]
89%|████████▉ | 17/19 [00:06<00:00, 2.51it/s]
95%|█████████▍| 18/19 [00:07<00:00, 2.51it/s]
100%|██████████| 19/19 [00:07<00:00, 2.95it/s]
100%|██████████| 19/19 [00:07<00:00, 2.58it/s]
Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
0%| | 0/19 [00:00<?, ?it/s]
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11%|█ | 2/19 [00:00<00:06, 2.45it/s]
16%|█▌ | 3/19 [00:01<00:06, 2.47it/s]
21%|██ | 4/19 [00:01<00:06, 2.49it/s]
26%|██▋ | 5/19 [00:02<00:05, 2.50it/s]
32%|███▏ | 6/19 [00:02<00:05, 2.50it/s]
37%|███▋ | 7/19 [00:02<00:04, 2.51it/s]
42%|████▏ | 8/19 [00:03<00:04, 2.48it/s]
47%|████▋ | 9/19 [00:03<00:03, 2.51it/s]
53%|█████▎ | 10/19 [00:03<00:03, 2.53it/s]
58%|█████▊ | 11/19 [00:04<00:03, 2.53it/s]
63%|██████▎ | 12/19 [00:04<00:02, 2.53it/s]
68%|██████▊ | 13/19 [00:05<00:02, 2.51it/s]
74%|███████▎ | 14/19 [00:05<00:01, 2.52it/s]
79%|███████▉ | 15/19 [00:05<00:01, 2.53it/s]
84%|████████▍ | 16/19 [00:06<00:01, 2.50it/s]
89%|████████▉ | 17/19 [00:06<00:00, 2.51it/s]
95%|█████████▍| 18/19 [00:07<00:00, 2.51it/s]
100%|██████████| 19/19 [00:07<00:00, 2.96it/s]
100%|██████████| 19/19 [00:07<00:00, 2.58it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.5ms
Speed: 2.7ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/19 [00:00<?, ?it/s]
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11%|█ | 2/19 [00:00<00:06, 2.49it/s]
16%|█▌ | 3/19 [00:01<00:06, 2.47it/s]
21%|██ | 4/19 [00:01<00:06, 2.50it/s]
26%|██▋ | 5/19 [00:02<00:05, 2.50it/s]
32%|███▏ | 6/19 [00:02<00:05, 2.51it/s]
37%|███▋ | 7/19 [00:02<00:04, 2.51it/s]
42%|████▏ | 8/19 [00:03<00:04, 2.53it/s]
47%|████▋ | 9/19 [00:03<00:03, 2.52it/s]
53%|█████▎ | 10/19 [00:03<00:03, 2.51it/s]
58%|█████▊ | 11/19 [00:04<00:03, 2.51it/s]
63%|██████▎ | 12/19 [00:04<00:02, 2.49it/s]
68%|██████▊ | 13/19 [00:05<00:02, 2.47it/s]
74%|███████▎ | 14/19 [00:05<00:02, 2.47it/s]
79%|███████▉ | 15/19 [00:06<00:01, 2.48it/s]
84%|████████▍ | 16/19 [00:06<00:01, 2.47it/s]
89%|████████▉ | 17/19 [00:06<00:00, 2.48it/s]
95%|█████████▍| 18/19 [00:07<00:00, 2.50it/s]
100%|██████████| 19/19 [00:07<00:00, 2.95it/s]
100%|██████████| 19/19 [00:07<00:00, 2.56it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 3 hands, 6.9ms
Speed: 2.7ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/19 [00:00<?, ?it/s]
5%|▌ | 1/19 [00:00<00:07, 2.35it/s]
11%|█ | 2/19 [00:00<00:07, 2.39it/s]
16%|█▌ | 3/19 [00:01<00:06, 2.44it/s]
21%|██ | 4/19 [00:01<00:06, 2.48it/s]
26%|██▋ | 5/19 [00:02<00:05, 2.51it/s]
32%|███▏ | 6/19 [00:02<00:05, 2.51it/s]
37%|███▋ | 7/19 [00:02<00:04, 2.51it/s]
42%|████▏ | 8/19 [00:03<00:04, 2.52it/s]
47%|████▋ | 9/19 [00:03<00:03, 2.53it/s]
53%|█████▎ | 10/19 [00:04<00:03, 2.52it/s]
58%|█████▊ | 11/19 [00:04<00:03, 2.53it/s]
63%|██████▎ | 12/19 [00:04<00:02, 2.54it/s]
68%|██████▊ | 13/19 [00:05<00:02, 2.52it/s]
74%|███████▎ | 14/19 [00:05<00:01, 2.52it/s]
79%|███████▉ | 15/19 [00:05<00:01, 2.52it/s]
84%|████████▍ | 16/19 [00:06<00:01, 2.53it/s]
89%|████████▉ | 17/19 [00:06<00:00, 2.51it/s]
95%|█████████▍| 18/19 [00:07<00:00, 2.50it/s]
