Glass of Wine with 3dReal 3dRealistic
Input
prompt
Specify things to see in the output
(Man), handsome, (beard), (masterpiece, best quality, high resolution:1.4), looking at the viewer, holding a glass of wine, skin pores texture, sharp, Hair blonde, HD, Photography, movie, cinematic, full Body, Realistic, (8k, RAW photo, best quality, masterpiece:1.2), (realistic, photo-realistic:1.33), castle, moon, night, <lora:add_detail:0.8>, <lora:more_details:0.7>
negative_prompt
Specify things to not see in the output
((girl:2)), ((woman:2)), colours, text, logo, (worst quality:2), (low quality:2), (normal quality:1.8), lowres, ((monochrome)), ((grayscale)), sketch, ugly, morbid, deformed,logo,text, bad anatomy, bad proportions, bad_prompt_version2-neg, EasyNegativeV2, bad-hands-5
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0.1
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2440091730
width
Output image width
768
height
Output image height
768
reference_image
Image that the output should be similar to
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 2M SDE Karras
samping_steps
Number of denoising steps
50
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_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 232.9 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (Man), handsome, (beard), (masterpiece, best quality, high resolution:1.4), looking at the viewer, holding a glass of wine, skin pores texture, sharp, Hair blonde, HD, Photography, movie, cinematic, full Body, Realistic, (8k, RAW photo, best quality, masterpiece:1.2), (realistic, photo-realistic:1.33), castle, moon, night, <lora:more_details:0.7>, (intrincate details:1.5), (ultra detailed:1.5), (top quality:1.5), (masterpiece:1.5), (ultra realistic:1.5), <lora:add_detail:0.1>
Full negative prompt: ((girl:2)), ((woman:2)), colours, text, logo, (worst quality:2), (low quality:2), (normal quality:1.8), lowres, ((monochrome)), ((grayscale)), sketch, ugly, morbid, deformed,logo,text, bad anatomy, bad proportions, bad_prompt_version2-neg, EasyNegativeV2, bad-hands-5
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Decoding latents in cuda:0...
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0: 640x640 1 face, 8.4ms
Speed: 3.5ms preprocess, 8.4ms inference, 41.6ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 7.8ms
Speed: 3.2ms preprocess, 7.8ms inference, 3.2ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
===========================================
A tensor with all NaNs was produced in VAE.
Converted VAE into 32-bit float and retry.
===========================================
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0: 640x640 1 face, 8.0ms
Speed: 3.2ms preprocess, 8.0ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 7.2ms
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0: 640x640 1 face, 7.5ms
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0: 640x640 2 hands, 7.3ms
Speed: 3.2ms preprocess, 7.3ms inference, 2.1ms 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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Finished.
prompt
Specify things to see in the output
(Man), handsome, (beard), (masterpiece, best quality, high resolution:1.4), looking at the viewer, holding a glass of wine, skin pores texture, sharp, Hair blonde, HD, Photography, movie, cinematic, full Body, Realistic, (8k, RAW photo, best quality, masterpiece:1.2), (realistic, photo-realistic:1.33), castle, moon, night, <lora:add_detail:0.8>, <lora:more_details:0.7>
negative_prompt
Specify things to not see in the output
((girl:2)), ((woman:2)), colours, text, logo, (worst quality:2), (low quality:2), (normal quality:1.8), lowres, ((monochrome)), ((grayscale)), sketch, ugly, morbid, deformed,logo,text, bad anatomy, bad proportions, bad_prompt_version2-neg, EasyNegativeV2, bad-hands-5
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0.1
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2440091730
width
Output image width
768
height
Output image height
768
reference_image
Image that the output should be similar to
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 2M SDE Karras
samping_steps
Number of denoising steps
50
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_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 232.9 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (Man), handsome, (beard), (masterpiece, best quality, high resolution:1.4), looking at the viewer, holding a glass of wine, skin pores texture, sharp, Hair blonde, HD, Photography, movie, cinematic, full Body, Realistic, (8k, RAW photo, best quality, masterpiece:1.2), (realistic, photo-realistic:1.33), castle, moon, night, <lora:more_details:0.7>, (intrincate details:1.5), (ultra detailed:1.5), (top quality:1.5), (masterpiece:1.5), (ultra realistic:1.5), <lora:add_detail:0.1>
Full negative prompt: ((girl:2)), ((woman:2)), colours, text, logo, (worst quality:2), (low quality:2), (normal quality:1.8), lowres, ((monochrome)), ((grayscale)), sketch, ugly, morbid, deformed,logo,text, bad anatomy, bad proportions, bad_prompt_version2-neg, EasyNegativeV2, bad-hands-5
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Decoding latents in cuda:0...
