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Steampunk Man with Aurora SDXL
aurora-sdxl:v1.0
evevalentine2017
evevalentine2017
·
Mar 15
346
Input
prompt
Specify things to see in the output
(masterful artwork:1.4) of a 20 yo. steampunk man, victorian village background
negative_prompt
Specify things to not see in the output
inconsistent, unrealistic, (fused, forked, branching, cloned, mutated, mutilated, broken, mushroomed, joined, duplicated:1.3), (photography, anime, 3d, render:1.5)
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1714589370
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
50
cfg_scale
Scale for classifier-free guidance
7.5
clip_skip
The number of last layers of CLIP network to skip
1
vae
Select VAE
None
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)
OverallDetail-embedding.pt
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/014c66239d5048f3877ce3510e335302/00000-1714589370.webp
https://files.tungsten.run/uploads/fe8c38134cc640589f0834130804d83e/00001-1714589371.webp
https://files.tungsten.run/uploads/700350dd423a468ba6ba423a9e05f5c5/00002-1714589372.webp
Finished in 94.7 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: (masterful artwork:1.4) of a 20 yo. steampunk man, victorian village background Full negative prompt: inconsistent, unrealistic, (fused, forked, branching, cloned, mutated, mutilated, broken, mushroomed, joined, duplicated:1.3), (photography, anime, 3d, render:1.5) 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:44, 1.10it/s] 4%|▍ | 2/50 [00:01<00:43, 1.10it/s] 6%|▌ | 3/50 [00:02<00:42, 1.10it/s] 8%|▊ | 4/50 [00:03<00:42, 1.10it/s] 10%|█ | 5/50 [00:04<00:41, 1.09it/s] 12%|█▏ | 6/50 [00:05<00:40, 1.09it/s] 14%|█▍ | 7/50 [00:06<00:39, 1.09it/s] 16%|█▌ | 8/50 [00:07<00:38, 1.09it/s] 18%|█▊ | 9/50 [00:08<00:37, 1.09it/s] 20%|██ | 10/50 [00:09<00:36, 1.09it/s] 22%|██▏ | 11/50 [00:10<00:35, 1.09it/s] 24%|██▍ | 12/50 [00:10<00:34, 1.09it/s] 26%|██▌ | 13/50 [00:11<00:33, 1.09it/s] 28%|██▊ | 14/50 [00:12<00:32, 1.09it/s] 30%|███ | 15/50 [00:13<00:32, 1.09it/s] 32%|███▏ | 16/50 [00:14<00:31, 1.09it/s] 34%|███▍ | 17/50 [00:15<00:30, 1.09it/s] 36%|███▌ | 18/50 [00:16<00:29, 1.09it/s] 38%|███▊ | 19/50 [00:17<00:28, 1.09it/s] 40%|████ | 20/50 [00:18<00:27, 1.08it/s] 42%|████▏ | 21/50 [00:19<00:26, 1.08it/s] 44%|████▍ | 22/50 [00:20<00:26, 1.07it/s] 46%|████▌ | 23/50 [00:21<00:25, 1.07it/s] 48%|████▊ | 24/50 [00:22<00:24, 1.07it/s] 50%|█████ | 25/50 [00:23<00:23, 1.07it/s] 52%|█████▏ | 26/50 [00:23<00:22, 1.07it/s] 54%|█████▍ | 27/50 [00:24<00:21, 1.07it/s] 56%|█████▌ | 28/50 [00:25<00:20, 1.07it/s] 58%|█████▊ | 29/50 [00:26<00:19, 1.07it/s] 60%|██████ | 30/50 [00:27<00:18, 1.06it/s] 62%|██████▏ | 31/50 [00:28<00:17, 1.06it/s] 64%|██████▍ | 32/50 [00:29<00:16, 