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Handsome Vampire with SimplyBeautiful
simplybeautiful:v1.0
evevalentine2017
evevalentine2017
·
12/11/2023
342
Input
prompt
Specify things to see in the output
professional photograph of a stunning man detailed, the most handsome in the world, a Laborwave male vampire with long Ivory hair AND entropy, sharp focus, dramatic, award winning, cinematic lighting, volumetrics dtx, (film grain, bokeh, interaction), (masterpiece), (extremely intricate:1.3), (full body shot), (ultra realistic:1.5), <lora:FaceBeauty_qinglong_V3:1>
negative_prompt
Specify things to not see in the output
blurry, EasyNegativeV2, bad-hands-5, (worst quality, low quality:1.4), loli, child, young, teenager, childlike, teen
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
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
0.2
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.
1504623652
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 Karras
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
blessed2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
deep.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
offset_p-0.5-0.1.pt
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
EasyNegativeV2.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
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/0f9d909ce04640d2ba1bdde21c2bf02d/00000-1504623652.png
https://files.tungsten.run/uploads/4c30650954244ada9fad3dd42b37867e/00001-1504623653.png
https://files.tungsten.run/uploads/8db973f30b844c5e9ebc618836dd2554/00002-1504623654.png
https://files.tungsten.run/uploads/d86f316243e54fc3ac8df2613e4d5f52/00003-1504623655.png
Finished in 65.8 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: professional photograph of a stunning man detailed, the most handsome in the world, a Laborwave male vampire with long Ivory hair AND entropy, sharp focus, dramatic, award winning, cinematic lighting, volumetrics dtx, (film grain, bokeh, interaction), (masterpiece), (extremely intricate:1.3), (full body shot), (ultra realistic:1.5), <lora:FaceBeauty_qinglong_V3:1>, (masterpiece:1.5), (best quality:1.5), (ultra detailed:1.5), (ultra realistic:1.5), <lora:add_detail:0.1>, <lora:contrast_slider_v10:0.2> Full negative prompt: blurry, EasyNegativeV2, bad-hands-5, (worst quality, low quality:1.4), loli, child, young, teenager, childlike, teen 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:47, 1.65s/it] 7%|▋ | 2/30 [00:02<00:36, 1.29s/it] 10%|█ | 3/30 [00:03<00:31, 1.18s/it] 13%|█▎ | 4/30 [00:04<00:29, 1.13s/it] 17%|█▋ | 5/30 [00:05<00:27, 1.10s/it] 20%|██ | 6/30 [00:06<00:26, 1.08s/it] 23%|██▎ | 7/30 [00:07<00:24, 1.08s/it] 27%|██▋ | 8/30 [00:09<00:23, 1.07s/it] 30%|███ | 9/30 [00:10<00:22, 1.07s/it] 33%|███▎ | 10/30 [00:11<00:21, 1.07s/it] 37%|███▋ | 11/30 [00:12<00:20, 1.07s/it] 40%|████ | 12/30 [00:13<00:19, 1.07s/it] 43%|████▎ | 13/30 [00:14<00:18, 1.07s/it] 47%|████▋ | 14/30 [00:15<00:17, 1.07s/it] 50%|█████ | 15/30 [00:16<00:16, 1.07s/it] 53%|█████▎ | 16/30 [00:17<00:14, 1.07s/it] 57%|█████▋ | 17/30 [00:18<00:13, 1.07s/it] 60%|██████ | 18/30 [00:19<00:12, 1.07s/it] 63%|██████▎ | 19/30 [00:20<00:11, 1.07s/it] 67%|██████▋ | 20/30 [00:21<00:10, 1.07s/it] 70%|███████ | 21/30 [00:22<00:09, 1.07s/it] 73%|███████▎ | 22/30 [00:23<00:08, 1.07s/it] 77%|███████▋ | 23/30 [00:25<00:07, 1.07s/it] 80%|████████ | 24/30 [00:26<00:06, 1.07s/it] 83%|████████▎ | 25/30 [00:27<00:05, 1.07s/it] 87%|████████▋ | 26/30 [00:28<00:04, 1.07s/it] 90%|█████████ | 27/30 [00:29<00:03, 1.07s/it] 93%|█████████▎| 28/30 [00:30<00:02, 1.06s/it] 97%|█████████▋| 29/30 [00:31<00:01, 1.06s/it] 100%|██████████| 30/30 [00:32<00:00, 1.06s/it] 100%|██████████| 30/30 [00:32<00:00, 1.08s/it] Decoding latents in cuda:0... done in 1.01s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.6ms Speed: 3.6ms preprocess, 8.6ms inference, 32.