done in 0.99s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 8.4ms
Speed: 3.5ms preprocess, 8.4ms inference, 41.6ms postprocess per image at shape (1, 3, 640, 640)
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61%|██████ | 17/28 [00:07<00:04, 2.32it/s]
64%|██████▍ | 18/28 [00:08<00:04, 2.34it/s]
68%|██████▊ | 19/28 [00:08<00:04, 2.22it/s]
71%|███████▏ | 20/28 [00:09<00:03, 2.29it/s]
75%|███████▌ | 21/28 [00:09<00:03, 2.32it/s]
79%|███████▊ | 22/28 [00:10<00:02, 2.27it/s]
82%|████████▏ | 23/28 [00:10<00:02, 2.31it/s]
86%|████████▌ | 24/28 [00:10<00:01, 2.39it/s]
89%|████████▉ | 25/28 [00:11<00:01, 2.51it/s]
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100%|██████████| 28/28 [00:12<00:00, 3.25it/s]
100%|██████████| 28/28 [00:12<00:00, 2.33it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.01s
0: 640x640 2 hands, 7.8ms
Speed: 3.2ms preprocess, 7.8ms inference, 3.2ms postprocess per image at shape (1, 3, 640, 640)
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36%|███▌ | 10/28 [00:04<00:08, 2.18it/s]
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50%|█████ | 14/28 [00:06<00:05, 2.33it/s]
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57%|█████▋ | 16/28 [00:07<00:04, 2.44it/s]
61%|██████ | 17/28 [00:07<00:04, 2.35it/s]
64%|██████▍ | 18/28 [00:07<00:04, 2.37it/s]
68%|██████▊ | 19/28 [00:08<00:03, 2.28it/s]
71%|███████▏ | 20/28 [00:08<00:03, 2.29it/s]
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82%|████████▏ | 23/28 [00:10<00:02, 2.33it/s]
86%|████████▌ | 24/28 [00:10<00:01, 2.41it/s]
89%|████████▉ | 25/28 [00:10<00:01, 2.51it/s]
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100%|██████████| 28/28 [00:11<00:00, 3.20it/s]
100%|██████████| 28/28 [00:11<00:00, 2.38it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
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21%|██▏ | 6/28 [00:02<00:10, 2.17it/s]
25%|██▌ | 7/28 [00:03<00:09, 2.18it/s]
29%|██▊ | 8/28 [00:03<00:09, 2.08it/s]
32%|███▏ | 9/28 [00:04<00:08, 2.17it/s]
36%|███▌ | 10/28 [00:04<00:08, 2.23it/s]
39%|███▉ | 11/28 [00:05<00:07, 2.21it/s]
43%|████▎ | 12/28 [00:05<00:07, 2.25it/s]
46%|████▋ | 13/28 [00:05<00:06, 2.23it/s]
50%|█████ | 14/28 [00:06<00:05, 2.34it/s]
54%|█████▎ | 15/28 [00:06<00:05, 2.38it/s]
57%|█████▋ | 16/28 [00:07<00:04, 2.42it/s]
61%|██████ | 17/28 [00:07<00:04, 2.34it/s]
64%|██████▍ | 18/28 [00:07<00:04, 2.35it/s]
68%|██████▊ | 19/28 [00:08<00:03, 2.27it/s]
71%|███████▏ | 20/28 [00:08<00:03, 2.31it/s]
75%|███████▌ | 21/28 [00:09<00:02, 2.34it/s]
79%|███████▊ | 22/28 [00:09<00:02, 2.27it/s]
82%|████████▏ | 23/28 [00:10<00:02, 2.31it/s]
86%|████████▌ | 24/28 [00:10<00:01, 2.39it/s]