1.06it/s] 66%|██████▌ | 33/50 [00:30<00:15, 1.06it/s] 68%|██████▊ | 34/50 [00:31<00:15, 1.07it/s] 70%|███████ | 35/50 [00:32<00:14, 1.07it/s] 72%|███████▏ | 36/50 [00:33<00:13, 1.07it/s] 74%|███████▍ | 37/50 [00:34<00:12, 1.06it/s] 76%|███████▌ | 38/50 [00:35<00:11, 1.06it/s] 78%|███████▊ | 39/50 [00:36<00:10, 1.06it/s] 80%|████████ | 40/50 [00:37<00:09, 1.06it/s] 82%|████████▏ | 41/50 [00:38<00:08, 1.06it/s] 84%|████████▍ | 42/50 [00:39<00:07, 1.06it/s] 86%|████████▌ | 43/50 [00:39<00:06, 1.06it/s] 88%|████████▊ | 44/50 [00:40<00:05, 1.06it/s] 90%|█████████ | 45/50 [00:41<00:04, 1.06it/s] 92%|█████████▏| 46/50 [00:42<00:03, 1.06it/s] 94%|█████████▍| 47/50 [00:43<00:02, 1.06it/s] 96%|█████████▌| 48/50 [00:44<00:01, 1.06it/s] 98%|█████████▊| 49/50 [00:45<00:00, 1.06it/s] 100%|██████████| 50/50 [00:46<00:00, 1.06it/s] 100%|██████████| 50/50 [00:46<00:00, 1.07it/s] Decoding latents in cuda:0... done in 1.69s Move latents to cpu... done in 0.02s 0: 640x480 2 faces, 174.5ms Speed: 3.3ms preprocess, 174.5ms inference, 28.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.08it/s] 9%|▊ | 2/23 [00:00<00:08, 2.38it/s] 13%|█▎ | 3/23 [00:01<00:07, 2.58it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.68it/s] 22%|██▏ | 5/23 [00:01<00:06, 2.66it/s] 26%|██▌ | 6/23 [00:02<00:06, 2.71it/s] 30%|███ | 7/23 [00:02<00:05, 2.76it/s] 35%|███▍ | 8/23 [00:03<00:05, 2.73it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.77it/s] 43%|████▎ | 10/23 [00:03<00:04, 2.74it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.76it/s] 52%|█████▏ | 12/23 [00:04<00:03, 2.77it/s] 57%|█████▋ | 13/23 [00:04<00:03, 2.74it/s] 61%|██████ | 14/23 [00:05<00:03, 2.73it/s] 65%|██████▌ | 15/23 [00:05<00:02, 2.74it/s] 70%|██████▉ | 16/23 [00:05<00:02, 2.74it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.76it/s] 78%|███████▊ | 18/23 [00:06<00:01, 2.76it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.73it/s] 87%|████████▋ | 20/23 [00:07<00:01, 2.77it/s] 91%|█████████▏| 21/23 [00:07<00:00, 2.75it/s] 96%|█████████▌| 22/23 [00:08<00:00, 2.77it/s] 100%|██████████| 23/23 [00:08<00:00, 2.77it/s] 100%|██████████| 23/23 [00:08<00:00, 2.72it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:08, 2.72it/s] 9%|▊ | 2/23 [00:00<00:07, 2.77it/s] 13%|█▎ | 3/23 [00:01<00:07, 2.67it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.70it/s] 22%|██▏ | 5/23 [00:01<00:06, 2.65it/s] 26%|██▌ | 6/23 [00:02<00:06, 2.65it/s] 30%|███ | 7/23 [00:02<00:05, 2.70it/s] 35%|███▍ | 8/23 [00:02<00:05, 2.72it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.76it/s] 43%|████▎ | 10/23 [00:03<00:04, 2.79it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.79it/s] 52%|█████▏ | 12/23 [00:04<00:03, 2.83it/s] 57%|█████▋ | 13/23 [00:04<00:03, 2.81it/s] 61%|██████ | 