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:05, 3.11it/s] 12%|█▏ | 2/17 [00:00<00:04, 3.73it/s] 18%|█▊ | 3/17 [00:00<00:03, 3.96it/s] 24%|██▎ | 4/17 [00:01<00:03, 3.99it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.02it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.09it/s] 41%|████ | 7/17 [00:01<00:02, 4.15it/s] 47%|████▋ | 8/17 [00:01<00:02, 4.13it/s] 53%|█████▎ | 9/17 [00:02<00:01, 4.11it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.14it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.18it/s] 71%|███████ | 12/17 [00:02<00:01, 4.17it/s] 76%|███████▋ | 13/17 [00:03<00:00, 4.14it/s] 82%|████████▏ | 14/17 [00:03<00:00, 4.14it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.16it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.17it/s] 100%|██████████| 17/17 [00:04<00:00, 4.11it/s] 100%|██████████| 17/17 [00:04<00:00, 4.08it/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 0.45s Move latents to cpu... done in 0.22s 0: 640x640 1 face, 7.2ms Speed: 2.9ms preprocess, 7.2ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.40it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.33it/s] 18%|█▊ | 3/17 [00:00<00:03, 4.29it/s] 24%|██▎ | 4/17 [00:00<00:03, 4.21it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.20it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.21it/s] 41%|████ | 7/17 [00:01<00:02, 4.22it/s] 47%|████▋ | 8/17 [00:01<00:02, 4.20it/s] 53%|█████▎ | 9/17 [00:02<00:01, 4.20it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.20it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.22it/s] 71%|███████ | 12/17 [00:02<00:01, 4.22it/s] 76%|███████▋ | 13/17 [00:03<00:00, 4.21it/s] 82%|████████▏ | 14/17 [00:03<00:00, 4.20it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.20it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.21it/s] 100%|██████████| 17/17 [00:04<00:00, 4.21it/s] 100%|██████████| 17/17 [00:04<00:00, 4.22it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.25it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.26it/s] 18%|█▊ | 3/17 [00:00<00:03, 4.26it/s] 24%|██▎ | 4/17 [00:00<00:03, 4.20it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.19it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.21it/s] 41%|████ | 7/17 [00:01<00:02, 4.22it/s] 47%|████▋ | 8/17 [00:01<00:02, 4.20it/s] 53%|█████▎ | 9/17 [00:02<00:01, 4.18it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.19it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.21it/s] 71%|███████ | 12/17 [00:02<00:01, 4.20it/s] 76%|███████▋ | 13/17 [00:03<00:00, 4.16it/s] 82%|████████▏ | 14/17 [00:03<00:00, 4.17it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.19it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.18it/s] 100%|██████████| 17/17 [00:04<00:00, 4.17it/s] 100%|██████████| 17/17 [00:04<00:00, 4.19it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 2.8ms preprocess, 7.8ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.46it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.35it/s] 18%|█▊ | 3/17 [00:00<00:03, 4.32it/s] 24%|██▎ | 4/17 [00:00<00:03, 4.23it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.14it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.17it/s] 41%|████ | 7/17 [00:01<00:02, 4.20it/s] 47%|████▋ | 8/17 [00:01<00:02, 4.05it/s] 53%|█████▎ | 9/17 [00:02<00:01, 4.09it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.12it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.16it/s] 71%|███████ | 12/17 [00:02<00:01, 4.14it/s] 76%|███████▋ | 13/17 [00:03<00:00, 4.13it/s] 82%|████████▏ | 14/17 [00:03<00:00, 4.13it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.16it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.15it/s] 100%|██████████| 17/17 [00:04<00:00, 4.13it/s] 100%|██████████| 17/17 [00:04<00:00, 4.16it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s Finished.
