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Bearded Guys with Vinava AM
vinava-am:v1.0
evevalentine2017
evevalentine2017
·
Jan 2
330
Input
prompt
Specify things to see in the output
masterpiece disney pixar anime close-up of a homeless guy with a big wide smile, scruffy beard, knit hait, <lora:more_details:0.7>
negative_prompt
Specify things to not see in the output
nude, topless, nipples, nsfw, By bad artist -neg, ((portrait)), ((focus on face)), ng_deepnegative_v1_75t, verybadimagenegative_v1.3, watermark, text, bad hands, poorly drawn hands
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
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
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
963149786
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
30
cfg_scale
Scale for classifier-free guidance
8.5
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>
more_details.safetensors
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)
By bad artist -neg.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
verybadimagenegative_v1.3.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/c3691c8c0a8148e883ddbfcd5b62157f/00000-963149786.webp
https://files.tungsten.run/uploads/c55b1573588b470795796947485ed861/00001-963149787.webp
https://files.tungsten.run/uploads/1c45ace45ced41f5884215ae5de24852/00002-963149788.webp
https://files.tungsten.run/uploads/f31afaa560364f029d49cf96ba79a8db/00003-963149789.webp
Finished in 45.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: masterpiece disney pixar anime close-up of a homeless guy with a big wide smile, scruffy beard, knit hait, <lora:more_details:0.7>, <lora:add_detail:0.1>, <lora:contrast_slider_v10:0.2> Full negative prompt: nude, topless, nipples, nsfw, By bad artist -neg, ((portrait)), ((focus on face)), ng_deepnegative_v1_75t, verybadimagenegative_v1.3, watermark, text, bad hands, poorly drawn hands 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:38, 1.33s/it] 7%|▋ | 2/30 [00:01<00:26, 1.06it/s] 10%|█ | 3/30 [00:02<00:21, 1.24it/s] 13%|█▎ | 4/30 [00:03<00:19, 1.32it/s] 17%|█▋ | 5/30 [00:03<00:18, 1.38it/s] 20%|██ | 6/30 [00:04<00:16, 1.42it/s] 23%|██▎ | 7/30 [00:05<00:15, 1.44it/s] 27%|██▋ | 8/30 [00:05<00:15, 1.46it/s] 30%|███ | 9/30 [00:06<00:14, 1.47it/s] 33%|███▎ | 10/30 [00:07<00:13, 1.47it/s] 37%|███▋ | 11/30 [00:08<00:12, 1.48it/s] 40%|████ | 12/30 [00:08<00:12, 1.48it/s] 43%|████▎ | 13/30 [00:09<00:11, 1.48it/s] 47%|████▋ | 14/30 [00:10<00:10, 1.49it/s] 50%|█████ | 15/30 [00:10<00:10, 1.48it/s] 53%|█████▎ | 16/30 [00:11<00:09, 1.48it/s] 57%|█████▋ | 17/30 [00:12<00:08, 1.48it/s] 60%|██████ | 18/30 [00:12<00:08, 1.48it/s] 63%|██████▎ | 19/30 [00:13<00:07, 1.48it/s] 67%|██████▋ | 20/30 [00:14<00:06, 1.48it/s] 70%|███████ | 21/30 [00:14<00:06, 1.48it/s] 73%|███████▎ | 22/30 [00:15<00:05, 1.48it/s] 77%|███████▋ | 23/30 [00:16<00:04, 1.47it/s] 80%|████████ | 24/30 [00:16<00:04, 1.47it/s] 83%|████████▎ | 25/30 [00:17<00:03, 1.47it/s] 87%|████████▋ | 26/30 [00:18<00:02, 1.47it/s] 90%|█████████ | 27/30 [00:18<00:02, 1.47it/s] 93%|█████████▎| 28/30 [00:19<00:01, 1.47it/s] 97%|█████████▋| 29/30 [00:20<00:00, 1.47it/s] 100%|██████████| 30/30 [00:20<00:00, 1.47it/s] 100%|██████████| 30/30 [00:20<00:00, 1.44it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.6ms Speed: 2.9ms preprocess, 7.6ms inference, 32.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:04, 3.27it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.63it/s] 18%|█▊ | 3/17 [00:00<00:02, 5.29it/s] 24%|██▎ | 4/17 [00:00<00:02, 5.70it/s] 29%|██▉ | 5/17 [00:00<00:02, 5.93it/s] 35%|███▌ | 6/17 [00:01<00:01, 6.06it/s] 41%|████ | 7/17 [00:01<00:01, 6.14it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.27it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.34it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.37it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.32it/s] 71%|███████ | 12/17 [00:02<00:00, 6.30it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.26it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.31it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.34it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.31it/s] 100%|██████████| 17/17 [00:02<00:00, 6.32it/s] 100%|██████████| 17/17 [00:02<00:00, 6.03it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.37it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.39it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.38it/s] 24%|██▎ | 4/17 [00:00<00:02, 6.43it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.47it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.39it/s] 41%|████ | 7/17 [00:01<00:01, 6.36it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.35it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.32it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.36it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.38it/s] 