14/23 [00:05<00:03, 2.85it/s] 65%|██████▌ | 15/23 [00:05<00:02, 2.87it/s] 70%|██████▉ | 16/23 [00:05<00:02, 2.72it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.78it/s] 78%|███████▊ | 18/23 [00:06<00:01, 2.80it/s] 83%|████████▎ | 19/23 [00:06<00:01, 2.83it/s] 87%|████████▋ | 20/23 [00:07<00:01, 2.85it/s] 91%|█████████▏| 21/23 [00:07<00:00, 2.88it/s] 96%|█████████▌| 22/23 [00:07<00:00, 2.89it/s] 100%|██████████| 23/23 [00:08<00:00, 2.89it/s] 100%|██████████| 23/23 [00:08<00:00, 2.79it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.5ms Speed: 2.5ms preprocess, 8.5ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:07, 2.90it/s] 9%|▊ | 2/23 [00:00<00:07, 2.91it/s] 13%|█▎ | 3/23 [00:01<00:06, 2.87it/s] 17%|█▋ | 4/23 [00:01<00:06, 2.82it/s] 22%|██▏ | 5/23 [00:01<00:06, 2.86it/s] 26%|██▌ | 6/23 [00:02<00:06, 2.82it/s] 30%|███ | 7/23 [00:02<00:05, 2.74it/s] 35%|███▍ | 8/23 [00:02<00:05, 2.79it/s] 39%|███▉ | 9/23 [00:03<00:04, 2.84it/s] 43%|████▎ | 10/23 [00:03<00:04, 2.87it/s] 48%|████▊ | 11/23 [00:03<00:04, 2.85it/s] 52%|█████▏ | 12/23 [00:04<00:03, 2.87it/s] 57%|█████▋ | 13/23 [00:04<00:03, 2.89it/s] 61%|██████ | 14/23 [00:04<00:03, 2.74it/s] 65%|██████▌ | 15/23 [00:05<00:02, 2.79it/s] 70%|██████▉ | 16/23 [00:05<00:02, 2.83it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.81it/s] 78%|███████▊ | 18/23 [00:06<00:01, 2.85it/s] 83%|████████▎ | 19/23 [00:06<00:01, 2.88it/s] 87%|████████▋ | 20/23 [00:07<00:01, 2.85it/s] 91%|█████████▏| 21/23 [00:07<00:00, 2.73it/s] 96%|█████████▌| 22/23 [00:07<00:00, 2.76it/s] 100%|██████████| 23/23 [00:08<00:00, 2.76it/s] 100%|██████████| 23/23 [00:08<00:00, 2.82it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.0ms Speed: 2.4ms preprocess, 8.0ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:07, 2.80it/s] 9%|▊ | 2/23 [00:00<00:07, 2.84it/s] 13%|█▎ | 3/23 [00:01<00:06, 2.88it/s] 17%|█▋ | 4/23 [00:01<00:06, 2.84it/s] 22%|██▏ | 5/23 [00:01<00:06, 2.86it/s] 26%|██▌ | 6/23 [00:02<00:05, 2.87it/s] 30%|███ | 7/23 [00:02<00:05, 2.81it/s] 35%|███▍ | 8/23 [00:02<00:05, 2.83it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.79it/s] 43%|████▎ | 10/23 [00:03<00:04, 2.74it/s] 48%|████▊ | 11/23 [00:03<00:04, 2.75it/s] 52%|█████▏ | 12/23 [00:04<00:04, 2.74it/s] 57%|█████▋ | 13/23 [00:04<00:03, 2.79it/s] 61%|██████ | 14/23 [00:04<00:03, 2.79it/s] 65%|██████▌ | 15/23 [00:05<00:02, 2.75it/s] 70%|██████▉ | 16/23 [00:05<00:02, 2.80it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.84it/s] 78%|███████▊ | 18/23 [00:06<00:01, 2.85it/s] 83%|████████▎ | 19/23 [00:06<00:01, 2.78it/s] 87%|████████▋ | 20/23 [00:07<00:01, 2.79it/s] 91%|█████████▏| 21/23 [00:07<00:00, 2.74it/s] 96%|█████████▌| 22/23 [00:07<00:00, 2.75it/s] 100%|██████████| 23/23 [00:08<00:00, 2.80it/s] 100%|██████████| 23/23 [00:08<00:00, 2.80it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
