Playing Volley Ball with Nijisouls
Input
prompt
Specify things to see in the output
(anime:1), 2D, flat colors, girls playing volley ball, smile, beach
negative_prompt
Specify things to not see in the output
(real:1), (photoreal), (real life:1), (realistic), (volumetric), (photo), (low-quality worst-quality:1.5), earrings, (bad-hands:1.35), multiple people, poorly drawn face, blur, blurry, nsfw, loli, kid, child, underage, topless, nipples, negative_hand-neg, ng_deepnegative_v1_75t, easynegative
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.
-1
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
Euler a
samping_steps
Number of denoising steps
30
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
![https://files.tungsten.run/uploads/655d0c788e1e41308b00bb7241e9a1ed/00000-886659442.webp](https://files.tungsten.run/uploads/655d0c788e1e41308b00bb7241e9a1ed/00000-886659442.webp)
![https://files.tungsten.run/uploads/c78a9cacc4d245fb9db471ac697a1ea4/00001-886659443.webp](https://files.tungsten.run/uploads/c78a9cacc4d245fb9db471ac697a1ea4/00001-886659443.webp)
![https://files.tungsten.run/uploads/cc11ee7e19d74a5aa8db624d0a1b50cc/00002-886659444.webp](https://files.tungsten.run/uploads/cc11ee7e19d74a5aa8db624d0a1b50cc/00002-886659444.webp)
![https://files.tungsten.run/uploads/f5087bd11d604c7ba1e1f4b82925bc23/00003-886659445.webp](https://files.tungsten.run/uploads/f5087bd11d604c7ba1e1f4b82925bc23/00003-886659445.webp)
Finished in 148.5 seconds
Setting up the model...
Preparing inputs...
Processing...
Using seed 886659442
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: (anime:1), 2D, flat colors, girls playing volley ball, smile, beach
Full negative prompt: (real:1), (photoreal), (real life:1), (realistic), (volumetric), (photo), (low-quality worst-quality:1.5), earrings, (bad-hands:1.35), multiple people, poorly drawn face, blur, blurry, nsfw, loli, kid, child, underage, topless, nipples, negative_hand-neg, ng_deepnegative_v1_75t, easynegative
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0: 640x640 4 faces, 11.9ms
Speed: 4.6ms preprocess, 11.9ms inference, 63.9ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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Move latents to cpu...
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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...
done in 0.0s
0: 640x640 5 faces, 7.4ms
Speed: 2.8ms preprocess, 7.4ms inference, 2.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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100%|██████████| 14/14 [00:02<00:00, 5.92it/s]
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Decoding latents in cuda:0...
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100%|██████████| 14/14 [00:02<00:00, 6.09it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
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100%|██████████| 14/14 [00:02<00:00, 6.11it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
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100%|██████████| 14/14 [00:02<00:00, 6.18it/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 hands, 10.6ms
Speed: 3.6ms preprocess, 10.6ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 14/14 [00:02<00:00, 6.14it/s]
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Decoding latents in cuda:0...
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100%|██████████| 14/14 [00:02<00:00, 6.17it/s]
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
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71%|███████▏ | 10/14 [00:01<00:00, 6.23it/s]
79%|███████▊ | 11/14 [00:01<00:00, 6.23it/s]
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100%|██████████| 14/14 [00:02<00:00, 6.18it/s]
100%|██████████| 14/14 [00:02<00:00, 6.11it/s]
Decoding latents in cuda:0...
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Move latents to cpu...
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64%|██████▍ | 9/14 [00:01<00:00, 6.09it/s]
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79%|███████▊ | 11/14 [00:01<00:00, 6.04it/s]
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100%|██████████| 14/14 [00:02<00:00, 6.01it/s]
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 11.1ms
Speed: 3.6ms preprocess, 11.1ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 640)
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21%|██▏ | 3/14 [00:00<00:01, 5.80it/s]
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50%|█████ | 7/14 [00:01<00:01, 5.97it/s]
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64%|██████▍ | 9/14 [00:01<00:00, 5.77it/s]
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79%|███████▊ | 11/14 [00:01<00:00, 5.95it/s]
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100%|██████████| 14/14 [00:02<00:00, 6.02it/s]
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 6 hands, 11.0ms
Speed: 2.9ms preprocess, 11.0ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 14/14 [00:02<00:00, 6.31it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
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100%|██████████| 14/14 [00:02<00:00, 6.32it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
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64%|██████▍ | 9/14 [00:01<00:00, 6.26it/s]
71%|███████▏ | 10/14 [00:01<00:00, 6.29it/s]
79%|███████▊ | 11/14 [00:01<00:00, 6.28it/s]
86%|████████▌ | 12/14 [00:01<00:00, 6.25it/s]
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100%|██████████| 14/14 [00:02<00:00, 6.33it/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 faces, 7.5ms
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0: 640x640 8 hands, 7.3ms
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Uploading outputs...