prompt
Specify things to see in the output
professional photograph of a stunning man detailed, the most handsome in the world, a Laborwave male vampire with long Ivory hair AND entropy, sharp focus, dramatic, award winning, cinematic lighting, volumetrics dtx, (film grain, bokeh, interaction), (masterpiece), (extremely intricate:1.3), (full body shot), (ultra realistic:1.5), <lora:FaceBeauty_qinglong_V3:1>
negative_prompt
Specify things to not see in the output
blurry, EasyNegativeV2, bad-hands-5, (worst quality, low quality:1.4), loli, child, young, teenager, childlike, teen
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
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
0.2
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.
1504623652
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 Karras
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
blessed2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
deep.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
offset_p-0.5-0.1.pt
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
EasyNegativeV2.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
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/0f9d909ce04640d2ba1bdde21c2bf02d/00000-1504623652.png
https://files.tungsten.run/uploads/4c30650954244ada9fad3dd42b37867e/00001-1504623653.png
https://files.tungsten.run/uploads/8db973f30b844c5e9ebc618836dd2554/00002-1504623654.png
https://files.tungsten.run/uploads/d86f316243e54fc3ac8df2613e4d5f52/00003-1504623655.png
Finished in 65.8 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: professional photograph of a stunning man detailed, the most handsome in the world, a Laborwave male vampire with long Ivory hair AND entropy, sharp focus, dramatic, award winning, cinematic lighting, volumetrics dtx, (film grain, bokeh, interaction), (masterpiece), (extremely intricate:1.3), (full body shot), (ultra realistic:1.5), <lora:FaceBeauty_qinglong_V3:1>, (masterpiece:1.5), (best quality:1.5), (ultra detailed:1.5), (ultra realistic:1.5), <lora:add_detail:0.1>, <lora:contrast_slider_v10:0.2> Full negative prompt: blurry, EasyNegativeV2, bad-hands-5, (worst quality, low quality:1.4), loli, child, young, teenager, childlike, teen 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:47, 1.65s/it] 7%|▋ | 2/30 [00:02<00:36, 1.29s/it] 10%|█ | 3/30 [00:03<00:31, 1.18s/it] 13%|█▎ | 4/30 [00:04<00:29, 1.13s/it] 17%|█▋ | 5/30 [00:05<00:27, 1.10s/it] 20%|██ | 6/30 [00:06<00:26, 1.08s/it] 23%|██▎ | 7/30 [00:07<00:24, 1.08s/it] 27%|██▋ | 8/30 [00:09<00:23, 1.07s/it] 30%|███ | 9/30 [00:10<00:22, 1.07s/it] 33%|███▎ | 10/30 [00:11<00:21, 1.07s/it] 37%|███▋ | 11/30 [00:12<00:20, 1.07s/it] 40%|████ | 12/30 [00:13<00:19, 1.07s/it] 43%|████▎ | 13/30 [00:14<00:18, 1.07s/it] 47%|████▋ | 14/30 [00:15<00:17, 1.07s/it] 50%|█████ | 15/30 [00:16<00:16, 1.07s/it] 53%|█████▎ | 16/30 [00:17<00:14, 1.07s/it] 57%|█████▋ | 17/30 [00:18<00:13, 1.07s/it] 60%|██████ | 18/30 [00:19<00:12, 1.07s/it] 63%|██████▎ | 19/30 [00:20<00:11, 1.07s/it] 67%|██████▋ | 20/30 [00:21<00:10, 1.07s/it] 70%|███████ | 21/30 [00:22<00:09, 1.07s/it] 73%|███████▎ | 22/30 [00:23<00:08, 1.07s/it] 77%|███████▋ | 23/30 [00:25<00:07, 1.07s/it] 80%|████████ | 24/30 [00:26<00:06, 1.07s/it] 83%|████████▎ | 25/30 [00:27<00:05, 1.07s/it] 87%|████████▋ | 26/30 [00:28<00:04, 1.07s/it] 90%|█████████ | 27/30 [00:29<00:03, 1.07s/it] 93%|█████████▎| 28/30 [00:30<00:02, 1.06s/it] 97%|█████████▋| 29/30 [00:31<00:01, 1.06s/it] 100%|██████████| 30/30 [00:32<00:00, 1.06s/it] 100%|██████████| 30/30 [00:32<00:00, 1.08s/it] Decoding latents in cuda:0... done in 1.01s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.6ms Speed: 3.6ms preprocess, 8.6ms inference, 32.