71%|███████ | 12/17 [00:01<00:00, 6.37it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.30it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.27it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.25it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.28it/s] 100%|██████████| 17/17 [00:02<00:00, 6.32it/s] 100%|██████████| 17/17 [00:02<00:00, 6.34it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.91it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.63it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.58it/s] 24%|██▎ | 4/17 [00:00<00:02, 6.49it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.50it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.37it/s] 41%|████ | 7/17 [00:01<00:01, 6.26it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.25it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.29it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.34it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.40it/s] 71%|███████ | 12/17 [00:01<00:00, 6.37it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.29it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.25it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.29it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.33it/s] 100%|██████████| 17/17 [00:02<00:00, 6.37it/s] 100%|██████████| 17/17 [00:02<00:00, 6.37it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.84it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.57it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.53it/s] 24%|██▎ | 4/17 [00:00<00:02, 6.47it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.47it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.40it/s] 41%|████ | 7/17 [00:01<00:01, 6.32it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.34it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.36it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.37it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.35it/s] 71%|███████ | 12/17 [00:01<00:00, 6.31it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.34it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.34it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.35it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.36it/s] 100%|██████████| 17/17 [00:02<00:00, 6.35it/s] 100%|██████████| 17/17 [00:02<00:00, 6.38it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
masterpiece disney pixar anime close-up of a homeless guy with a big wide smile, scruffy beard, knit hait, <lora:more_details:0.7>
negative_prompt
Specify things to not see in the output
nude, topless, nipples, nsfw, By bad artist -neg, ((portrait)), ((focus on face)), ng_deepnegative_v1_75t, verybadimagenegative_v1.3, watermark, text, bad hands, poorly drawn hands
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
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
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
963149786
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
30
cfg_scale
Scale for classifier-free guidance
8.5
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>
more_details.safetensors
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)
By bad artist -neg.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
verybadimagenegative_v1.3.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/c3691c8c0a8148e883ddbfcd5b62157f/00000-963149786.webp
https://files.tungsten.run/uploads/c55b1573588b470795796947485ed861/00001-963149787.webp
https://files.tungsten.run/uploads/1c45ace45ced41f5884215ae5de24852/00002-963149788.webp
https://files.tungsten.run/uploads/f31afaa560364f029d49cf96ba79a8db/00003-963149789.webp
Finished in 45.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: masterpiece disney pixar anime close-up of a homeless guy with a big wide smile, scruffy beard, knit hait, <lora:more_details:0.7>, <lora:add_detail:0.1>, <lora:contrast_slider_v10:0.2> Full negative prompt: nude, topless, nipples, nsfw, By bad artist -neg, ((portrait)), ((focus on face)), ng_deepnegative_v1_75t, verybadimagenegative_v1.3, watermark, text, bad hands, poorly drawn hands 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:38, 1.33s/it] 7%|▋ | 2/30 [00:01<00:26, 1.06it/s] 10%|█ | 3/30 [00:02<00:21, 1.24it/s] 13%|█▎ | 4/30 [00:03<00:19, 1.32it/s] 17%|█▋ | 5/30 [00:03<00:18, 1.38it/s] 20%|██ | 6/30 [00:04<00:16, 1.42it/s] 23%|██▎ | 7/30 [00:05<00:15, 1.44it/s] 27%|██▋ | 8/30 [00:05<00:15, 1.46it/s] 30%|███ | 9/30 [00:06<00:14, 1.47it/s] 33%|███▎ | 10/30 [00:07<00:13, 1.47it/s] 37%|███▋ | 11/30 [00:08<00:12, 1.48it/s] 40%|████ | 12/30 [00:08<00:12, 1.48it/s] 43%|████▎ | 13/30 [00:09<00:11, 1.48it/s] 47%|████▋ | 14/30 [00:10<00:10, 