Finished.
prompt
Specify things to see in the output
(anime:1), 2D, flat colors, girls playing volley ball, smile, beach
negative_prompt
Specify things to not see in the output
(real:1), (photoreal), (real life:1), (realistic), (volumetric), (photo), (low-quality worst-quality:1.5), earrings, (bad-hands:1.35), multiple people, poorly drawn face, blur, blurry, nsfw, loli, kid, child, underage, topless, nipples, negative_hand-neg, ng_deepnegative_v1_75t, easynegative
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.
-1
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
Euler a
samping_steps
Number of denoising steps
30
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
![https://files.tungsten.run/uploads/655d0c788e1e41308b00bb7241e9a1ed/00000-886659442.webp](https://files.tungsten.run/uploads/655d0c788e1e41308b00bb7241e9a1ed/00000-886659442.webp)
![https://files.tungsten.run/uploads/c78a9cacc4d245fb9db471ac697a1ea4/00001-886659443.webp](https://files.tungsten.run/uploads/c78a9cacc4d245fb9db471ac697a1ea4/00001-886659443.webp)
![https://files.tungsten.run/uploads/cc11ee7e19d74a5aa8db624d0a1b50cc/00002-886659444.webp](https://files.tungsten.run/uploads/cc11ee7e19d74a5aa8db624d0a1b50cc/00002-886659444.webp)
![https://files.tungsten.run/uploads/f5087bd11d604c7ba1e1f4b82925bc23/00003-886659445.webp](https://files.tungsten.run/uploads/f5087bd11d604c7ba1e1f4b82925bc23/00003-886659445.webp)
Finished in 148.5 seconds
Setting up the model...
Preparing inputs...
Processing...
Using seed 886659442
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: (anime:1), 2D, flat colors, girls playing volley ball, smile, beach
Full negative prompt: (real:1), (photoreal), (real life:1), (realistic), (volumetric), (photo), (low-quality worst-quality:1.5), earrings, (bad-hands:1.35), multiple people, poorly drawn face, blur, blurry, nsfw, loli, kid, child, underage, topless, nipples, negative_hand-neg, ng_deepnegative_v1_75t, easynegative
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0: 640x640 4 faces, 11.9ms
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79%|███████▊ | 11/14 [00:01<00:00, 6.09it/s]
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100%|██████████| 14/14 [00:02<00:00, 6.04it/s]
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 5 faces, 7.4ms
Speed: 2.8ms preprocess, 7.4ms inference, 2.5ms postprocess per image at shape (1, 3, 640, 640)
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64%|██████▍ | 9/14 [00:01<00:00, 5.86it/s]
71%|███████▏ | 10/14 [00:01<00:00, 5.66it/s]
79%|███████▊ | 11/14 [00:01<00:00, 5.81it/s]
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100%|██████████| 14/14 [00:02<00:00, 6.03it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
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64%|██████▍ | 9/14 [00:01<00:00, 5.99it/s]
71%|███████▏ | 10/14 [00:01<00:00, 5.93it/s]
79%|███████▊ | 11/14 [00:01<00:00, 5.57it/s]
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100%|██████████| 14/14 [00:02<00:00, 5.92it/s]
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Decoding latents in cuda:0...
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43%|████▎ | 6/14 [00:01<00:01, 5.81it/s]
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64%|██████▍ | 9/14 [00:01<00:00, 5.90it/s]
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79%|███████▊ | 11/14 [00:01<00:00, 5.87it/s]
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100%|██████████| 14/14 [00:02<00:00, 6.09it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
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79%|███████▊ | 11/14 [00:01<00:00, 6.02it/s]
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100%|██████████| 14/14 [00:02<00:00, 6.11it/s]
100%|██████████| 14/14 [00:02<00:00, 5.99it/s]
Decoding latents in cuda:0...
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Move latents to cpu...