89%|████████▉ | 25/28 [00:10<00:01, 2.50it/s]
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100%|██████████| 28/28 [00:11<00:00, 3.23it/s]
100%|██████████| 28/28 [00:11<00:00, 2.38it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.6ms
Speed: 3.1ms preprocess, 7.6ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640)
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21%|██▏ | 6/28 [00:02<00:10, 2.17it/s]
25%|██▌ | 7/28 [00:03<00:09, 2.17it/s]
29%|██▊ | 8/28 [00:03<00:09, 2.08it/s]
32%|███▏ | 9/28 [00:04<00:08, 2.15it/s]
36%|███▌ | 10/28 [00:04<00:08, 2.22it/s]
39%|███▉ | 11/28 [00:05<00:07, 2.20it/s]
43%|████▎ | 12/28 [00:05<00:07, 2.27it/s]
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50%|█████ | 14/28 [00:06<00:05, 2.35it/s]
54%|█████▎ | 15/28 [00:06<00:05, 2.42it/s]
57%|█████▋ | 16/28 [00:07<00:04, 2.44it/s]
61%|██████ | 17/28 [00:07<00:04, 2.34it/s]
64%|██████▍ | 18/28 [00:07<00:04, 2.37it/s]
68%|██████▊ | 19/28 [00:08<00:03, 2.28it/s]
71%|███████▏ | 20/28 [00:08<00:03, 2.33it/s]
75%|███████▌ | 21/28 [00:09<00:02, 2.36it/s]
79%|███████▊ | 22/28 [00:09<00:02, 2.30it/s]
82%|████████▏ | 23/28 [00:10<00:02, 2.33it/s]
86%|████████▌ | 24/28 [00:10<00:01, 2.41it/s]
89%|████████▉ | 25/28 [00:10<00:01, 2.50it/s]
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100%|██████████| 28/28 [00:11<00:00, 3.24it/s]
100%|██████████| 28/28 [00:11<00:00, 2.39it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.7ms
Speed: 2.9ms preprocess, 7.7ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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21%|██▏ | 6/28 [00:02<00:09, 2.22it/s]
25%|██▌ | 7/28 [00:03<00:09, 2.21it/s]
29%|██▊ | 8/28 [00:03<00:09, 2.11it/s]
32%|███▏ | 9/28 [00:04<00:08, 2.20it/s]
36%|███▌ | 10/28 [00:04<00:07, 2.27it/s]
39%|███▉ | 11/28 [00:04<00:07, 2.22it/s]
43%|████▎ | 12/28 [00:05<00:07, 2.28it/s]
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50%|█████ | 14/28 [00:06<00:05, 2.37it/s]
54%|█████▎ | 15/28 [00:06<00:05, 2.42it/s]
57%|█████▋ | 16/28 [00:06<00:04, 2.42it/s]
61%|██████ | 17/28 [00:07<00:04, 2.35it/s]
64%|██████▍ | 18/28 [00:07<00:04, 2.37it/s]
68%|██████▊ | 19/28 [00:08<00:03, 2.28it/s]
71%|███████▏ | 20/28 [00:08<00:03, 2.32it/s]
75%|███████▌ | 21/28 [00:09<00:02, 2.36it/s]
79%|███████▊ | 22/28 [00:09<00:02, 2.31it/s]
82%|████████▏ | 23/28 [00:10<00:02, 2.35it/s]
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100%|██████████| 28/28 [00:11<00:00, 3.21it/s]
100%|██████████| 28/28 [00:11<00:00, 2.40it/s]
Decoding latents in cuda:0...
===========================================
A tensor with all NaNs was produced in VAE.
Converted VAE into 32-bit float and retry.