(masterful artwork:1.4) of a 20 yo. steampunk man, victorian village background
negative_prompt
Specify things to not see in the output
inconsistent, unrealistic, (fused, forked, branching, cloned, mutated, mutilated, broken, mushroomed, joined, duplicated:1.3), (photography, anime, 3d, render:1.5)
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1714589370
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
50
cfg_scale
Scale for classifier-free guidance
7.5
clip_skip
The number of last layers of CLIP network to skip
1
vae
Select VAE
None
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)
OverallDetail-embedding.pt
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/014c66239d5048f3877ce3510e335302/00000-1714589370.webp
https://files.tungsten.run/uploads/fe8c38134cc640589f0834130804d83e/00001-1714589371.webp
https://files.tungsten.run/uploads/700350dd423a468ba6ba423a9e05f5c5/00002-1714589372.webp
Finished in 94.7 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: (masterful artwork:1.4) of a 20 yo. steampunk man, victorian village background Full negative prompt: inconsistent, unrealistic, (fused, forked, branching, cloned, mutated, mutilated, broken, mushroomed, joined, duplicated:1.3), (photography, anime, 3d, render:1.5) 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:44, 1.10it/s] 4%|▍ | 2/50 [00:01<00:43, 1.10it/s] 6%|▌ | 3/50 [00:02<00:42, 1.10it/s] 8%|▊ | 4/50 [00:03<00:42, 1.10it/s] 10%|█ | 5/50 [00:04<00:41, 1.09it/s] 12%|█▏ | 6/50 [00:05<00:40, 1.09it/s] 14%|█▍ | 7/50 [00:06<00:39, 1.09it/s] 16%|█▌ | 8/50 [00:07<00:38, 1.09it/s] 18%|█▊ | 9/50 [00:08<00:37, 1.09it/s] 20%|██ | 10/50 [00:09<00:36, 1.09it/s] 22%|██▏ | 11/50 [00:10<00:35, 1.09it/s] 24%|██▍ | 12/50 [00:10<00:34, 1.09it/s] 26%|██▌ | 13/50 [00:11<00:33, 1.09it/s] 28%|██▊ | 14/50 [00:12<00:32, 1.09it/s] 30%|███ | 15/50 [00:13<00:32, 1.09it/s] 32%|███▏ | 16/50 [00:14<00:31, 1.09it/s] 34%|███▍ | 17/50 [00:15<00:30, 1.09it/s] 36%|███▌ | 18/50 [00:16<00:29, 1.09it/s] 38%|███▊ | 19/50 [00:17<00:28, 1.09it/s] 40%|████ | 20/50 [00:18<00:27, 1.08it/s] 42%|████▏ | 21/50 [00:19<00:26, 1.08it/s] 44%|████▍ | 22/50 [00:20<00:26, 1.07it/s] 46%|████▌ | 23/50 [00:21<00:25, 1.07it/s] 48%|████▊ | 24/50 [00:22<00:24, 1.07it/s] 50%|█████ | 25/50 [00:23<00:23, 1.07it/s] 52%|█████▏ | 26/50 [00:23<00:22, 1.07it/s] 54%|█████▍ | 27/50 [00:24<00:21, 1.07it/s] 56%|█████▌ | 28/50 [00:25<00:20, 1.07it/s] 58%|█████▊ | 29/50 [00:26<00:19, 1.07it/s] 60%|██████ | 30/50 [00:27<00:18, 1.06it/s] 62%|██████▏ | 31/50 [00:28<00:17, 1.06it/s] 64%|██████▍ | 32/50 [00:29<00:16, 1.06it/s] 66%|██████▌ | 33/50 [00:30<00:15, 1.06it/s] 68%|██████▊ | 34/50 [00:31<00:15, 1.07it/s] 70%|███████ | 35/50 [00:32<00:14, 1.07it/s] 72%|███████▏ | 36/50 [00:33<00:13, 1.07it/s] 74%|███████▍ | 37/50 [00:34<00:12, 1.06it/s] 76%|███████▌ | 38/50 [00:35<00:11, 1.06it/s] 78%|███████▊ | 39/50 [00:36<00:10, 1.06it/s] 80%|████████ | 40/50 [00:37<00:09, 1.06it/s] 82%|████████▏ | 41/50 [00:38<00:08, 1.06it/s] 84%|████████▍ | 42/50 [00:39<00:07, 1.06it/s] 86%|████████▌ | 43/50 [00:39<00:06, 1.06it/s] 88%|████████▊ | 44/50 [00:40<00:05, 1.06it/s] 90%|█████████ | 45/50 [00:41<00:04, 1.06it/s] 92%|█████████▏| 46/50 [00:42<00:03, 1.06it/s] 94%|█████████▍| 47/50 [00:43<00:02, 1.06it/s] 96%|█████████▌| 48/50 [00:44<00:01, 1.06it/s] 98%|█████████▊| 49/50 [00:45<00:00, 1.06it/s] 100%|██████████| 50/50 [00:46<00:00, 1.06it/s] 100%|██████████| 50/50 [00:46<00:00, 1.07it/s] Decoding latents in cuda:0... done in 1.69s Move latents to cpu... done in 0.02s 0: 640x480 2 faces, 174.5ms Speed: 3.3ms preprocess, 174.5ms inference, 28.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.08it/s] 9%|▊ | 2/23 [00:00<00:08, 2.38it/s] 13%|█▎ | 3/23 [00:01<00:07, 2.58it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.68it/s] 22%|██▏ | 5/23 [00:01<00:06, 2.66it/s] 26%|██▌ | 6/23 [00:02<00:06, 2.71it/s] 30%|███ | 7/23 [00:02<00:05, 2.76it/s] 35%|███▍ | 8/23 [00:03<00:05, 2.73it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.77it/s] 43%|████▎ | 10/23 [00:03<00:04, 2.74it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.76it/s] 52%|█████▏ | 12/23 [00:04<00:03, 2.77it/s] 57%|█████▋ | 13/23 [00:04<00:03, 2.74it/s] 61%|██████ | 14/23 [00:05<00:03, 2.73it/s] 65%|██████▌ | 15/23 [00:05<00:02, 2.74it/s] 70%|██████▉ | 16/23 [00:05<00:02, 2.74it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.76it/s] 78%|███████▊ | 18/23 [00:06<00:01, 2.76it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.73it/s] 87%|████████▋ | 20/23 [00:07<00:01, 2.77it/s] 91%|█████████▏| 21/23 [00:07<00:00, 2.75it/s] 96%|█████████▌| 22/23 [00:08<00:00, 2.77it/s] 100%|██████████| 23/23 [00:08<00:00, 2.77it/s] 100%|██████████| 23/23 [00:08<00:00, 2.72it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:08, 2.72it/s] 9%|▊ | 2/23 [00:00<00:07, 2.77it/s] 13%|█▎ | 3/23 [00:01<00:07, 2.67it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.70it/s] 22%|██▏ | 5/23 [00:01<00:06, 2.65it/s] 26%|██▌ | 6/23 [00:02<00:06, 2.65it/s] 30%|███ | 7/23 [00:02<00:05, 2.70it/s] 35%|███▍ | 8/23 [00:02<00:05, 2.72it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.76it/s] 43%|████▎ | 10/23 [00:03<00:04, 2.79it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.79it/s] 52%|█████▏ | 12/23 [00:04<00:03, 2.83it/s] 57%|█████▋ | 13/23 [00:04<00:03, 2.81it/s] 61%|██████ | 14/23 [00:05<00:03, 2.85it/s] 65%|██████▌ | 15/23 [00:05<00:02, 2.87it/s] 70%|██████▉ | 16/23 [00:05<00:02, 