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14%|█▍ | 2/14 [00:00<00:01, 6.14it/s]
21%|██▏ | 3/14 [00:00<00:01, 6.24it/s]
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36%|███▌ | 5/14 [00:00<00:01, 6.16it/s]
43%|████▎ | 6/14 [00:00<00:01, 6.18it/s]
50%|█████ | 7/14 [00:01<00:01, 6.13it/s]
57%|█████▋ | 8/14 [00:01<00:00, 6.08it/s]
64%|██████▍ | 9/14 [00:01<00:00, 5.98it/s]
71%|███████▏ | 10/14 [00:01<00:00, 5.89it/s]
79%|███████▊ | 11/14 [00:01<00:00, 5.86it/s]
86%|████████▌ | 12/14 [00:01<00:00, 6.00it/s]
93%|█████████▎| 13/14 [00:02<00:00, 6.09it/s]
100%|██████████| 14/14 [00:02<00:00, 6.18it/s]
100%|██████████| 14/14 [00:02<00:00, 6.10it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 4 hands, 10.6ms
Speed: 3.6ms preprocess, 10.6ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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43%|████▎ | 6/14 [00:00<00:01, 6.06it/s]
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64%|██████▍ | 9/14 [00:01<00:00, 6.12it/s]
71%|███████▏ | 10/14 [00:01<00:00, 6.14it/s]
79%|███████▊ | 11/14 [00:01<00:00, 6.10it/s]
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100%|██████████| 14/14 [00:02<00:00, 6.14it/s]
100%|██████████| 14/14 [00:02<00:00, 6.10it/s]
Decoding latents in cuda:0...
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Move latents to cpu...
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0%| | 0/14 [00:00<?, ?it/s]
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14%|█▍ | 2/14 [00:00<00:01, 6.06it/s]
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71%|███████▏ | 10/14 [00:01<00:00, 6.21it/s]
79%|███████▊ | 11/14 [00:01<00:00, 6.19it/s]
86%|████████▌ | 12/14 [00:01<00:00, 6.15it/s]
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100%|██████████| 14/14 [00:02<00:00, 6.17it/s]
100%|██████████| 14/14 [00:02<00:00, 6.13it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
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0%| | 0/14 [00:00<?, ?it/s]
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14%|█▍ | 2/14 [00:00<00:02, 5.77it/s]
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43%|████▎ | 6/14 [00:00<00:01, 6.09it/s]
50%|█████ | 7/14 [00:01<00:01, 6.16it/s]
57%|█████▋ | 8/14 [00:01<00:00, 6.22it/s]
64%|██████▍ | 9/14 [00:01<00:00, 6.24it/s]
71%|███████▏ | 10/14 [00:01<00:00, 6.23it/s]
79%|███████▊ | 11/14 [00:01<00:00, 6.23it/s]
86%|████████▌ | 12/14 [00:01<00:00, 6.11it/s]
93%|█████████▎| 13/14 [00:02<00:00, 6.07it/s]
100%|██████████| 14/14 [00:02<00:00, 6.18it/s]
100%|██████████| 14/14 [00:02<00:00, 6.11it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
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0%| | 0/14 [00:00<?, ?it/s]
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21%|██▏ | 3/14 [00:00<00:01, 5.98it/s]
29%|██▊ | 4/14 [00:00<00:01, 6.02it/s]
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50%|█████ | 7/14 [00:01<00:01, 6.01it/s]
57%|█████▋ | 8/14 [00:01<00:00, 6.03it/s]
64%|██████▍ | 9/14 [00:01<00:00, 6.09it/s]
71%|███████▏ | 10/14 [00:01<00:00, 6.04it/s]
79%|███████▊ | 11/14 [00:01<00:00, 6.04it/s]
86%|████████▌ | 12/14 [00:01<00:00, 6.04it/s]
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100%|██████████| 14/14 [00:02<00:00, 6.01it/s]
100%|██████████| 14/14 [00:02<00:00, 6.02it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 11.1ms
Speed: 3.6ms preprocess, 11.1ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/14 [00:00<?, ?it/s]
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14%|█▍ | 2/14 [00:00<00:02, 5.84it/s]
21%|██▏ | 3/14 [00:00<00:01, 5.80it/s]
29%|██▊ | 4/14 [00:00<00:01, 5.90it/s]
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43%|████▎ | 6/14 [00:01<00:01, 5.87it/s]
50%|█████ | 7/14 [00:01<00:01, 5.97it/s]
57%|█████▋ | 8/14 [00:01<00:01, 5.97it/s]
64%|██████▍ | 9/14 [00:01<00:00, 5.77it/s]
71%|███████▏ | 10/14 [00:01<00:00, 5.91it/s]