===========================================
done in 0.44s
Move latents to cpu...
done in 0.23s
0: 640x640 1 face, 8.0ms
Speed: 3.2ms preprocess, 8.0ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640)
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21%|██▏ | 6/28 [00:02<00:10, 2.17it/s]
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29%|██▊ | 8/28 [00:03<00:09, 2.08it/s]
32%|███▏ | 9/28 [00:04<00:08, 2.19it/s]
36%|███▌ | 10/28 [00:04<00:07, 2.26it/s]
39%|███▉ | 11/28 [00:04<00:07, 2.25it/s]
43%|████▎ | 12/28 [00:05<00:06, 2.30it/s]
46%|████▋ | 13/28 [00:05<00:06, 2.29it/s]
50%|█████ | 14/28 [00:06<00:05, 2.40it/s]
54%|█████▎ | 15/28 [00:06<00:05, 2.48it/s]
57%|█████▋ | 16/28 [00:06<00:04, 2.50it/s]
61%|██████ | 17/28 [00:07<00:04, 2.42it/s]
64%|██████▍ | 18/28 [00:07<00:04, 2.40it/s]
68%|██████▊ | 19/28 [00:08<00:03, 2.32it/s]
71%|███████▏ | 20/28 [00:08<00:03, 2.38it/s]
75%|███████▌ | 21/28 [00:09<00:02, 2.39it/s]
79%|███████▊ | 22/28 [00:09<00:02, 2.33it/s]
82%|████████▏ | 23/28 [00:10<00:02, 2.34it/s]
86%|████████▌ | 24/28 [00:10<00:01, 2.43it/s]
89%|████████▉ | 25/28 [00:10<00:01, 2.54it/s]
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96%|█████████▋| 27/28 [00:11<00:00, 2.85it/s]
100%|██████████| 28/28 [00:11<00:00, 3.24it/s]
100%|██████████| 28/28 [00:11<00:00, 2.42it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.2ms
Speed: 3.2ms preprocess, 7.2ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/28 [00:00<?, ?it/s]
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7%|▋ | 2/28 [00:00<00:12, 2.12it/s]
11%|█ | 3/28 [00:01<00:11, 2.24it/s]
14%|█▍ | 4/28 [00:01<00:10, 2.24it/s]
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21%|██▏ | 6/28 [00:02<00:10, 2.13it/s]
25%|██▌ | 7/28 [00:03<00:09, 2.12it/s]
29%|██▊ | 8/28 [00:03<00:09, 2.06it/s]
32%|███▏ | 9/28 [00:04<00:08, 2.15it/s]
36%|███▌ | 10/28 [00:04<00:08, 2.22it/s]
39%|███▉ | 11/28 [00:05<00:07, 2.20it/s]
43%|████▎ | 12/28 [00:05<00:07, 2.26it/s]
46%|████▋ | 13/28 [00:05<00:06, 2.26it/s]
50%|█████ | 14/28 [00:06<00:05, 2.35it/s]
54%|█████▎ | 15/28 [00:06<00:05, 2.44it/s]
57%|█████▋ | 16/28 [00:07<00:04, 2.48it/s]
61%|██████ | 17/28 [00:07<00:04, 2.39it/s]
64%|██████▍ | 18/28 [00:07<00:04, 2.42it/s]
68%|██████▊ | 19/28 [00:08<00:03, 2.32it/s]
71%|███████▏ | 20/28 [00:08<00:03, 2.37it/s]
75%|███████▌ | 21/28 [00:09<00:02, 2.40it/s]
79%|███████▊ | 22/28 [00:09<00:02, 2.32it/s]
82%|████████▏ | 23/28 [00:10<00:02, 2.35it/s]
86%|████████▌ | 24/28 [00:10<00:01, 2.36it/s]
89%|████████▉ | 25/28 [00:10<00:01, 2.46it/s]
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96%|█████████▋| 27/28 [00:11<00:00, 2.79it/s]
100%|██████████| 28/28 [00:11<00:00, 3.20it/s]
100%|██████████| 28/28 [00:11<00:00, 2.39it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0%| | 0/28 [00:00<?, ?it/s]
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7%|▋ | 2/28 [00:00<00:12, 2.12it/s]