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:05, 3.11it/s] 12%|█▏ | 2/17 [00:00<00:04, 3.73it/s] 18%|█▊ | 3/17 [00:00<00:03, 3.96it/s] 24%|██▎ | 4/17 [00:01<00:03, 3.99it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.02it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.09it/s] 41%|████ | 7/17 [00:01<00:02, 4.15it/s] 47%|████▋ | 8/17 [00:01<00:02, 4.13it/s] 53%|█████▎ | 9/17 [00:02<00:01, 4.11it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.14it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.18it/s] 71%|███████ | 12/17 [00:02<00:01, 4.17it/s] 76%|███████▋ | 13/17 [00:03<00:00, 4.14it/s] 82%|████████▏ | 14/17 [00:03<00:00, 4.14it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.16it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.17it/s] 100%|██████████| 17/17 [00:04<00:00, 4.11it/s] 100%|██████████| 17/17 [00:04<00:00, 4.08it/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 0.45s Move latents to cpu... done in 0.22s 0: 640x640 1 face, 7.2ms Speed: 2.9ms preprocess, 7.2ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.40it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.33it/s] 18%|█▊ | 3/17 [00:00<00:03, 4.29it/s] 24%|██▎ | 4/17 [00:00<00:03, 4.21it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.20it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.21it/s] 41%|████ | 7/17 [00:01<00:02, 4.22it/s] 47%|████▋ | 8/17 [00:01<00:02, 4.20it/s] 53%|█████▎ | 9/17 [00:02<00:01, 4.20it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.20it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.22it/s] 71%|███████ | 12/17 [00:02<00:01, 4.22it/s] 76%|███████▋ | 13/17 [00:03<00:00, 4.21it/s] 82%|████████▏ | 14/17 [00:03<00:00, 4.20it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.20it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.21it/s] 100%|██████████| 17/17 [00:04<00:00, 4.21it/s] 100%|██████████| 17/17 [00:04<00:00, 4.22it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.25it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.26it/s] 18%|█▊ | 3/17 [00:00<00:03, 4.26it/s] 24%|██▎ | 4/17 [00:00<00:03, 4.20it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.19it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.21it/s] 41%|████ | 7/17 [00:01<00:02, 4.22it/s] 47%|████▋ | 8/17 [00:01<00:02, 4.20it/s] 53%|█████▎ | 9/17 [00:02<00:01, 4.18it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.19it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.21it/s] 71%|███████ | 12/17 [00:02<00:01, 4.20it/s] 76%|███████▋ | 13/17 [00:03<00:00, 4.16it/s] 82%|████████▏ | 14/17 [00:03<00:00, 4.17it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.19it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.18it/s] 100%|██████████| 17/17 [00:04<00:00, 4.17it/s] 100%|██████████| 17/17 [00:04<00:00, 4.19it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 2.8ms preprocess, 7.8ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.46it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.35it/s] 18%|█▊ | 3/17 [00:00<00:03, 4.32it/s] 24%|██▎ | 4/17 [00:00<00:03, 4.23it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.14it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.17it/s] 41%|████ | 7/17 [00:01<00:02, 4.20it/s] 47%|████▋ | 8/17 [00:01<00:02, 4.05it/s] 53%|█████▎ | 9/17 [00:02<00:01, 4.09it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.12it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.16it/s] 71%|███████ | 12/17 [00:02<00:01, 4.14it/s] 76%|███████▋ | 13/17 [00:03<00:00, 4.13it/s] 82%|████████▏ | 14/17 [00:03<00:00, 4.13it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.16it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.15it/s] 100%|██████████| 17/17 [00:04<00:00, 4.13it/s] 100%|██████████| 17/17 [00:04<00:00, 4.16it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s Finished.