79%|███████▊ | 11/14 [00:01<00:00, 5.95it/s]
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100%|██████████| 14/14 [00:02<00:00, 6.02it/s]
100%|██████████| 14/14 [00:02<00:00, 5.91it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 6 hands, 11.0ms
Speed: 2.9ms preprocess, 11.0ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/14 [00:00<?, ?it/s]
7%|▋ | 1/14 [00:00<00:01, 6.59it/s]
14%|█▍ | 2/14 [00:00<00:01, 6.45it/s]
21%|██▏ | 3/14 [00:00<00:01, 6.34it/s]
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57%|█████▋ | 8/14 [00:01<00:00, 6.10it/s]
64%|██████▍ | 9/14 [00:01<00:00, 6.14it/s]
71%|███████▏ | 10/14 [00:01<00:00, 6.19it/s]
79%|███████▊ | 11/14 [00:01<00:00, 6.23it/s]
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100%|██████████| 14/14 [00:02<00:00, 6.31it/s]
100%|██████████| 14/14 [00:02<00:00, 6.22it/s]
Decoding latents in cuda:0...
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Move latents to cpu...
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14%|█▍ | 2/14 [00:00<00:01, 6.33it/s]
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57%|█████▋ | 8/14 [00:01<00:00, 6.17it/s]
64%|██████▍ | 9/14 [00:01<00:00, 6.09it/s]
71%|███████▏ | 10/14 [00:01<00:00, 6.18it/s]
79%|███████▊ | 11/14 [00:01<00:00, 6.20it/s]
86%|████████▌ | 12/14 [00:01<00:00, 6.21it/s]
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100%|██████████| 14/14 [00:02<00:00, 6.32it/s]
100%|██████████| 14/14 [00:02<00:00, 6.21it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
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43%|████▎ | 6/14 [00:00<00:01, 6.24it/s]
50%|█████ | 7/14 [00:01<00:01, 6.19it/s]
57%|█████▋ | 8/14 [00:01<00:00, 6.25it/s]
64%|██████▍ | 9/14 [00:01<00:00, 6.26it/s]
71%|███████▏ | 10/14 [00:01<00:00, 6.29it/s]
79%|███████▊ | 11/14 [00:01<00:00, 6.28it/s]
86%|████████▌ | 12/14 [00:01<00:00, 6.25it/s]
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100%|██████████| 14/14 [00:02<00:00, 6.33it/s]
100%|██████████| 14/14 [00:02<00:00, 6.28it/s]
Decoding latents in cuda:0...
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Move latents to cpu...
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14%|█▍ | 2/14 [00:00<00:01, 6.29it/s]
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50%|█████ | 7/14 [00:01<00:01, 6.12it/s]
57%|█████▋ | 8/14 [00:01<00:00, 6.16it/s]
64%|██████▍ | 9/14 [00:01<00:00, 6.21it/s]
71%|███████▏ | 10/14 [00:01<00:00, 6.25it/s]
79%|███████▊ | 11/14 [00:01<00:00, 6.25it/s]
86%|████████▌ | 12/14 [00:01<00:00, 6.21it/s]
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100%|██████████| 14/14 [00:02<00:00, 6.30it/s]
100%|██████████| 14/14 [00:02<00:00, 6.23it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
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0%| | 0/14 [00:00<?, ?it/s]
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57%|█████▋ | 8/14 [00:01<00:00, 6.27it/s]
64%|██████▍ | 9/14 [00:01<00:00, 6.29it/s]
71%|███████▏ | 10/14 [00:01<00:00, 6.32it/s]
79%|███████▊ | 11/14 [00:01<00:00, 6.26it/s]
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100%|██████████| 14/14 [00:02<00:00, 6.32it/s]
100%|██████████| 14/14 [00:02<00:00, 6.28it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
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Decoding latents in cuda:0...
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0: 640x640 3 faces, 7.5ms
Speed: 2.8ms preprocess, 7.5ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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Move latents to cpu...
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0: 640x640 8 hands, 7.3ms
Speed: 2.8ms preprocess, 7.3ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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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...
done in 0.23s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.