100%|██████████| 19/19 [00:07<00:00, 2.92it/s]
100%|██████████| 19/19 [00:07<00:00, 2.57it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0%| | 0/19 [00:00<?, ?it/s]
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11%|█ | 2/19 [00:00<00:06, 2.50it/s]
16%|█▌ | 3/19 [00:01<00:06, 2.49it/s]
21%|██ | 4/19 [00:01<00:05, 2.51it/s]
26%|██▋ | 5/19 [00:02<00:05, 2.49it/s]
32%|███▏ | 6/19 [00:02<00:05, 2.50it/s]
37%|███▋ | 7/19 [00:02<00:04, 2.52it/s]
42%|████▏ | 8/19 [00:03<00:04, 2.53it/s]
47%|████▋ | 9/19 [00:03<00:03, 2.52it/s]
53%|█████▎ | 10/19 [00:03<00:03, 2.52it/s]
58%|█████▊ | 11/19 [00:04<00:03, 2.51it/s]
63%|██████▎ | 12/19 [00:04<00:02, 2.51it/s]
68%|██████▊ | 13/19 [00:05<00:02, 2.52it/s]
74%|███████▎ | 14/19 [00:05<00:01, 2.54it/s]
79%|███████▉ | 15/19 [00:05<00:01, 2.54it/s]
84%|████████▍ | 16/19 [00:06<00:01, 2.53it/s]
89%|████████▉ | 17/19 [00:06<00:00, 2.54it/s]
95%|█████████▍| 18/19 [00:07<00:00, 2.53it/s]
100%|██████████| 19/19 [00:07<00:00, 2.97it/s]
100%|██████████| 19/19 [00:07<00:00, 2.59it/s]
Decoding latents in cuda:0...
done in 0.25s
Move latents to cpu...
done in 0.0s
0%| | 0/19 [00:00<?, ?it/s]
5%|▌ | 1/19 [00:00<00:07, 2.46it/s]
11%|█ | 2/19 [00:00<00:06, 2.50it/s]
16%|█▌ | 3/19 [00:01<00:06, 2.49it/s]
21%|██ | 4/19 [00:01<00:06, 2.50it/s]
26%|██▋ | 5/19 [00:02<00:05, 2.50it/s]
32%|███▏ | 6/19 [00:02<00:05, 2.50it/s]
37%|███▋ | 7/19 [00:02<00:04, 2.49it/s]
42%|████▏ | 8/19 [00:03<00:04, 2.49it/s]
47%|████▋ | 9/19 [00:03<00:04, 2.47it/s]
53%|█████▎ | 10/19 [00:04<00:03, 2.47it/s]
58%|█████▊ | 11/19 [00:04<00:03, 2.48it/s]
63%|██████▎ | 12/19 [00:04<00:02, 2.46it/s]
68%|██████▊ | 13/19 [00:05<00:02, 2.45it/s]
74%|███████▎ | 14/19 [00:05<00:02, 2.46it/s]
79%|███████▉ | 15/19 [00:06<00:01, 2.47it/s]
84%|████████▍ | 16/19 [00:06<00:01, 2.48it/s]
89%|████████▉ | 17/19 [00:06<00:00, 2.48it/s]
95%|█████████▍| 18/19 [00:07<00:00, 2.50it/s]
100%|██████████| 19/19 [00:07<00:00, 2.92it/s]
100%|██████████| 19/19 [00:07<00:00, 2.55it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 8.6ms
Speed: 3.1ms preprocess, 8.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/19 [00:00<?, ?it/s]
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11%|█ | 2/19 [00:00<00:06, 2.52it/s]
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21%|██ | 4/19 [00:01<00:05, 2.51it/s]
26%|██▋ | 5/19 [00:01<00:05, 2.52it/s]
32%|███▏ | 6/19 [00:02<00:05, 2.51it/s]
37%|███▋ | 7/19 [00:02<00:04, 2.51it/s]
42%|████▏ | 8/19 [00:03<00:04, 2.33it/s]
47%|████▋ | 9/19 [00:03<00:04, 2.39it/s]
53%|█████▎ | 10/19 [00:04<00:03, 2.43it/s]
58%|█████▊ | 11/19 [00:04<00:03, 2.47it/s]
63%|██████▎ | 12/19 [00:04<00:02, 2.49it/s]
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Decoding latents in cuda:0...
done in 0.24s
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done in 0.0s
0: 640x640 3 hands, 6.9ms
Speed: 2.8ms preprocess, 6.9ms inference, 1.3ms 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...
done in 0.24s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.