1.49it/s] 50%|█████ | 15/30 [00:10<00:10, 1.48it/s] 53%|█████▎ | 16/30 [00:11<00:09, 1.48it/s] 57%|█████▋ | 17/30 [00:12<00:08, 1.48it/s] 60%|██████ | 18/30 [00:12<00:08, 1.48it/s] 63%|██████▎ | 19/30 [00:13<00:07, 1.48it/s] 67%|██████▋ | 20/30 [00:14<00:06, 1.48it/s] 70%|███████ | 21/30 [00:14<00:06, 1.48it/s] 73%|███████▎ | 22/30 [00:15<00:05, 1.48it/s] 77%|███████▋ | 23/30 [00:16<00:04, 1.47it/s] 80%|████████ | 24/30 [00:16<00:04, 1.47it/s] 83%|████████▎ | 25/30 [00:17<00:03, 1.47it/s] 87%|████████▋ | 26/30 [00:18<00:02, 1.47it/s] 90%|█████████ | 27/30 [00:18<00:02, 1.47it/s] 93%|█████████▎| 28/30 [00:19<00:01, 1.47it/s] 97%|█████████▋| 29/30 [00:20<00:00, 1.47it/s] 100%|██████████| 30/30 [00:20<00:00, 1.47it/s] 100%|██████████| 30/30 [00:20<00:00, 1.44it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.6ms Speed: 2.9ms preprocess, 7.6ms inference, 32.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:04, 3.27it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.63it/s] 18%|█▊ | 3/17 [00:00<00:02, 5.29it/s] 24%|██▎ | 4/17 [00:00<00:02, 5.70it/s] 29%|██▉ | 5/17 [00:00<00:02, 5.93it/s] 35%|███▌ | 6/17 [00:01<00:01, 6.06it/s] 41%|████ | 7/17 [00:01<00:01, 6.14it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.27it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.34it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.37it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.32it/s] 71%|███████ | 12/17 [00:02<00:00, 6.30it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.26it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.31it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.34it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.31it/s] 100%|██████████| 17/17 [00:02<00:00, 6.32it/s] 100%|██████████| 17/17 [00:02<00:00, 6.03it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.37it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.39it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.38it/s] 24%|██▎ | 4/17 [00:00<00:02, 6.43it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.47it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.39it/s] 41%|████ | 7/17 [00:01<00:01, 6.36it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.35it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.32it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.36it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.38it/s] 71%|███████ | 12/17 [00:01<00:00, 6.37it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.30it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.27it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.25it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.28it/s] 100%|██████████| 17/17 [00:02<00:00, 6.32it/s] 100%|██████████| 17/17 [00:02<00:00, 6.34it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.91it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.63it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.58it/s] 24%|██▎ | 4/17 [00:00<00:02, 6.49it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.50it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.37it/s] 41%|████ | 7/17 [00:01<00:01, 6.26it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.25it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.29it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.34it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.40it/s] 71%|███████ | 12/17 [00:01<00:00, 6.37it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.29it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.25it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.29it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.33it/s] 100%|██████████| 17/17 [00:02<00:00, 6.37it/s] 100%|██████████| 17/17 [00:02<00:00, 6.37it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.84it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.57it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.53it/s] 24%|██▎ | 4/17 [00:00<00:02, 6.47it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.47it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.40it/s] 41%|████ | 7/17 [00:01<00:01, 6.32it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.34it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.36it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.37it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.35it/s] 71%|███████ | 12/17 [00:01<00:00, 6.31it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.34it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.34it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.35it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.36it/s] 100%|██████████| 17/17 [00:02<00:00, 6.35it/s] 100%|██████████| 17/17 [00:02<00:00, 6.38it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.