2.72it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.78it/s] 78%|███████▊ | 18/23 [00:06<00:01, 2.80it/s] 83%|████████▎ | 19/23 [00:06<00:01, 2.83it/s] 87%|████████▋ | 20/23 [00:07<00:01, 2.85it/s] 91%|█████████▏| 21/23 [00:07<00:00, 2.88it/s] 96%|█████████▌| 22/23 [00:07<00:00, 2.89it/s] 100%|██████████| 23/23 [00:08<00:00, 2.89it/s] 100%|██████████| 23/23 [00:08<00:00, 2.79it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.5ms Speed: 2.5ms preprocess, 8.5ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:07, 2.90it/s] 9%|▊ | 2/23 [00:00<00:07, 2.91it/s] 13%|█▎ | 3/23 [00:01<00:06, 2.87it/s] 17%|█▋ | 4/23 [00:01<00:06, 2.82it/s] 22%|██▏ | 5/23 [00:01<00:06, 2.86it/s] 26%|██▌ | 6/23 [00:02<00:06, 2.82it/s] 30%|███ | 7/23 [00:02<00:05, 2.74it/s] 35%|███▍ | 8/23 [00:02<00:05, 2.79it/s] 39%|███▉ | 9/23 [00:03<00:04, 2.84it/s] 43%|████▎ | 10/23 [00:03<00:04, 2.87it/s] 48%|████▊ | 11/23 [00:03<00:04, 2.85it/s] 52%|█████▏ | 12/23 [00:04<00:03, 2.87it/s] 57%|█████▋ | 13/23 [00:04<00:03, 2.89it/s] 61%|██████ | 14/23 [00:04<00:03, 2.74it/s] 65%|██████▌ | 15/23 [00:05<00:02, 2.79it/s] 70%|██████▉ | 16/23 [00:05<00:02, 2.83it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.81it/s] 78%|███████▊ | 18/23 [00:06<00:01, 2.85it/s] 83%|████████▎ | 19/23 [00:06<00:01, 2.88it/s] 87%|████████▋ | 20/23 [00:07<00:01, 2.85it/s] 91%|█████████▏| 21/23 [00:07<00:00, 2.73it/s] 96%|█████████▌| 22/23 [00:07<00:00, 2.76it/s] 100%|██████████| 23/23 [00:08<00:00, 2.76it/s] 100%|██████████| 23/23 [00:08<00:00, 2.82it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.0ms Speed: 2.4ms preprocess, 8.0ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:07, 2.80it/s] 9%|▊ | 2/23 [00:00<00:07, 2.84it/s] 13%|█▎ | 3/23 [00:01<00:06, 2.88it/s] 17%|█▋ | 4/23 [00:01<00:06, 2.84it/s] 22%|██▏ | 5/23 [00:01<00:06, 2.86it/s] 26%|██▌ | 6/23 [00:02<00:05, 2.87it/s] 30%|███ | 7/23 [00:02<00:05, 2.81it/s] 35%|███▍ | 8/23 [00:02<00:05, 2.83it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.79it/s] 43%|████▎ | 10/23 [00:03<00:04, 2.74it/s] 48%|████▊ | 11/23 [00:03<00:04, 2.75it/s] 52%|█████▏ | 12/23 [00:04<00:04, 2.74it/s] 57%|█████▋ | 13/23 [00:04<00:03, 2.79it/s] 61%|██████ | 14/23 [00:04<00:03, 2.79it/s] 65%|██████▌ | 15/23 [00:05<00:02, 2.75it/s] 70%|██████▉ | 16/23 [00:05<00:02, 2.80it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.84it/s] 78%|███████▊ | 18/23 [00:06<00:01, 2.85it/s] 83%|████████▎ | 19/23 [00:06<00:01, 2.78it/s] 87%|████████▋ | 20/23 [00:07<00:01, 2.79it/s] 91%|█████████▏| 21/23 [00:07<00:00, 2.74it/s] 96%|█████████▌| 22/23 [00:07<00:00, 2.75it/s] 100%|██████████| 23/23 [00:08<00:00, 2.80it/s] 100%|██████████| 23/23 [00:08<00:00, 2.80it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s Uploading outputs... Finished.