11%|█ | 3/28 [00:01<00:11, 2.26it/s]
14%|█▍ | 4/28 [00:01<00:10, 2.24it/s]
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21%|██▏ | 6/28 [00:02<00:10, 2.16it/s]
25%|██▌ | 7/28 [00:03<00:09, 2.14it/s]
29%|██▊ | 8/28 [00:03<00:09, 2.07it/s]
32%|███▏ | 9/28 [00:04<00:08, 2.14it/s]
36%|███▌ | 10/28 [00:04<00:08, 2.21it/s]
39%|███▉ | 11/28 [00:05<00:07, 2.20it/s]
43%|████▎ | 12/28 [00:05<00:07, 2.21it/s]
46%|████▋ | 13/28 [00:05<00:06, 2.22it/s]
50%|█████ | 14/28 [00:06<00:06, 2.30it/s]
54%|█████▎ | 15/28 [00:06<00:05, 2.39it/s]
57%|█████▋ | 16/28 [00:07<00:04, 2.43it/s]
61%|██████ | 17/28 [00:07<00:04, 2.31it/s]
64%|██████▍ | 18/28 [00:08<00:04, 2.33it/s]
68%|██████▊ | 19/28 [00:08<00:04, 2.24it/s]
71%|███████▏ | 20/28 [00:08<00:03, 2.32it/s]
75%|███████▌ | 21/28 [00:09<00:02, 2.36it/s]
79%|███████▊ | 22/28 [00:09<00:02, 2.28it/s]
82%|████████▏ | 23/28 [00:10<00:02, 2.33it/s]
86%|████████▌ | 24/28 [00:10<00:01, 2.38it/s]
89%|████████▉ | 25/28 [00:10<00:01, 2.49it/s]
93%|█████████▎| 26/28 [00:11<00:00, 2.46it/s]
96%|█████████▋| 27/28 [00:11<00:00, 2.81it/s]
100%|██████████| 28/28 [00:11<00:00, 3.22it/s]
100%|██████████| 28/28 [00:11<00:00, 2.37it/s]
Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.5ms
Speed: 3.3ms preprocess, 7.5ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/28 [00:00<?, ?it/s]
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21%|██▏ | 6/28 [00:02<00:10, 2.15it/s]
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29%|██▊ | 8/28 [00:03<00:09, 2.05it/s]
32%|███▏ | 9/28 [00:04<00:08, 2.16it/s]
36%|███▌ | 10/28 [00:04<00:08, 2.22it/s]
39%|███▉ | 11/28 [00:05<00:07, 2.18it/s]
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50%|█████ | 14/28 [00:06<00:05, 2.34it/s]
54%|█████▎ | 15/28 [00:06<00:05, 2.41it/s]
57%|█████▋ | 16/28 [00:07<00:04, 2.45it/s]
61%|██████ | 17/28 [00:07<00:04, 2.35it/s]
64%|██████▍ | 18/28 [00:07<00:04, 2.36it/s]
68%|██████▊ | 19/28 [00:08<00:03, 2.26it/s]
71%|███████▏ | 20/28 [00:08<00:03, 2.31it/s]
75%|███████▌ | 21/28 [00:09<00:02, 2.36it/s]
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100%|██████████| 28/28 [00:11<00:00, 3.22it/s]
100%|██████████| 28/28 [00:11<00:00, 2.38it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.3ms
Speed: 3.2ms preprocess, 7.3ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 28/28 [00:11<00:00, 3.27it/s]
100%|██████████| 28/28 [00:11<00:00, 2.39it/s]
Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
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39%|███▉ | 11/28 [00:05<00:07, 2.22it/s]
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61%|██████ | 17/28 [00:07<00:04, 2.37it/s]
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100%|██████████| 28/28 [00:11<00:00, 3.26it/s]
100%|██████████| 28/28 [00:11<00:00, 2.40it/s]
Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
Finished.